CN110175446A - Personal identification method and relevant apparatus - Google Patents

Abstract

The present application discloses an identification method and a related device, which are applied to electronic equipment including a biometric identification module. The method includes: performing biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image; analyzing the fingerprint image to obtain fingerprint feature information, and analyzing the finger vein image to obtain finger vein feature information; determining a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determining a second quality evaluation value of the finger vein image based on the finger vein feature information; The quality evaluation value and the second quality evaluation value determine the first ratio and the second ratio; the identification is performed based on the first ratio and the second ratio. By adopting the embodiments of the present application, the success rate of identity recognition can be improved.

Description

Identification method and related device

technical field

The present application relates to the field of electronic technology, and in particular, to an identity recognition method and related devices.

Background technique

Common methods of identity recognition include fingerprint recognition, pupil recognition, face recognition, and the like. At present, the identification method set on an electronic device (such as a mobile phone, a tablet, etc.) is usually one of the above-mentioned common methods. There is such a problem in this single-pattern recognition. When the valid recognition area of the collected image is small, even if all the feature points in the valid recognition area are successfully matched with the predetermined feature points, the electronic device will still judge that the identity recognition fails, and thus This reduces the success rate of identification.

SUMMARY OF THE INVENTION

Embodiments of the present application provide an identity recognition method and a related device, which are used to improve the success rate of identity recognition.

In a first aspect, an embodiment of the present application provides an identification method, which is applied to an electronic device including a biometric identification module, and the method includes:

Perform biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image;

Parsing the fingerprint image to obtain fingerprint feature information, and parsing the finger vein image to obtain finger vein feature information;

determining a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determining a second quality evaluation value of the finger vein image based on the finger vein feature information;

A first ratio and a second ratio are determined based on the first quality evaluation value and the second quality evaluation value, where the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information, and the The second ratio is used to represent the proportion of the finger vein feature information in the total biometric information;

The identification is performed based on the first scale and the second scale.

In a second aspect, an embodiment of the present application provides an identification device, which is applied to an electronic device including a biometric module, and the device includes:

an image acquisition unit for performing biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image;

an analysis unit, configured to analyze the fingerprint image to obtain fingerprint feature information, and analyze the finger vein image to obtain finger vein feature information;

a determining unit, configured to determine a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determine a second quality evaluation value of the finger vein image based on the finger vein feature information; based on the first quality The evaluation value and the second quality evaluation value determine a first ratio and a second ratio, the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information, and the second ratio is used to representing the proportion of the finger vein feature information in the total biometric information;

An identification unit, configured to perform identification based on the first ratio and the second ratio.

In a third aspect, embodiments of the present application provide an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be processed by the above-mentioned processing The above program includes instructions for executing the steps in the method described in the first aspect of the embodiments of the present application.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the computer program as described in the first embodiment of the present application. Some or all of the steps described in the method of an aspect.

In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute as implemented in the present application. For example, some or all of the steps described in the method described in the first aspect. The computer program product may be a software installation package.

It can be seen that, in the embodiment of the present application, the biometric identification module is used for biometric identification to obtain a fingerprint image and a finger vein image; then the fingerprint image is analyzed to obtain fingerprint feature information, and the finger vein image is analyzed to obtain a finger vein image. feature information; determine the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determine the second quality evaluation value of the finger vein image based on the finger vein feature information; determine the first quality evaluation value based on the first quality evaluation value and the second quality evaluation value. A ratio and a second ratio, and identification based on the first ratio and the second ratio, this multi-pattern recognition that combines fingerprint recognition and finger vein recognition, collects more feature information than single-pattern recognition. It can make up for the problem of recognition failure caused by too little characteristic information collected under single-pattern recognition, thereby improving the success rate of identity recognition; at the same time, fingerprint recognition and finger vein recognition share a set of biometric recognition modules, which solves the problem of multi-pattern recognition. The use of two sets of biometric modules leads to the problem of taking up more space for electronic equipment.

These and other aspects of the present application will be more clearly understood in the description of the following embodiments.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

2 is a schematic flowchart of an identification method provided by an embodiment of the present application;

3 is a schematic flowchart of an identity identification method provided by an embodiment of the present application;

4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of an identification device provided by an embodiment of the present application.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only The embodiments are part of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present application.

Each of them will be described in detail below.

The terms "first", "second", "third" and "fourth" in the description and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

Hereinafter, some terms in the present application will be explained so as to facilitate the understanding of those skilled in the art.

Please refer to FIG. 1. FIG. 1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device includes a processor, a memory, a signal processor, a communication interface, a touch screen, a biometric identification module, a speaker, a microphone, a Random Access Memory (Random Access Memory, RAM) and cameras, etc.

The processor may also be an AP processor or other processors.

The memory, signal processor, touch screen, speaker, microphone, RAM and camera are connected to the processor, and the communication interface is connected to the signal processor.

Among them, the biometric module includes biometric sensors, transmitters, gyroscopes, and the like. The transmitter is used for emitting infrared light signals, and the biometric identification module is used for biometric identification to obtain a fingerprint image and a finger vein image. The biometric module can be arranged on the front, back, two sides of the electronic device, or other positions that are convenient for finger vein identification and fingerprint identification, which are not limited here.

