CN107194326A - Fingerprint collection method and related products - Google Patents

Abstract

The disclosure provides a fingerprint acquisition method and a related product, wherein the related product comprises a mobile terminal, the mobile terminal comprises an application processor AP, a touch display screen and a fingerprint identification device, the touch display screen determines N areas corresponding to touch operation when the touch display screen detects the touch operation aiming at the touch display screen, and N is an integer greater than 1; the fingerprint identification device controls the N fingerprint acquisition modules corresponding to the N areas to acquire fingerprint images, and the N areas correspond to the N fingerprint acquisition modules one by one; and the AP generates a target fingerprint image according to the N fingerprint images. By adopting the fingerprint identification device, after the touch operation is detected, a plurality of areas corresponding to the touch operation are determined, and the fingerprint identification device corresponding to the plurality of areas is controlled to realize fingerprint acquisition, so that the fingerprint acquisition efficiency can be improved.

Description

Fingerprint collection method and related products

technical field

The invention relates to the technical field of terminal equipment, in particular to a fingerprint collection method and related products.

Background technique

In the prior art, more and more mobile terminals (such as mobile phones, tablet computers, etc.) are equipped with fingerprint recognition functions. Fingerprint recognition can not only be used to unlock and wake up mobile terminals, but also can be applied to mobile payment, account login, etc. Because of its convenience and high safety, it is widely used.

With the evolution of technology, full-screen fingerprints are more and more favored by major terminal equipment manufacturers. For full-screen fingerprints, although the entire touch screen can be used to collect fingerprint images, the efficiency of fingerprint collection is low. How to improve fingerprints? The problem of collection efficiency needs to be solved urgently.

Contents of the invention

Embodiments of the present invention provide a fingerprint collection method and related products, which can improve fingerprint collection efficiency.

In the first aspect, an embodiment of the present invention provides a mobile terminal, including an application processor AP, a touch display screen, and a fingerprint identification device,

The touch display screen is used to determine N areas corresponding to the touch operation when detecting a touch operation on the touch display screen, and notify the fingerprint identification device to perform fingerprint collection, and the N is greater than an integer of 1;

The fingerprint identification device is used to control the N fingerprint collection modules corresponding to the N areas to perform fingerprint collection to obtain the N fingerprint images, and the N areas are the same as the N fingerprint collection modules One-to-one correspondence, and sending the N fingerprint images to the AP;

The AP is configured to generate a target fingerprint image according to the N fingerprint images.

In the second aspect, an embodiment of the present invention provides a fingerprint collection method, which is applied to a mobile terminal including an application processor AP, a touch display screen, and a fingerprint identification device, and the method includes:

The mobile terminal controls the touch screen to determine N areas corresponding to the touch operation when detecting a touch operation on the touch screen, and notifies the fingerprint recognition device to perform fingerprint collection, and the N is an integer greater than 1;

The mobile terminal controls the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition through the fingerprint identification device, and obtains the N fingerprint images, and the N areas and the N fingerprint acquisition modules The modules are in one-to-one correspondence, and the N fingerprint images are sent to the AP;

The mobile terminal generates a target fingerprint image according to the N fingerprint images through the AP.

In a third aspect, an embodiment of the present invention provides a mobile terminal, including an application processor AP, a touch display screen, a fingerprint identification device, and a memory; and one or more programs;

The one or more programs are stored in the memory and are configured to be executed by the AP, the programs including instructions for performing the following steps:

Controlling the touch display screen to determine N areas corresponding to the touch operation when detecting a touch operation on the touch display screen, and notify the fingerprint recognition device to collect fingerprints, where N is greater than 1 integer;

The N fingerprint collection modules corresponding to the N areas are controlled by the fingerprint identification device to perform fingerprint collection, and the N fingerprint images are obtained, and the N areas correspond to the N fingerprint collection modules one by one. , and sending the N fingerprint images to the AP;

A target fingerprint image is generated by the AP according to the N fingerprint images.

