CN110248025B - Identity recognition method, device and storage medium for multi-fingerprint and palm print information - Google Patents

Abstract

The invention discloses an identity identification method based on combination of multi-finger fingerprints and palmprints, which comprises the steps of inputting finger fingerprint and palmprint information through sensors arranged on a rear shell and side edges of terminal equipment, setting a security verification database, and sequentially acquiring user line information through the sensors by a CPU (central processing unit) of the terminal equipment and storing the user line information into the database; and when identity recognition is carried out, comparing and calculating to obtain whether the fingerprint and palm print line information acquired by the sensor in real time with database data to obtain matching, if so, carrying out identity verification, and executing preset operation corresponding to the preset line information, wherein the preset operation comprises awakening the terminal and/or unlocking the terminal equipment. The invention deals with various ways of holding the mobile phone by collecting, inputting, comparing and calculating the multi-finger fingerprint and the palm print, and gives a difference of adjusting the gesture of holding the mobile phone for fingerprint identification, removing the gesture adjusting time, and the identification is more efficient and the user experience is better.

Description

Identification method, device and storage medium for multi-fingerprint and palmprint information

technical field

The invention relates to the technical field of computer security, and in particular, to an identity identification method, device and storage medium for multi-fingerprint and palmprint information.

Background technique

With the development of science and technology, terminal equipment is more and more widely used in people's daily life, and the security of the terminal equipment is more and more important. Due to the uniqueness, invariance and convenience of biometrics, the use of biometric identification technology to encrypt and control terminal equipment can effectively ensure high security. Fingerprint identification is a commonly used biometric identification technology. In related technologies, fingerprint identification can usually be performed according to the information of a fingerprint collected.

At present, there are three main ways of fingerprint recognition for smartphones on the market: 1. Put the fingerprint unlocking sensor in a small hole on the back of the phone; 2. Put the fingerprint unlocking sensor on the home button on the front of the phone; 3. Put the fingerprint unlocking sensor on the front of the phone The fingerprint unlock sensor is placed in a small area below the display on the front of the phone.

The above three methods have common shortcomings: 1. When using the fingerprint function, you need to deliberately place the finger in a specific position to identify; 2. The calculation accuracy of only single-finger fingerprint collection is low; 3. It is easy to be detected Copy; 4. For some ultra-large-screen mobile phones or users with relatively small hands, it may be necessary to adjust the position of the mobile phone if they want to place their fingers on the fingerprint sensor; 5. For full-screen mobile phones, the fingerprint recognition module under the screen the price is too high;

SUMMARY OF THE INVENTION

The present invention aims to at least solve the technical problems existing in the prior art. To this end, the present invention discloses an identity recognition method based on the combination of multi-finger fingerprints and palm prints. The information of finger prints and palm prints is recorded through sensors arranged on the back shell and side of the terminal device, and a security verification database is set up. The device CPU sequentially obtains the user's texture information through the sensor and stores it in the database; when performing identification, it compares the finger and palm texture information collected by the sensor in real time with the database data to determine whether it matches, If there is a match, identity verification is passed, and a preset operation corresponding to the preset texture information is performed, where the preset operation includes waking up the terminal and/or unlocking the terminal device.

Further, the verification database further includes: recording the sensor position data of the palmprint and fingerprint acquired by the sensors on the back shell and the side, and constructing the user's hand model, automatically generating all possible habitual unlocking hands. type.

Further, when performing identity verification, prior to comparing the finger and palmprint information with the database data to calculate whether they match, the hand model generated by the collected information is preferentially compared to the preset user hand model. If the similarity is determined to be less than the predetermined value, it is directly determined that the identity authentication fails, and the fingerprint and palm print information is not compared.

Further, whether the hand model generated by the preferentially comparing the collected information matches the preset user hand model further includes: if it is judged that the similarity is greater than a predetermined value, continuing to compare finger and palm pattern information. .

Further, the terminal device further includes a front display area, and when performing identity recognition, the coverage position information of the user's fingers and palm prints in the front display area is obtained, and the coverage position information includes the user is holding the terminal and holding the terminal backwards. The position information of the front display area is covered by the hand when the device is in use.