The touch screen includes a biometric identification area, and the biometric identification module is located below the biometric identification area.

In the embodiment of the present application, the processor is configured to perform biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image; parse the fingerprint image to obtain fingerprint feature information, and parse the finger vein image, obtaining finger vein feature information; determining a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determining a second quality evaluation value of the finger vein image based on the finger vein feature information; The quality evaluation value and the second quality evaluation value determine a first ratio and a second ratio, the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information, and the second ratio is used is used to characterize the proportion of the finger vein feature information in the total biometric information; identification is performed based on the first proportion and the second proportion.

In an implementation manner of the present application, the fingerprint feature information includes a plurality of first information, the finger vein feature information includes a plurality of second information, each first information corresponds to a first value, and each second information Corresponding to a second value, each first information corresponding to a first weight, and each second information corresponding to a second weight, determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and based on the In terms of determining the second quality evaluation value of the finger vein image by the finger vein feature information, the processor is specifically configured to be based on a plurality of first weights corresponding to the plurality of first information, and the plurality of first information corresponding to A plurality of first values and a quality evaluation formula are calculated to obtain a first quality evaluation value of the fingerprint image; based on the plurality of second weights corresponding to the plurality of second information, the plurality of second information corresponding to the plurality of second information The second numerical value and the quality evaluation formula are calculated to obtain the second quality evaluation value of the finger vein image.

In an implementation manner of the present application, in terms of performing identity recognition based on the first ratio and the second ratio, the processor is specifically configured to match the fingerprint image with a predetermined fingerprint image to obtain a first matching matching the finger vein image with the predetermined finger vein image to obtain a second matching degree; when both the first matching degree and the second matching degree are greater than or equal to the first threshold, based on the first matching degree A matching degree, the first proportion, the second matching degree, the second proportion and the matching degree formula determine the third matching degree; when the third matching degree is greater than or equal to the second threshold, determine the identity recognition success.

In an implementation manner of the present application, the processor is further configured to, when the first matching degree or the second matching degree is less than the first threshold, or when the third matching degree is less than the first matching degree When there are two thresholds, it is determined that the identity recognition fails.

In an implementation manner of the present application, the electronic device further includes a biometric identification area, the biometric identification module includes a transmitter and a biometric sensor, the transmitter is used for emitting infrared light signals, and when the biometric identification module passes the In terms of obtaining the fingerprint image and the finger vein image, the processor is specifically configured to control the transmitter to emit a first infrared light signal to illuminate the biometric identification area, and to perform fingerprint identification through the biometric identification module, obtaining a fingerprint image; controlling the transmitter to emit a second infrared light signal to illuminate the biometric identification area, and performing finger vein identification through the biometric identification module to obtain a finger vein image; the first infrared light signal and the The frequencies of the second infrared light signals are different, and the absorption rate of the finger vein blood to the first infrared light signal is smaller than the absorption rate of the second infrared light signal.

In an implementation manner of the present application, the finger vein information includes third information, where the third information includes a degree of change in light and shade of blood in the finger vein and/or a degree of change in the extension of the finger vein, based on the first ratio and Before the identification of the second ratio is performed, the processor is further configured to determine the flow speed of the finger vein blood based on the third information; when the flow speed of the finger vein blood is greater than or equal to the first speed, determine the The finger associated with the fingerprint image and the finger vein image is a living finger.

In an implementation manner of the present application, before controlling the transmitter to emit a first infrared light signal to illuminate the biometric identification area, the processor is further configured to determine whether the finger associated with the fingerprint image and the finger vein image is related to the fingerprint image. the first distance of the biometric sensor and the moving speed of the finger; the working parameters of the transmitter are determined based on the first distance and the moving speed, and the working parameters include at least one of the following: transmit power, Emission time, optical signal strength.

It should be noted that, for the specific implementation process of the steps executed by each module, reference may be made to the specific implementation process described in the following method, which will not be described here.

Please refer to FIG. 2. FIG. 2 is a schematic flowchart of an identification method provided by an embodiment of the present application, which is applied to the above-mentioned electronic device. The method includes:

Step 201: Perform biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image.

Among them, the biometric module has a fingerprint image acquisition function and a finger vein image acquisition function, which can collect fingerprint images and finger vein images at the same time; it can also collect fingerprint images first, and then collect finger vein images; The fingerprint image is collected, which is not limited here.

Step 202: Analyze the fingerprint image to obtain fingerprint feature information, and analyze the finger vein image to obtain finger vein feature information.

In an implementation manner of the present application, the plurality of first pieces of information include at least one of the following: the effective area of the fingerprint image, the degree of offset of the fingerprint image, the dryness and humidity of the fingerprint image, the fingerprint image The plurality of second information includes at least one of the following: the effective area of the finger vein image, the offset degree of the finger vein image, the contrast of the finger vein image, the characteristics of the finger vein image point.

The fingerprint image and the finger vein image both include a foreground area and a background area, the effective area of the fingerprint image refers to the area of the foreground area in the fingerprint image, and the effective area of the finger vein image refers to the area of the foreground area in the finger vein image.