In a fourth aspect, an embodiment of the present invention provides a fingerprint collection device, which has the function of realizing the behavior of the mobile terminal in the design of the above method. The functions described above may be implemented by hardware, or may be implemented by executing corresponding software on the hardware. The hardware or software includes one or more modules corresponding to the above functions.

In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables the computer to execute Example of some or all of the steps described in the second aspect.

In a sixth aspect, an embodiment of the present invention 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 enable the computer to execute the Part or all of the steps described in the second aspect of the invention embodiment. The computer program product may be a software installation package.

Implementing the embodiment of the present invention has the following beneficial effects:

It can be seen that through the embodiment of the present invention, when the touch screen of the mobile terminal detects a touch operation on the touch screen, it determines N areas corresponding to the touch operation, and notifies the fingerprint identification device to collect fingerprints, where N is greater than An integer of 1, the fingerprint identification device controls N fingerprint acquisition modules corresponding to N areas to perform fingerprint acquisition, obtains N fingerprint images, and N areas correspond to N fingerprint acquisition modules one by one, and sends N fingerprint images to AP, AP generates target fingerprint images according to N fingerprint images. In this way, after a touch operation is detected, a plurality of areas corresponding to the touch operation can be determined, and fingerprint recognition devices corresponding to the plurality of areas can be controlled to realize fingerprint collection, thus improving the efficiency of fingerprint collection.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

FIG. 1 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present invention;

Fig. 1a is a schematic structural diagram of a fingerprint identification device for a mobile terminal provided by an embodiment of the present invention;

Fig. 1b is a schematic diagram illustrating the fingerprint collection of another mobile terminal disclosed in the embodiment of the present invention;

2 is a schematic flow diagram of a fingerprint collection method disclosed in an embodiment of the present invention;

3 is a schematic flow diagram of a fingerprint collection method disclosed in an embodiment of the present invention;

FIG. 4 is a schematic flow diagram of another fingerprint collection method disclosed in an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a fingerprint collection device disclosed in an embodiment of the present invention;

Fig. 6 is a schematic structural diagram of another mobile terminal disclosed in an embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

The terms "first", "second", "third" and "fourth" in the description and claims of the present invention and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a 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 further includes For other steps or units inherent in these processes, methods, products or apparatuses.

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 invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

The mobile terminal described in the embodiment of the present invention may include a smart phone (such as an Android phone, an iOS phone, a Windows Phone, etc.), a tablet computer, a handheld computer, a notebook computer, a mobile Internet device (MID, MobileInternet Devices) or a wearable device, etc. , the above-mentioned mobile terminal is only an example, not exhaustive, including but not limited to the above-mentioned mobile terminal.

It should be noted that, in the embodiment of the present invention, not only the touch sensor array is integrated under the touch display screen of the mobile terminal, but also a fingerprint identification device is integrated. The fingerprint identification device can be composed of a fingerprint collection array, and the fingerprint collection array can form multiple Each area can be used to collect fingerprint images independently. In this embodiment, the size of each area can be the same or different. For example, one fingerprint can cover multiple areas of the fingerprint identification device. Among them, the touch sensor array is used to collect touch parameters, and the touch parameters may include but not limited to: the pressing force of pressing the touch display, the pressing area of pressing the touch display, the pressing time of pressing the touch display, Generate swipe trails when swiping on the touch screen, etc. The touch parameter set can include at least one touch parameter. The fingerprint identification device is used to collect fingerprint images. When the user performs a touch operation on the touch screen, the fingerprint identification device collects at least one fingerprint image.

In the specific implementation, the following situations will occur. During the user's touch operation, the surface of the touch screen at different positions will be different. For example, there is oil stains in some places, or cracks appear. The images are different. Of course, when the user performs a touch operation on the touch screen, the contact surface between the finger and the touch screen is also changing, or the contact force between the finger and the touch screen at different positions will be different. , therefore, fingerprint images collected at different locations or at different times are different.