Further, the sensor is a capacitive texture sensor.

Further, the front display area calculates whether the effective area of all pixels in the image of the covered object is within the preset area range, and if it exceeds the preset area range, it is judged that the coverage is not palmprint or fingerprint. End devices do not perform authentication operations.

Further, the preset operation includes waking up the terminal and/or unlocking the terminal device and further includes: when matching palmprint and fingerprint information, if the matching is successful, waking up the front display area; if the matching fails. , while keeping the display screen in a dormant state, a vibration prompt will be issued to remind the user to continue to perform the authentication operation; if the number of authentication failures reaches the preset threshold, the front display area will wake up and a text message will be displayed to remind the user of the reason for the failure of fingerprint matching. , to prompt the user to adjust, and if the number of verification failures reaches twice the preset threshold, the terminal device will be locked, and all verification attempts by the user within the preset time will be prohibited.

The invention also discloses an electronic device, comprising:

processor; and,

a memory for storing executable instructions for the processor;

Wherein, the processor is configured to execute the identification method based on the combination of a multi-finger fingerprint and a palm print according to any one of the above by executing the executable instruction.

The present invention also discloses a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements any one of the above-mentioned identification methods based on the combination of multi-finger fingerprints and palmprints.

Compared with the prior art, the present invention collects, records, and compares the fingerprints and palmprints of multiple fingers, which can be any position of any finger or palm, and can be identified only when the finger touches the mobile phone. It can be recognized only when the palm is in contact with the mobile phone, and the fingers and the palm can also be recognized when they touch the mobile phone at the same time. It can deal with various ways of holding the mobile phone. Say goodbye to the fingerprint recognition and adjust the posture of holding the mobile phone, remove the time to adjust the gesture, and the recognition is more efficient. , the user experience is better.

Description of drawings

The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the figures, like reference numerals designate corresponding parts throughout the different views.

Fig. 1 is the structure diagram of the multi-finger fingerprint and palm print combined identification device of the present invention;

FIG. 2 is a flow chart of the identification method based on the combination of multi-finger fingerprints and palm prints of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clarified below with reference to the accompanying drawings in the embodiments of the present invention; a complete description will be made. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The embodiments of the present invention, and all other embodiments obtained by those of ordinary skill in the art without creative work, fall within the protection scope of the present invention.

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. . Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. It should be noted that the detailed description set forth in connection with the appended drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. Apparatus embodiments and method embodiments described herein are described in the following detailed description and illustrated in the accompanying drawings by various blocks, modules, units, components, circuits, steps, processes, algorithms, etc. (collectively referred to as "elements") are shown. These elements may be implemented using electronic hardware, computer software, or any combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and design constraints imposed on the overall system. If terms such as "first" and "second" are used in the description and claims of the present invention and the drawings in the description, such descriptions are used to distinguish different objects, rather than to describe a specific order.

It is to be understood that, when used in this specification and the appended claims, the terms "comprising" and "comprising" indicate the presence of the described features, integers, steps, operations, elements and/or components, but do not exclude one or The presence or addition of a number of other features, integers, steps, operations, elements, components, and/or sets thereof. It is also to be understood that the terminology used in this specification of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural unless the context clearly dictates otherwise. It should further be understood that, as used in this specification and the appended claims, the term "and/or" refers to and including any and all possible combinations of one or more of the associated listed items .

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

In the following description, suffixes such as 'module', 'component' or 'unit' used to represent elements are used only to facilitate the description of the present invention and have no specific meaning per se. Thus, "module", "component" or "unit" may be used interchangeably.

The terminal may be implemented in various forms. For example, the terminals described in the present invention may include mobile phones, tablet computers, notebook computers, handheld computers, personal digital assistants (Personal Digital Assistant, PDA), portable media players (Portable Media Player, PMP), navigation devices, Mobile terminals such as wearable devices, smart bracelets, and pedometers, as well as stationary terminals such as digital TVs and desktop computers.

In the following description, a mobile terminal will be used as an example, and those skilled in the art will understand that, in addition to elements specially used for mobile purposes, the configurations according to the embodiments of the present invention can also be applied to stationary type terminals.