The offset degree of the fingerprint image refers to the offset degree of the centroid of the effective area of the fingerprint image relative to the centroid of the fingerprint image, and the offset degree of the finger vein image refers to the offset degree of the centroid of the effective area of the vein image relative to the centroid of the fingerprint image. degree of offset.

Among them, the dryness and humidity of the fingerprint image is a parameter to measure the quality of the fingerprint image from the angle of the wetness and dryness of the recorded finger. If the fingers are too dry or too wet, the recorded fingerprint lines will be unclear, the number of feature points will be small, and the direction information will be confused. When the finger is too dry, the entered fingerprint image is dominated by white pixels, and its grayscale variance is small and the grayscale mean is large; when the finger is too wet, the entered fingerprint image is dominated by black pixels, and its grayscale variance and grayscale Means are small.

Among them, the contrast of the finger vein image is a parameter to measure the quality of the finger vein image from the angle of illumination. In the process of finger vein image acquisition, due to the influence of uneven illumination, the image will be brighter or darker, which is not conducive to subsequent image processing. The contrast of the finger vein image can be determined by the mean square error of the finger vein image.

Among them, the feature points of the fingerprint image provide confirmation information of the uniqueness of the fingerprint, such as core points, triangle points, number of lines, bifurcation points, divergence points, isolated points, ring points, short lines and so on.

Among them, the feature points of the finger vein image provide confirmation information of the uniqueness of the finger vein, and the feature points of the finger vein image include, for example, endpoints, intersections, and ridges.

Step 203: Determine a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determine a second quality evaluation value of the finger vein image based on the finger vein feature information.

In an implementation manner of the present application, the fingerprint feature information includes a plurality of first information, the finger vein feature information includes a plurality of second information, each first information corresponds to a first value, and each second information Corresponding to a second value, each first information corresponding to a first weight, and each second information corresponding to a second weight, the determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and the The finger vein feature information determines the second quality evaluation value of the finger vein image, including:

Based on a plurality of first weights corresponding to the plurality of first pieces of information, a plurality of first values corresponding to the plurality of first pieces of information, and a quality evaluation formula are calculated to obtain a first quality evaluation value of the fingerprint image;

Based on the plurality of second weights corresponding to the plurality of second information, the plurality of second values corresponding to the plurality of second information, and the quality evaluation formula are calculated to obtain the second quality evaluation of the finger vein image. value.

In an implementation of the present application, the first value corresponding to the effective area of the fingerprint image is determined based on a first formula. The first formula is Q ₁ =S ₀ /S, where Q ₁ is the first value corresponding to the effective area of the fingerprint image. A value, S ₀ is the effective area of the fingerprint image, S is the total area of the fingerprint image, S=S ₀ +S ₁ , S ₀ is the invalid area of the fingerprint image.

In an implementation manner of the present application, the first value corresponding to the offset degree of the fingerprint image is determined based on a second formula, and the second formula is Q ₂ =1-(X _c -W/2)/(W/2) or Q ₂ =1-(Y _c -H/2)/(H/2), wherein Q ₂ is the first numerical value corresponding to the offset degree of the fingerprint image, X _c and Y _c are the effective area of the fingerprint image respectively The abscissa and ordinate of the centroid, W and H are the width and length of the fingerprint image, respectively.

In an implementation of the present application, the first value corresponding to the dry humidity of the fingerprint image is determined based on a third formula, and the third formula is Q ₃ =1-N _D /NN _W /N, where Q ₃ is the value of the fingerprint image The first numerical value corresponding to the dry humidity, N _D , N _W , and N are the number of dry image blocks, the number of wet image blocks, and the total number of foreground blocks of the fingerprint image, respectively.

In an implementation of the present application, the first value corresponding to the feature point of the fingerprint image is determined based on a fourth formula, and the fourth formula is Q ₄ =P _T /P, where Q ₄ is the first value corresponding to the feature point of the fingerprint image. A numerical value, P _T and P are the number of feature points in the fingerprint image and the number of feature points in the preset fingerprint image, respectively.

In an implementation of the present application, the second value corresponding to the contrast of the finger vein image is determined based on a fifth formula, and the fifth formula is Q ₅ =C _δ /C, where Q ₅ is the first value corresponding to the contrast of the finger vein image A numerical value, C _δ , C are the mean square error and standard mean square error of the finger vein image, respectively.

It should be noted that, the second numerical value corresponding to the effective area of the finger vein image is determined in the same manner as the first numerical value corresponding to the effective area of the fingerprint image, and the second numerical value corresponding to the offset degree of the finger vein image is the same as the first numerical value corresponding to the effective area of the fingerprint image. The first numerical value corresponding to the offset degree of the fingerprint image is determined in the same manner, and the second numerical value corresponding to the feature point of the finger vein image is determined in the same manner as the first numerical value corresponding to the feature point of the fingerprint image. Repeat the instructions again.

In an implementation manner of the present application, the quality evaluation formula is determined based on a sixth formula, and the sixth formula is: Among them, Q is the total quality evaluation value, Q _i is the value corresponding to the ith information, and R _i is the weight corresponding to the ith information.

Step 204: Determine a first ratio and a second ratio based on the first quality evaluation value and the second quality evaluation value, where the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information. The second ratio is used to represent the proportion of the finger vein feature information in the total biometric information.