Please refer to FIG. 1. FIG. 1 is a schematic structural diagram of a mobile terminal 100 provided by an embodiment of the present invention. The mobile terminal 100 includes: an application processor AP110, a touch screen 120, and a fingerprint identification device 130. The fingerprint identification The device 130 is combined with the touch screen 120, and the fingerprint recognition device 130 is integrated into the touch screen 120 to form a full-screen fingerprint, wherein the AP 110 is connected to the touch screen 120 and the fingerprint recognition device 130 through a bus 150 ,

The touch display screen 120 is configured to determine N areas corresponding to the touch operation when a touch operation on the touch display screen 120 is detected, and notify the fingerprint identification device 130 to perform fingerprint collection, the N is an integer greater than 1;

The fingerprint identification device 130 is configured to control the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition to obtain the N fingerprint images, and the N areas and the N fingerprint acquisition modules One-to-one correspondence, and sending the N fingerprint images to the AP110;

The AP110 is configured to generate a target fingerprint image according to the N fingerprint images.

For example, as shown in Figure 1a, the fingerprint identification device 130 in Figure 1a is a fingerprint collection array, and the fingerprint collection array corresponds to a plurality of independent areas, and each independent area corresponds to a fingerprint collection module, which can be used to collect fingerprint images, as shown in FIG. 1b, Figure a shows the touch operation on the touch screen 120, and Figure b shows the fingerprint image corresponding to the touch operation. The touch operation involves 6 independent areas, and further, 6 fingerprint acquisition modules corresponding to it are used Collect fingerprints, get 6 fingerprint images, and stitch them together to get the final fingerprint image.

Further, the AP110 matches the target fingerprint image with a preset fingerprint template, and performs an unlocking operation when the matching is successful.

Optionally, performing the above-mentioned unlocking operation may include the following situations: for example, when the mobile terminal is in a black screen state, performing an unlocking operation to enter the desktop of the mobile terminal; and for example, performing an unlocking operation when the mobile terminal is in a bright screen state, to enter the desktop of the mobile terminal; another example is to perform an unlocking operation on an application, thereby entering a homepage or a designated page of the application, or realizing payment.

It can be seen that through the embodiment of the present invention, when the touch screen of the mobile terminal detects a touch operation on the touch screen, it determines N areas corresponding to the touch operation, and notifies the fingerprint identification device to collect fingerprints, where N is greater than An integer of 1, the fingerprint identification device controls N fingerprint acquisition modules corresponding to N areas to perform fingerprint acquisition, obtains N fingerprint images, and N areas correspond to N fingerprint acquisition modules one by one, and sends N fingerprint images to AP, AP generates target fingerprint images according to N fingerprint images. In this way, after a touch operation is detected, a plurality of areas corresponding to the touch operation can be determined, and fingerprint recognition devices corresponding to the plurality of areas can be controlled to realize fingerprint collection, thus improving the efficiency of fingerprint collection.

In a possible example, the specific implementation manner for the touch display screen 120 to determine the N areas corresponding to the touch operation is as follows:

The touch display screen 120 determines the touch area of the touch operation, determines that the touch area covers the area of the fingerprint identification device 130, and obtains the N areas.

Wherein, when a user performs a touch operation on the touch screen 120 , the touch area corresponding to the touch operation can be determined, and the touch area can correspond to the area of the fingerprint identification device 130 to obtain N areas.

In a possible example, the specific implementation manner for the fingerprint identification device 130 to control the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition is as follows:

The fingerprint identification device 130 wakes up the N fingerprint acquisition modules corresponding to the N areas, and controls the M-N fingerprint acquisition modules to be in a dormant state, the fingerprint identification device includes the M fingerprint acquisition modules, and the M is an integer greater than the N; controlling the N fingerprint collection modules to perform fingerprint collection.