Example 1

As shown in Figure 1, an identification method based on the combination of multi-finger fingerprints and palm prints is used to input finger print and palm print information through sensors arranged on the back shell and side of the terminal device, and set up a security verification database. The CPU obtains the user's pattern information sequentially through the sensor and stores it in the database; when performing identity recognition, it compares the finger and palm pattern information collected by the sensor in real time with the database data to calculate whether it matches. If it matches, through identity verification, a preset operation corresponding to the preset texture information is performed, and the preset operation includes waking up the terminal and/or unlocking the terminal device.

The verification database further includes: recording the sensor position data of palmprint and fingerprint acquired by the sensors on the rear case and the side, and constructing a user's hand model to automatically generate all possible habitual unlocking hand shapes. During identity verification, before comparing the finger and palmprint information with the database data to determine whether they match, the hand model generated by the collected information is first compared to the preset user's hand model. If it is judged that the similarity is less than the predetermined value, it is directly judged that the identity authentication fails, and the fingerprint and palm print information is not compared. Whether the hand model generated by preferentially comparing the collected information matches the preset user hand model further includes: if it is determined that the similarity is greater than a predetermined value, continuing to compare finger and palm pattern information.

In this embodiment, preferably, the entire lower half of the back of the mobile phone and the lower half of both sides of the mobile phone (ie, the shadow portion) are texture sensors. The sensor communicates with the CPU. When using this function, you need to complete the following steps: input the finger and palm print information, and then use various common ways of shaking the phone to input the hand in turn. The CPU sequentially stores the texture information of different ways of shaking the phone to the database through the sensor. When in use, the real-time texture information collected by the texture sensor is compared with the database data to calculate whether it matches.

In this embodiment, the user's hand shape comparison is added, and authentication attempts that are seriously inconsistent with the identity of the device director are filtered out before the texture images are matched, which greatly improves the efficiency of device identity recognition.

Embodiment 2

As shown in FIG. 2 , this embodiment further discloses an identification method based on the combination of multi-finger fingerprints and palmprints. The fingerprints and palmprint information are entered through sensors arranged on the back shell and side of the terminal device, and the security is set. Verifying the database, the terminal device CPU sequentially obtains the user's texture information through the sensor and stores it in the database; when performing identity recognition, according to the finger and palm texture information collected in real time by the sensor and the database data are compared and calculated. It is determined whether there is a match, and if there is a match, the identity verification is passed, and a preset operation corresponding to the preset texture information is performed, and the preset operation includes waking up the terminal and/or unlocking the terminal device.

Further, the verification database further includes: recording the sensor position data of the palmprint and fingerprint acquired by the sensors on the back shell and the side, and constructing the user's hand model, automatically generating all possible habitual unlocking hands. type.

Further, when performing identity verification, prior to comparing the finger and palmprint information with the database data to calculate whether they match, the hand model generated by the collected information is preferentially compared to the preset user hand model. If the similarity is determined to be less than the predetermined value, it is directly determined that the identity authentication fails, and the fingerprint and palm print information is not compared.

Further, whether the hand model generated by the preferentially comparing the collected information matches the preset user hand model further includes: if it is judged that the similarity is greater than a predetermined value, continuing to compare finger and palm pattern information. .

Further, the terminal device further includes a front display area, and when performing identity recognition, the coverage position information of the user's fingers and palm prints in the front display area is obtained, and the coverage position information includes the user is holding the terminal and holding the terminal backwards. The position information of the front display area is covered by the hand when the device is in use.

Further, the sensor is a capacitive texture sensor.

Further, the front display area calculates whether the effective area of all pixels in the image of the covered object is within the preset area range, and if it exceeds the preset area range, it is judged that the coverage is not palmprint or fingerprint. End devices do not perform authentication operations.

Further, the preset operation includes waking up the terminal and/or unlocking the terminal device and further includes: when matching palmprint and fingerprint information, if the matching is successful, waking up the front display area; if the matching fails. , while keeping the display screen in a dormant state, a vibration prompt will be issued to remind the user to continue to perform the authentication operation; if the number of authentication failures reaches the preset threshold, the front display area will wake up and a text message will be displayed to remind the user of the reason for the failure of fingerprint matching. , to prompt the user to adjust, and if the number of verification failures reaches twice the preset threshold, the terminal device will be locked, and all verification attempts by the user within the preset time will be prohibited.