In an implementation manner of the present application, the determining of the first ratio and the second ratio based on the first quality evaluation value and the second quality evaluation value includes:

The first ratio is determined based on the seventh formula, and the second ratio is determined based on the eighth formula, the seventh formula is m ₁ =q ₆ /(q ₆ +q ₇ ), and the eighth formula is m ₂ =q ₇ / (q ₆ +q ₇ ), the m ₁ and the m ₂ are the first ratio and the second ratio, respectively, the q ₆ and the q ₇ are the first quality evaluation value and the the second quality evaluation value.

Step 205: Perform identification based on the first ratio and the second ratio.

It can be seen that, in the embodiment of the present application, the biometric identification module is used for biometric identification to obtain a fingerprint image and a finger vein image; then the fingerprint image is analyzed to obtain fingerprint feature information, and the finger vein image is analyzed to obtain a finger vein image. feature information; determine the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determine the second quality evaluation value of the finger vein image based on the finger vein feature information; determine the first quality evaluation value based on the first quality evaluation value and the second quality evaluation value. A ratio and a second ratio, and identification based on the first ratio and the second ratio, this multi-pattern recognition that combines fingerprint recognition and finger vein recognition, collects more feature information than single-pattern recognition. It can make up for the problem of recognition failure caused by too little characteristic information collected under single-pattern recognition, thereby improving the success rate of identity recognition; at the same time, fingerprint recognition and finger vein recognition share a set of biometric recognition modules, which solves the problem of multi-pattern recognition. The use of two sets of biometric modules leads to the problem of taking up more space for electronic equipment.

In an implementation manner of the present application, the performing identification based on the first ratio and the second ratio includes:

matching the fingerprint image with a predetermined fingerprint image to obtain a first degree of matching;

matching the finger vein image with a predetermined finger vein image to obtain a second matching degree;

When both the first matching degree and the second matching degree are greater than or equal to a first threshold, based on the first matching degree, the first ratio, the second matching degree, the second ratio and the The matching degree formula determines the third matching degree;

When the third degree of matching is greater than or equal to the second threshold, it is determined that the identity recognition is successful.

In an implementation manner of the present application, the matching degree formula is n=m ₁ n ₁ +m ₂ n ₂ , the n is the third matching degree, and n ₁ and n ₂ are the third matching degree respectively. A matching degree and the second matching degree.

The first threshold is, for example, 50%, 60%, 70%, or other values, which are not limited here.

The second threshold is, for example, 80%, 85%, 90%, or other values, which are not limited here.

In an implementation of the present application, the method further includes:

When the first matching degree or the second matching degree is less than the first threshold, or when the third matching degree is less than the second threshold, it is determined that the identity recognition fails.

For example, the first matching degree is 0, the second matching degree is 100%, the first ratio is 1/2, the second ratio is 1/2, and the first threshold is 60%, because the first matching degree is smaller than the first threshold , still determined that the identification failed.

As another example, the first matching degree is 70%, the second matching degree is 90%, the first ratio is 1/2, the second ratio is 1/2, the first threshold is 60%, the second threshold is 80%, The calculated third matching degree is 80%, and it is determined that the identification is successful.

In an implementation manner of the present application, the matching of the finger vein image with a predetermined finger vein image includes:

analyzing the feature point distribution of the finger vein image;

Perform circular image interception on the finger vein images according to M different circle centers to obtain M circular vein region images, where M is an integer greater than 3;

A target circular vein area image is selected from the M circular vein area images, and the number of feature points included in the target circular vein area image is larger than that of other circular areas in the M circular vein area images vein area image;

Dividing the target circular vein area image to obtain N rings, and the ring widths of the N rings are the same;

Starting from the ring with the smallest radius among the N rings, the N rings are sequentially matched with the predetermined finger vein images for feature points, and the matching values of the matched rings are accumulated.

It can be seen that, in the embodiment of the present application, identification is performed only when the first matching degree and the second matching degree are both greater than or equal to the first threshold, which avoids the fact that the fingerprint identification image or the finger vein image is duplicated. The image results in the successful identification of the identification, which improves the security of identification.

In an implementation manner of the present application, the electronic device further includes a biometric identification area, the biometric identification module includes a transmitter and a biometric sensor, the transmitter is used for emitting an infrared light signal, and the biometric identification The module performs biometric identification to obtain fingerprint images and finger vein images, including:

Controlling the transmitter to emit a first infrared light signal to illuminate the biometric identification area, and performing fingerprint identification through the biometric identification module to obtain a fingerprint image;

Controlling the transmitter to emit a second infrared light signal to illuminate the biometric identification area, and performing finger vein identification through the biometric identification module to obtain a finger vein image;

The frequencies of the first infrared light signal and the second infrared light signal are different, and the absorption rate of the finger vein blood to the first infrared light signal is lower than the absorption rate of the second infrared light signal.

Among them, the hemoglobin flowing through the blood of the finger vein will absorb the infrared light signal near 700nm ~ 1000nm. For example, the frequency of the first infrared light signal is 500 GHz, and the frequency of the second infrared light signal is 375 GHz.