Wherein, the fingerprint identification device 130 is composed of a fingerprint collection array, forming a plurality of fingerprint collection areas, each fingerprint collection area can correspond to a fingerprint collection module, and each fingerprint collection module can be used independently for fingerprint collection. In the specific collection process, the fingerprint recognition device 130 can only wake up the N fingerprint collection modules corresponding to the above N areas, without waking up other fingerprint collection modules in the fingerprint recognition device 130, assuming that the fingerprint recognition device 130 includes M fingerprint collection modules , so the M-N fingerprint collection modules other than the above N fingerprint collection modules can be kept in a dormant state, which not only reduces the power consumption of the fingerprint identification device 130, but also improves the performance of the N fingerprint collection modules, and then controls the above N fingerprint collection modules. A fingerprint collection module is used for fingerprint collection.

In a possible example, the specific implementation manner of generating the target fingerprint image by the AP110 according to the N fingerprint images is as follows:

The AP110 performs image quality evaluation on the N fingerprint images to obtain the N image quality evaluation values, and selects an image quality evaluation value greater than a first preset threshold from the N image quality evaluation values to obtain the The K image quality evaluation values, the K is an integer greater than 1 and less than the N, and the K fingerprint images corresponding to the K image quality evaluation values are subjected to an image splicing operation to obtain the target fingerprint image .

Wherein, the above-mentioned first preset threshold may be set by the user or defaulted by the system. Fingerprint identification device 130 controls N fingerprint collection modules corresponding to N regions to perform fingerprint collection to obtain N fingerprint images. Of course, due to the stability of fingerprint collection modules in N regions, the corresponding touch display screen in each region Therefore, the image quality of the N fingerprint images will also be different. Therefore, the image quality evaluation can be performed on each of the above N fingerprint images to obtain N image quality evaluation values, which can be obtained from the N image quality Select the image quality evaluation value whose image quality evaluation value is greater than the first preset threshold value in the evaluation value to obtain K image quality evaluation values, K is an integer greater than 1 and less than N, and then, the K image quality evaluation values can be corresponding to The fingerprint image of the target fingerprint image is obtained by image stitching.

Wherein, the AP110 evaluates the image quality of the N fingerprint images in the following manner: using at least one image quality evaluation index to evaluate the image quality of the N fingerprint images respectively to obtain an image quality evaluation value, wherein, the image quality Evaluation indicators may include but not limited to: average gray level, mean square error, entropy, edge preservation, signal-to-noise ratio, and so on. It can be defined that the larger the obtained image quality evaluation value is, the better the image quality is.

It should be noted that there are certain limitations when using a single evaluation index to evaluate image quality. Therefore, multiple image quality evaluation indexes can be used to evaluate image quality. Of course, when evaluating image quality, it is not the The more quality evaluation indicators, the better, because the more image quality evaluation indicators, the higher the computational complexity of the image quality evaluation process, and the better the image quality evaluation effect. Therefore, in the case of higher requirements for image quality evaluation , 2 to 10 image quality evaluation indicators can be used to evaluate the image quality.

Optionally, when the accuracy of image quality evaluation is not high, an image quality evaluation index can be used for evaluation. For example, the image quality evaluation value of the image to be processed is calculated by entropy. It can be considered that the greater the entropy, the better the image quality. Well, conversely, the smaller the entropy, the worse the image quality. The details may be determined according to user needs or actual conditions.

Optionally, in the case of high requirements for image quality evaluation accuracy, multiple image quality evaluation indexes can be used to evaluate the fingerprint image, and when multiple image quality evaluation indexes are used to evaluate the image quality of the fingerprint image, the The weight of each image quality evaluation index in the multiple image quality evaluation indexes can obtain multiple image quality evaluation values, and the final image quality evaluation value can be obtained according to the multiple image quality evaluation values and their corresponding weights, for example, three The two image quality evaluation indexes are: A index, B index and C index, the weight of A is a1, the weight of B is a2, and the weight of C is a3. When A, B and C are used to evaluate the image quality of an image , the image quality evaluation value corresponding to A is b1, the image quality evaluation value corresponding to B is b2, and the image quality evaluation value corresponding to C is b3, then the final image quality evaluation value=a1b1+a2b2+a3b3. Generally, the larger the image quality evaluation value, the better the image quality.