The invention also discloses an electronic device, comprising:

processor; and,

a memory for storing executable instructions for the processor;

Wherein, the processor is configured to execute the identification method based on the combination of a multi-finger fingerprint and a palm print according to any one of the above by executing the executable instruction.

The present invention also discloses a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements any one of the above-mentioned identification methods based on the combination of multi-finger fingerprints and palmprints.

In the solution disclosed in this embodiment, when using mobile phone pattern recognition, it can be recognized without deliberately placing the finger in a specific position; the acquisition and calculation accuracy of multiple fingers + palm pattern is higher; because the gestures of holding the mobile phone have different patterns Also the possibility of being copied is almost zero.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture, or device that includes the element.

It will be appreciated by those skilled in the art that the embodiments of the present application may be provided as a method, a system or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

While the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the invention. It is therefore intended that the foregoing detailed description be regarded as illustrative and not restrictive, and that it is to be understood that the following claims, including all equivalents, are intended to define the spirit and scope of the present invention. The above embodiments should be understood as only for illustrating the present invention and not for limiting the protection scope of the present invention. After reading the contents of the description of the present invention, the skilled person can make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims (6)

1. An identity recognition method based on combination of multi-finger fingerprint and palm print is characterized in that finger fingerprint and palm print information is input through sensors arranged on a rear shell and side edges of terminal equipment, a security verification database is arranged, and a CPU (central processing unit) of the terminal equipment sequentially acquires user line information through the sensors and stores the user line information into the database; when identity recognition is carried out, comparing and calculating to obtain whether the fingerprint and palm print line information acquired by the sensor in real time with database data to obtain matching, if so, carrying out identity verification and executing preset operation corresponding to preset line information, wherein the preset operation comprises awakening the terminal and/or unlocking the terminal equipment;

the terminal equipment further comprises a front display area, wherein the covering position information of fingers and palmprints of a user in the front display area is obtained during identity recognition, the covering position information comprises the position information of hands of the user covering the front display area when the user holds the terminal equipment positively and reversely, and the sensor is a capacitance line sensor;

the front display area calculates whether the effective area of all pixel points in the covered object image is within a preset area range, if the effective area exceeds the preset area range, the coverage is judged not to be a palm print or a fingerprint, and the terminal equipment does not carry out identity verification operation;

the preset operation comprises waking up the terminal and/or unlocking the terminal device, and further comprises: when matching the palm print and the fingerprint line information, if the matching is successful, awakening the front display area; if the matching fails, a vibration prompt is sent out while the display screen is kept in a dormant state so as to remind the user to continue to execute the authentication operation; and if the verification failure times reach twice of the preset threshold, locking operation is executed on the terminal equipment, and all verification attempts of the user within the preset time are forbidden.

2. The method of claim 1, wherein the verification database further comprises: and recording sensor position data of palmprints and fingerprints acquired by the sensors on the rear shell and the side edges, constructing a hand model of the user, and automatically generating all possible habitual unlocking hand types.

3. The method as claimed in claim 2, wherein during the authentication, before the comparison between the finger and palm print information and the database data is performed to determine whether the hand model generated by the collected information is matched with the preset hand model of the user, the method determines that the authentication is failed directly if the similarity is smaller than the predetermined value, and the method does not perform the comparison between the finger and palm print information.

4. The method of claim 3, wherein the preferentially comparing the generated hand model with the predetermined hand model further comprises: if the similarity is judged to be larger than the preset value, the comparison of the finger and palm print line information is continued.

5. An electronic device, comprising:

a processor; and the number of the first and second groups,

a memory for storing executable instructions of the processor;

wherein the processor is configured to execute the multi-finger fingerprint and palm print based identity recognition method of any one of claims 1-4 via execution of the executable instructions.

6. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method for multi-finger fingerprint and palm print based identification according to any one of claims 1 to 4.

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