It can be seen that, in the embodiment of the present application, the optical signals of the fingerprint image and the finger vein image are both infrared light signals, and the biometric information can be collected without lighting the biometric identification area, which saves power consumption.

In an implementation manner of the present application, the finger vein information includes third information, where the third information includes a degree of change in light and shade of blood in the finger vein and/or a degree of change in the extension of the finger vein, and the information is based on the first ratio. Before performing identification with the second ratio, the method further includes:

determining the flow velocity of blood in the vein of the finger based on the third information;

When the flow velocity of the blood in the finger vein is greater than or equal to the first velocity, it is determined that the finger associated with the fingerprint image and the finger vein image is a living finger.

The first speed may be, for example, 0.1 mm/s, 0.2 mm/s, 0.3 mm/s, or other values, which are not limited herein.

For example, a finger vein image is acquired every 0.1ms, and the degree of extension change at the same position in each finger vein image is determined. If the change degree is 0.01mm, the extension change degree of the third finger vein image is 0.02mm, and the extension change degree of the fourth finger vein image is 0.03mm, it can be determined that the blood flow velocity of the finger vein is 0.1mm/s.

It can be seen that, in the embodiment of the present application, before the identification is performed, the living body verification is performed, which further improves the security of the identification.

In an implementation manner of the present application, before the controlling the transmitter to emit a first infrared light signal to illuminate the biometric identification area, the method further includes:

determining the first distance between the finger associated with the fingerprint image and the finger vein image and the biometric sensor and the movement speed of the finger;

A working parameter of the transmitter is determined based on the first distance and the moving speed, and the working parameter includes at least one of the following: transmit power, transmit time, and optical signal strength.

For example, as shown in Table 1, Table 1 is a mapping relationship table between the first distance, the moving speed and the working parameters.

Table 1

It can be seen that, in the embodiment of the present application, determining the transmit power by the first distance and the moving speed can not only improve the collection speed of biometric information, but also save power consumption.

Consistent with the embodiment shown in FIG. 2 , please refer to FIG. 3 . FIG. 3 is a schematic flowchart of an identification method provided by an embodiment of the present application, which is applied to an electronic device including a biometric identification module. The device also includes a biometric area, the biometric module includes a transmitter and a biometric sensor, the transmitter is used to emit infrared light signals, and the identification method includes:

Step 301: Determine the first distance between the finger and the biometric sensor and the movement speed of the finger.

Step 302: Determine a working parameter of the transmitter based on the first distance and the moving speed, where the working parameter includes at least one of the following: transmit power, transmit time, and optical signal strength.

Step 303: Control the transmitter to emit a first infrared light signal based on the working parameters to illuminate the biometric identification area, and perform fingerprint identification through the biometric identification module to obtain a fingerprint image.

Step 304 : control the transmitter to emit a second infrared light signal based on the working parameters to illuminate the biometric identification area, and perform finger vein identification through the biometric identification module to obtain a finger vein image, the first infrared light The frequency of the signal and the second infrared light signal are different, and the absorption rate of the finger vein blood to the first infrared light signal is smaller than the absorption rate of the second infrared light signal.

Step 305: Analyze the fingerprint image to obtain fingerprint feature information, and analyze the finger vein image to obtain finger vein feature information, where the fingerprint feature information includes a plurality of first pieces of information, and the finger vein feature information includes a plurality of first pieces of information. Two information, each first information corresponds to a first value, each second information corresponds to a second value, each first information corresponds to a first weight, each second information corresponds to a second weight, the index The vein information includes third information, where the third information includes the degree of change in brightness and darkness of blood in the vein of the finger and/or the degree of change in the extension of the vein in the finger.

Step 306: Determine the flow speed of the blood in the vein of the finger based on the third information.

Step 307: Determine whether the flow velocity of the finger vein blood is greater than or equal to the first velocity.

If yes, go to step 308;

If not, step 318 is executed.

Step 308: Determine that the finger is a living finger.

Step 309: Calculate based on a plurality of first weights corresponding to the plurality of first information, a plurality of first values corresponding to the plurality of first information, and a quality evaluation formula to obtain a first quality evaluation of the fingerprint image. value.

Step 310: Calculate based on the plurality of second weights corresponding to the plurality of second information, the plurality of second values corresponding to the plurality of second information, and the quality evaluation formula to obtain the first number of the finger vein image. Two quality evaluation values.

Step 311: Determine a first ratio and a second ratio based on the first quality evaluation value and the second quality evaluation value, where the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information. The second ratio is used to represent the proportion of the finger vein feature information in the total biometric information.

Step 312: Match the fingerprint image with a predetermined fingerprint image to obtain a first matching degree, and match the finger vein image with a predetermined finger vein image to obtain a second matching degree.

Step 313: Determine whether the first matching degree and the second matching degree are both greater than or equal to a first threshold.

If yes, go to step 314;

If not, step 318 is executed.

Step 314: When both the first matching degree and the second matching degree are greater than or equal to a first threshold, based on the first matching degree, the first ratio, the second matching degree, the The second ratio and the matching degree formula determine the third matching degree.

Step 315: Determine whether the third matching degree is greater than or equal to a second threshold.

If so, step 316 is executed.

If not, go to step 317.

Step 316: Determine that the identity recognition is successful.

Step 317: Determine that the identity recognition fails.