In a possible example, the specific implementation manner of the AP110 performing an image splicing operation on the K fingerprint images corresponding to the K image quality evaluation values is as follows:

The AP110 maps the K fingerprint images corresponding to the K image quality evaluation values into a coordinate system, performs contour extraction on the K fingerprint images corresponding to the K image quality evaluation values, and obtains the The K contour images are based on splicing the K contour images to obtain a target contour image, and the target contour image is covered on the periphery of the K fingerprint images.

Wherein, the AP110 maps K fingerprint images corresponding to the K image quality evaluation values into the coordinate system, and further extracts contours from the K fingerprint images corresponding to the K image quality evaluation values to obtain K contour images. The K contour images are spliced to obtain a target contour image, and the target contour image is overlaid on the periphery of the K fingerprint images to obtain a target fingerprint image.

In a possible example, the specific implementation manner of generating the target fingerprint image by the AP110 according to the N fingerprint images is as follows:

The AP110 determines the sharpness of each fingerprint image in the N fingerprint images, obtains the N sharpness values, and selects a sharpness whose sharpness value is less than a second preset threshold from the N sharpness values value, to obtain X sharpness values, where X is an integer greater than 1 and smaller than N, and the fingerprint images corresponding to the X sharpness values are subjected to image enhancement processing to obtain the enhanced X fingerprint images , generating the target fingerprint image according to the enhanced X fingerprint images and the N-X fingerprint images not subjected to image enhancement processing.

Wherein, the above-mentioned second preset threshold may be set by the user or defaulted by the system. AP110 can separately calculate the sharpness of each fingerprint image in N fingerprint images to obtain N sharpness values, and then select a sharpness value smaller than the second preset threshold from the N sharpness values to obtain X The sharpness value, and then image enhancement processing is performed on the X sharpness values, and the image enhancement processing may include at least one of the following manners: histogram equalization, wavelet transformation, grayscale stretching, and the like. Further, a target fingerprint image is generated according to the enhanced X fingerprint images and the N-X fingerprint images without image enhancement processing. In this way, image enhancement processing can be performed on fingerprint images with poor clarity, the quality of the synthesized target fingerprint image can be improved, and the fingerprint unlocking efficiency can be effectively improved.

In a possible example, the AP110 generates the target fingerprint image according to the enhanced X fingerprint images and the N-X fingerprint images without image enhancement processing as follows:

The AP110 performs feature extraction on the enhanced X fingerprint images to obtain the X set of feature parameters, performs feature extraction on the N-X fingerprint images that have not been subjected to image enhancement processing, and obtains the N-X set of feature parameters, and the The X group of characteristic parameters and the N-X group of characteristic parameters are used as the target fingerprint image.

Wherein, the above-mentioned feature extraction may include feature point extraction or feature contour extraction. In this embodiment, the characteristic parameter parameters of the fingerprint image can be used as the fingerprint image, which can simplify the fingerprint image on the one hand, and improve the fingerprint unlocking efficiency on the other hand, because the fingerprint image recognition process is also the difference between the fingerprint image and the preset fingerprint template. Perform feature point matching or feature contour matching.

In a possible example, the touch screen 120 includes a touch screen and a display screen, the touch screen and the display screen are stacked, and the display screen is disposed on a lower side of the touch screen. The fingerprint identification device 130 includes a fingerprint sensor, wherein the fingerprint sensor includes at least one of the following: an optical fingerprint sensor, an inductive fingerprint sensor, a capacitive fingerprint sensor, and an ultrasonic fingerprint sensor.