It should be noted that, for the specific implementation process of this embodiment, reference may be made to the specific implementation process described in the foregoing method embodiment, which is not described herein again.

Consistent with the embodiments shown in FIGS. 2 and 3 above, please refer to FIG. 4. FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in the figure, the electronic device includes a memory and a communication interface. and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the following steps:

Perform biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image;

Parsing the fingerprint image to obtain fingerprint feature information, and parsing the finger vein image to obtain finger vein feature information;

determining a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determining a second quality evaluation value of the finger vein image based on the finger vein feature information;

A first ratio and a second ratio are determined based on the first quality evaluation value and the second quality evaluation value, where the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information, and the The second ratio is used to represent the proportion of the finger vein feature information in the total biometric information;

The identification is performed based on the first scale and the second scale.

In an implementation manner of the present application, the fingerprint feature information includes a plurality of first information, the finger vein feature information includes a plurality of second information, each first information corresponds to a first value, and each second information Corresponding to a second value, each first information corresponding to a first weight, and each second information corresponding to a second weight, determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and based on the In terms of determining the second quality evaluation value of the finger vein image based on the finger vein feature information, the above program includes instructions specifically for executing the following steps:

Based on a plurality of first weights corresponding to the plurality of first pieces of information, a plurality of first values corresponding to the plurality of first pieces of information, and a quality evaluation formula are calculated to obtain a first quality evaluation value of the fingerprint image;

Based on the plurality of second weights corresponding to the plurality of second information, the plurality of second values corresponding to the plurality of second information, and the quality evaluation formula are calculated to obtain the second quality evaluation of the finger vein image. value.

In an implementation manner of the present application, in terms of performing identification based on the first ratio and the second ratio, the above program includes instructions specifically for performing the following steps:

matching the fingerprint image with a predetermined fingerprint image to obtain a first degree of matching;

matching the finger vein image with a predetermined finger vein image to obtain a second matching degree;

When both the first matching degree and the second matching degree are greater than or equal to a first threshold, based on the first matching degree, the first ratio, the second matching degree, the second ratio and the The matching degree formula determines the third matching degree;

When the third degree of matching is greater than or equal to the second threshold, it is determined that the identity recognition is successful.

In an implementation manner of the present application, in terms of performing identification based on the first ratio and the second ratio, the above program includes instructions specifically for performing the following steps:

When the first matching degree or the second matching degree is less than the first threshold, or when the third matching degree is less than the second threshold, it is determined that the identity recognition fails.

In an implementation manner of the present application, the electronic device further includes a biometric identification area, the biometric identification module includes a transmitter and a biometric sensor, the transmitter is used for emitting infrared light signals, and when the biometric identification module passes the In terms of obtaining the fingerprint image and the finger vein image, the above program includes specific instructions for performing the following steps:

Controlling the transmitter to emit a first infrared light signal to illuminate the biometric identification area, and performing fingerprint identification through the biometric identification module to obtain a fingerprint image;

Controlling the transmitter to emit a second infrared light signal to illuminate the biometric identification area, and performing finger vein identification through the biometric identification module to obtain a finger vein image;

The frequencies of the first infrared light signal and the second infrared light signal are different, and the absorption rate of the finger vein blood to the first infrared light signal is lower than the absorption rate of the second infrared light signal.

In an implementation manner of the present application, the finger vein information includes third information, where the third information includes a degree of change in light and shade of blood in the finger vein and/or a degree of change in the extension of the finger vein, based on the first ratio and Before the second ratio is identified, the above program includes instructions for performing the following steps:

determining the flow velocity of blood in the vein of the finger based on the third information;

When the flow velocity of the blood in the finger vein is greater than or equal to the first velocity, it is determined that the finger associated with the fingerprint image and the finger vein image is a living finger.

In an implementation manner of the present application, before the transmitter is controlled to emit a first infrared light signal to illuminate the biometric identification area, the above-mentioned program includes an instruction for performing the following steps:

determining the first distance between the finger associated with the fingerprint image and the finger vein image and the biometric sensor and the movement speed of the finger;

A working parameter of the transmitter is determined based on the first distance and the moving speed, and the working parameter includes at least one of the following: transmit power, transmit time, and optical signal strength.

It should be noted that, for the specific implementation process of this embodiment, reference may be made to the specific implementation process described in the foregoing method embodiment, which is not described herein again.

The foregoing embodiments mainly introduce the solutions of the embodiments of the present application from the perspective of the method-side execution process. It can be understood that, in order to realize the above-mentioned functions, the electronic device includes corresponding hardware structures and/or software modules for executing each function. Those skilled in the art should easily realize that the present application can be implemented in hardware or a combination of hardware and computer software with the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

In the embodiments of the present application, the electronic device may be divided into functional units according to the method examples. For example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of software functional units. It should be noted that the division of units in the embodiments of the present application is schematic, and is only a logical function division, and other division methods may be used in actual implementation.

The following are apparatus embodiments of the present application, and the apparatus embodiments of the present application are used to execute the methods implemented by the method embodiments of the present application. Please refer to FIG. 5. FIG. 5 is a schematic structural diagram of an identification device provided by an embodiment of the present application, which is applied to an electronic device including a biometric module. The device includes:

An image acquisition unit 501, configured to perform biometric identification through the biometric identification module to obtain a fingerprint image and a finger vein image;

An analysis unit 502, configured to analyze the fingerprint image to obtain fingerprint feature information, and analyze the finger vein image to obtain finger vein feature information;

A determining unit 503, configured to determine a first quality evaluation value of the fingerprint image based on the fingerprint feature information, and determine a second quality evaluation value of the finger vein image based on the finger vein feature information; based on the first quality evaluation value of the finger vein image The quality evaluation value and the second quality evaluation value determine a first ratio and a second ratio, the first ratio is used to represent the proportion of the fingerprint feature information in the total biometric information, and the second ratio is used to characterize the proportion of the finger vein feature information in the total biometric information;

An identification unit 504, configured to perform identification based on the first ratio and the second ratio.

In an implementation manner of the present application, the fingerprint feature information includes a plurality of first information, the finger vein feature information includes a plurality of second information, each first information corresponds to a first value, and each second information Corresponding to a second value, each first information corresponding to a first weight, and each second information corresponding to a second weight, determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and based on the In terms of determining the second quality evaluation value of the finger vein image based on the finger vein feature information, the determining unit 503 is specifically configured to based on a plurality of first weights corresponding to the plurality of first information, the plurality of first information corresponding to Calculate the plurality of first values and the quality evaluation formula of the fingerprint image to obtain the first quality evaluation value of the fingerprint image; based on the plurality of second weights corresponding to the plurality of second information, the corresponding A plurality of second numerical values and the quality evaluation formula are calculated to obtain a second quality evaluation value of the finger vein image.

In an implementation manner of the present application, in terms of performing identity recognition based on the first ratio and the second ratio, the identity recognition unit 504 is specifically configured to match the fingerprint image with a predetermined fingerprint image to obtain the first a matching degree; matching the finger vein image with a predetermined finger vein image to obtain a second matching degree; when both the first matching degree and the second matching degree are greater than or equal to the first threshold, based on the The first matching degree, the first proportion, the second matching degree, the second proportion and the matching degree formula determine the third matching degree; when the third matching degree is greater than or equal to the second threshold, determine Identification succeeded.

In an implementation manner of the present application, in terms of performing identity recognition based on the first ratio and the second ratio, the identity recognition unit 504 is specifically configured to perform the identity recognition when the first matching degree or the second matching degree is less than When the first threshold, or when the third degree of matching is smaller than the second threshold, it is determined that the identity recognition fails.

In an implementation manner of the present application, the electronic device further includes a biometric identification area, the biometric identification module includes a transmitter and a biometric sensor, the transmitter is used for emitting infrared light signals, and when the biometric identification module passes the In terms of obtaining the fingerprint image and the finger vein image, the image acquisition unit 501 is specifically used to control the transmitter to emit a first infrared light signal to illuminate the biometric identification area, and to perform fingerprint identification through the biometric identification module. identification to obtain a fingerprint image; control the transmitter to emit a second infrared light signal to illuminate the biometric identification area, and perform finger vein identification through the biometric identification module to obtain a finger vein image; the first infrared light signal and The frequencies of the second infrared light signals are different, and the absorptivity of the finger vein blood to the first infrared light signal is smaller than the absorption rate of the second infrared light signal.

In an implementation manner of the present application, the finger vein information includes third information, where the third information includes a degree of change in light and shade of blood in the finger vein and/or a degree of change in the extension of the finger vein, based on the first ratio and Before the identification of the second ratio is performed, the determining unit 503 is further configured to determine the flow speed of the finger vein blood based on the third information; when the flow speed of the finger vein blood is greater than or equal to the first speed, determine the flow speed of the finger vein blood. The finger associated with the fingerprint image and the finger vein image is a living finger.

In an implementation of the present application, before controlling the transmitter to emit a first infrared light signal to illuminate the biometric identification area, the determining unit 503 is further configured to determine the finger associated with the fingerprint image and the finger vein image a first distance from the biometric sensor and a moving speed of the finger; based on the first distance and the moving speed, a working parameter of the transmitter is determined, and the working parameter includes at least one of the following: transmit power , emission time, optical signal strength.

It should be noted that the image acquisition unit 501 , the analysis unit 502 , the determination unit 503 and the identification unit 504 may be implemented by a processor.

Embodiments of the present application further provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute part or all of the steps of any method described in the above method embodiments , the above computer includes electronic equipment.

Embodiments of the present application further provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute any one of the method embodiments described above. some or all of the steps of the method. The computer program product may be a software installation package, and the computer includes an electronic device.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Because in accordance with the present application, certain steps may be performed in other orders or concurrently. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The above-mentioned integrated units, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art, or all or part of the technical solution, and the computer software product is stored in a memory, Several instructions are included to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the above-mentioned methods in the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English: Random Access Memory, referred to as: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application have been introduced in detail above, and the principles and implementations of the present application are described in this paper by using specific examples. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present application; at the same time, for Persons of ordinary skill in the art, based on the idea of the present application, will have changes in the specific implementation manner and application scope. In summary, the contents of this specification should not be construed as limitations on the present application.