When the fingerprint sensor is a capacitive fingerprint sensor and the touch screen in the touch screen is capacitive, the specific form of combining the fingerprint identification device with the touch screen can be, for example: the fingerprint The identification device is integrated into the touch screen of the touch screen, specifically, the first sensing capacitor array of the fingerprint identification device can be embedded in the second sensing capacitor array of the touch screen.

When the fingerprint sensor is an optical fingerprint sensor, the specific form of combining the fingerprint identification device with the touch display screen may be, for example: the fingerprint identification device is integrated into the touch display screen, and the mobile terminal The fingerprint identification device is based on the principle of pinhole imaging to collect user fingerprint data. The spacer layer between the touch screen and the display screen of the touch display screen is provided with a first pinhole array layer, and the driving circuit layer of the display screen A uniformly distributed small hole array is formed during printing, and the uniformly distributed small hole array on the driving circuit layer is used as the second small hole array layer, and the light-transmitting holes in the first small hole array layer and the second small hole The light-transmitting holes in the hole array layer correspond one-to-one, and the optical fingerprint sensor includes a charge-coupled device CCD array layer, and the CCD array layer is used to detect light passing through the first small hole array layer and the second small hole array layer. of light.

When the fingerprint sensor is an ultrasonic fingerprint sensor, the specific form of combining the fingerprint recognition device with the touch display screen may be, for example: a vacuum detection chamber is provided on the inner surface of the touch display screen, and the There are multiple ultrasonic sensors evenly arranged in the vacuum detection chamber. The ultrasonic sensor includes an ultrasonic signal transmitter and an ultrasonic signal receiver. echo signal. The working principle of the ultrasonic sensor is to use the ability of ultrasonic waves to penetrate materials, and produce echoes of different sizes with different materials (when ultrasonic waves reach the surface of different materials, they are absorbed, penetrated and reflected in different degrees), and can distinguish user fingerprints The location of the ridges and valleys of the surface.

The display screen may be a thin film transistor liquid crystal display (Thin Film Transistor-Liquid Crystal Display, TFT-LCD), a light emitting diode (Light Emitting Diode, LED) display screen, an organic light emitting diode (Organic Light-Emitting Diode, OLED) display screen, etc. .

Consistent with the embodiment shown in FIG. 2 above, please refer to FIG. 2. FIG. 2 is a schematic flowchart of a fingerprint collection method provided by an embodiment of the present invention, including an application processor AP, a touch display screen, and a fingerprint identification device. The fingerprint identification device is combined with the touch screen. As shown in the figure, the fingerprint collection method includes:

201. The mobile terminal controls the touch display screen to determine N areas corresponding to the touch operation when a touch operation on the touch display screen is detected, and notify the fingerprint identification device to perform fingerprint collection. Said N is an integer greater than 1.

202. The mobile terminal controls the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition through the fingerprint identification device, and obtains the N fingerprint images, and the N areas and the N areas The fingerprint collection modules correspond one by one, and send the N fingerprint images to the AP.

203. The mobile terminal generates a target fingerprint image according to the N fingerprint images through the AP.

In a possible example, the mobile terminal controls the touch display to determine N areas corresponding to the touch operation, including:

The mobile terminal controls the touch display screen to determine the touch area of the touch operation; it is determined that the touch area covers the area of the fingerprint identification device to obtain the N areas.

In a possible example, the mobile terminal controls the fingerprint identification device to control the N fingerprint collection modules corresponding to the N areas to perform fingerprint collection, including:

The mobile terminal controls the fingerprint identification device to wake up the N fingerprint acquisition modules corresponding to the N areas, and controls the M-N fingerprint acquisition modules to be in a dormant state, and the fingerprint identification device includes the M fingerprint acquisition modules , the M is an integer greater than the N; controlling the N fingerprint collection modules to perform fingerprint collection.