Claims (10)

1. a kind of personal identification method, which is characterized in that applied to the electronic equipment including bio-identification mould group, the method packet It includes:

Bio-identification is carried out by the bio-identification mould group, obtain fingerprint image and refers to vein image；

The fingerprint image is parsed, fingerprint feature information, and the parsing finger vein image are obtained, obtains referring to vein pattern letter Breath；

The first quality evaluation value of the fingerprint image is determined based on the fingerprint feature information, and special based on the finger vein Reference breath determines the second quality evaluation value for referring to vein image；

The first ratio and the second ratio are determined based on the first quality evaluation value and the second quality evaluation value, described first Ratio is for characterizing accounting of the fingerprint feature information in total biological information, and second ratio is for characterizing institute State the accounting for referring to vein pattern information in total biological information；

Identification is carried out based on first ratio and second ratio.

2. the method according to claim 1, wherein the fingerprint feature information includes multiple first information, institute It states and refers to that vein pattern information includes multiple second information, corresponding first numerical value of each first information, each second information pair A second value is answered, corresponding first weight of each first information, each second information corresponds to second weight, described The first quality evaluation value of the fingerprint image is determined based on the fingerprint feature information, and is believed based on the finger vein pattern Breath determines the second quality evaluation value for referring to vein image, comprising:

Based on corresponding multiple first weights of the multiple first information, corresponding multiple first numerical value of the multiple first information It is calculated with quality evaluation formula, obtains the first quality evaluation value of the fingerprint image；

Based on corresponding multiple second weights of the multiple second information, the corresponding multiple second values of the multiple second information It is calculated with the quality evaluation formula, obtains the second quality evaluation value for referring to vein image.

3. method according to claim 1 or 2, which is characterized in that described to be compared based on first ratio with described second Example carries out identification, comprising:

The fingerprint image is matched with predetermined fingerprint image, to obtain the first matching degree；

The finger vein image is referred to that vein image matches with predetermined, to obtain the second matching degree；

When first matching degree and second matching degree are all larger than or are equal to first threshold, based on first matching Degree, first ratio, second matching degree, second ratio and matching degree formula determine third matching degree；

When the third matching degree is greater than or equal to second threshold, identification success is determined.

4. according to the method described in claim 3, it is characterized in that, the method also includes:

When first matching degree or second matching degree are less than the first threshold, alternatively, in the third matching degree When less than the second threshold, the identification failure is determined.

5. method according to claim 1-4, which is characterized in that the electronic equipment further includes bio-identification area Domain, the bio-identification mould group include transmitter and biometric sensor, and the transmitter is for emitting infrared signal, institute It states and bio-identification is carried out by the bio-identification mould group, obtain fingerprint image and refer to vein image, comprising:

It controls the transmitter and emits the first infrared signal irradiation bio-identification region, and pass through the bio-identification Mould group carries out fingerprint recognition, obtains fingerprint image；

It controls the transmitter and emits the second infrared signal irradiation bio-identification region, and pass through the bio-identification Mould group carries out finger hand vein recognition, obtains referring to vein image；

First infrared signal is different with the frequency of second infrared signal, and finger vena blood is red to described first The absorptivity of outer optical signal is less than the absorptivity to second infrared signal.

6. method according to claim 1-5, which is characterized in that the finger venous information includes third information, The third information includes the light and shade variation degree of finger vena blood and/or the stretch variation degree of finger vena, the base Before first ratio and second ratio carry out identification, the method also includes:

The flowing velocity of finger vena blood is determined based on the third information；

When the flowing velocity of the finger vena blood is greater than or equal to First Speed, the fingerprint image and the finger are determined The associated finger of vein image is live finger.

7. method according to claim 5 or 6, the control transmitter emits described in the irradiation of the first infrared signal Before bio-identification region, the method also includes:

Determine the fingerprint image and the first distance for referring to vein image associated finger and the biometric sensor With the movement speed of the finger；

Determine the running parameter of the transmitter based on the first distance and the movement speed, the running parameter include with Lower at least one: transmission power, launch time, light signal strength.

8. a kind of identity recognition device, which is characterized in that applied to the electronic equipment including bio-identification mould group, described device packet It includes:

Image acquisition units, for carrying out bio-identification by the bio-identification mould group, obtaining fingerprint image and referring to vein figure Picture；

Resolution unit obtains fingerprint feature information, and the parsing finger vein image, obtains for parsing the fingerprint image To finger vein pattern information；

Determination unit, for determining the first quality evaluation value of the fingerprint image, Yi Jiji based on the fingerprint feature information The second quality evaluation value for referring to vein image is determined in the finger vein pattern information；Based on the first quality evaluation value The first ratio and the second ratio are determined with the second quality evaluation value, and first ratio is for characterizing the fingerprint characteristic letter The accounting in total biological information is ceased, second ratio is for characterizing the finger vein pattern information in total biology Accounting in characteristic information；

Identity recognizing unit, for carrying out identification based on first ratio and second ratio.

9. a kind of electronic equipment, which is characterized in that including processor, memory, communication interface, and one or more programs, One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet Include the instruction for executing the step in the method according to claim 1 to 7.

10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey Sequence, the computer program are executed by processor to realize method described in claim 1 to 7 any one.