In a possible example, the mobile terminal controls the AP to generate a target fingerprint image according to the N fingerprint images, including:

The mobile terminal controls the AP to perform image quality evaluation on the N fingerprint images to obtain the N image quality evaluation values, and selects an image quality greater than a first preset threshold from the N image quality evaluation values evaluation value, to obtain the K image quality evaluation values, the K is an integer greater than 1 and less than the N, and the K fingerprint images corresponding to the K image quality evaluation values are subjected to an image splicing operation to obtain The target fingerprint image.

In a possible example, the AP performs an image splicing operation on the K fingerprint images corresponding to the K image quality evaluation values as follows:

The AP maps the K fingerprint images corresponding to the K image quality evaluation values into a coordinate system, performs contour extraction on the K fingerprint images corresponding to the K image quality evaluation values, and obtains the The K contour images are based on splicing the K contour images to obtain a target contour image, and the target contour image is covered on the periphery of the K fingerprint images.

In a possible example, the mobile terminal controls the AP to generate a target fingerprint image according to the N fingerprint images, including:

The mobile terminal controls the AP to determine the sharpness of each fingerprint image in the N fingerprint images, obtains the N sharpness values, and selects a sharpness value smaller than a second predetermined value from the N sharpness values. Set the sharpness value of the threshold value to obtain X sharpness values, and the X is an integer greater than 1 and less than the N, and perform image enhancement processing on the fingerprint images corresponding to the X sharpness values to obtain all enhanced the X fingerprint images, and generate the target fingerprint image according to the enhanced X fingerprint images and the N-X fingerprint images without image enhancement processing.

In a possible example, the mobile terminal controls the AP to generate the target fingerprint image according to the enhanced X fingerprint images and the N-X fingerprint images without image enhancement processing, including:

The mobile terminal controls the AP to perform feature extraction on the enhanced X fingerprint images to obtain the X group of feature parameters, and perform feature extraction on the N-X fingerprint images that have not been subjected to image enhancement processing to obtain the N-X group Feature parameters, using the X group of feature parameters and the N-X group of feature parameters as the target fingerprint image.

It can be seen that through the embodiment of the present invention, when the touch screen of the mobile terminal detects a touch operation on the touch screen, it determines N areas corresponding to the touch operation, and notifies the fingerprint identification device to collect fingerprints, where N is greater than An integer of 1, the fingerprint identification device controls N fingerprint acquisition modules corresponding to N areas to perform fingerprint acquisition, obtains N fingerprint images, and N areas correspond to N fingerprint acquisition modules one by one, and sends N fingerprint images to AP, AP generates target fingerprint images according to N fingerprint images. In this way, after a touch operation is detected, a plurality of areas corresponding to the touch operation can be determined, and fingerprint recognition devices corresponding to the plurality of areas can be controlled to realize fingerprint collection, thus improving the efficiency of fingerprint collection.

FIG. 3 illustrates the main processing procedures involved in the embodiment of the present invention from the internal processing flow of the mobile terminal 100 . in:

301. When the touch display 120 detects a touch operation on the touch display 120, determine N areas corresponding to the touch operation, and notify the fingerprint identification device 130 to perform fingerprint collection, where N is an integer greater than 1;

302. The fingerprint recognition device 130 controls the N fingerprint collection modules corresponding to the N areas to perform fingerprint collection, obtains N fingerprint images, and the N areas correspond to the N fingerprint collection modules one by one, and sends the N fingerprint images to the AP110 ;

303. The AP 110 generates a target fingerprint image according to the N fingerprint images.

Please refer to Figure 4, Figure 4 is a mobile terminal provided by an embodiment of the present invention, including: an application processor AP, a touch display screen, a fingerprint identification device and a memory; and one or more programs, wherein the one or A plurality of programs are stored in the memory and are configured to be executed by the AP, the programs including instructions for performing the following steps:

Controlling the touch display screen to determine N areas corresponding to the touch operation when detecting a touch operation on the touch display screen, and notify the fingerprint recognition device to collect fingerprints, where N is greater than 1 integer;

The N fingerprint collection modules corresponding to the N areas are controlled by the fingerprint identification device to perform fingerprint collection, and the N fingerprint images are obtained, and the N areas correspond to the N fingerprint collection modules one by one. , and sending the N fingerprint images to the AP;

A target fingerprint image is generated by the AP according to the N fingerprint images.

In a possible example, in terms of controlling the touch display screen to determine the N areas corresponding to the touch operation, the instructions in the program are specifically used to perform the following steps:

controlling the touch display screen to determine a touch area of the touch operation; determining that the touch area covers an area of the fingerprint identification device to obtain the N areas.

In a possible example, in terms of controlling the fingerprint identification device to control the N fingerprint collection modules corresponding to the N areas to perform fingerprint collection, the instructions in the program are specifically used to perform the following steps:

Controlling the fingerprint identification device to wake up the N fingerprint acquisition modules corresponding to the N areas, and controlling the M-N fingerprint acquisition modules to be in a dormant state, the fingerprint identification device includes the M fingerprint acquisition modules, and the M is an integer greater than the N; controlling the N fingerprint collection modules to perform fingerprint collection.

In a possible example, in terms of controlling the AP to generate a target fingerprint image according to the N fingerprint images, the instructions in the program are specifically used to perform the following steps:

Controlling the AP to perform image quality evaluation on the N fingerprint images to obtain the N image quality evaluation values, and selecting an image quality evaluation value greater than a first preset threshold from the N image quality evaluation values to obtain The K image quality evaluation values, the K is an integer greater than 1 and less than the N, and the K fingerprint images corresponding to the K image quality evaluation values are subjected to an image splicing operation to obtain the target fingerprint image.

In a possible example, in terms of controlling the AP to perform an image stitching operation on the K fingerprint images corresponding to the K image quality evaluation values, the instructions in the program are specifically used to perform the following steps:

Controlling the AP to map the K fingerprint images corresponding to the K image quality evaluation values into a coordinate system, and performing contour extraction on the K fingerprint images corresponding to the K image quality evaluation values, to obtain the The K contour images are based on splicing the K contour images to obtain a target contour image, and the target contour image is covered on the periphery of the K fingerprint images.

In a possible example, in terms of controlling the AP to generate a target fingerprint image according to the N fingerprint images, the instructions in the program are specifically used to perform the following steps:

Controlling the AP to determine the sharpness of each fingerprint image in the N fingerprint images to obtain the N sharpness values, and selecting a sharpness value less than a second preset threshold from the N sharpness values degree value to obtain X sharpness values, where X is an integer greater than 1 and smaller than N, and image enhancement processing is performed on the fingerprint images corresponding to the X sharpness values to obtain the enhanced X fingerprints image, generating the target fingerprint image according to the enhanced X fingerprint images and the N-X fingerprint images without image enhancement processing.

In a possible example, in terms of controlling the AP to generate the target fingerprint image based on the enhanced X fingerprint images and N-X fingerprint images that have not undergone image enhancement processing, the instructions in the program specifically Used to perform the following steps:

Controlling the AP to perform feature extraction on the enhanced X fingerprint images to obtain the X set of feature parameters, performing feature extraction on the N-X fingerprint images that have not been subjected to image enhancement processing, to obtain the N-X set of feature parameters, and The X group of characteristic parameters and the N-X group of characteristic parameters are used as the target fingerprint image.

Please refer to FIG. 5 . FIG. 5 is a schematic structural diagram of a fingerprint collection device 500 provided in this embodiment. The fingerprint collection device 500 is applied to a mobile terminal, and the mobile terminal includes an application processor AP, a touch display screen, and a fingerprint recognition device, the fingerprint recognition device is combined with the touch display screen, and the fingerprint collection device includes a determination Unit 510, collection unit 520 and generation unit 530, wherein,

The determining unit 510 is configured to control the touch display screen to determine N areas corresponding to the touch operation when a touch operation on the touch display screen is detected, and notify the fingerprint identification device to perform fingerprint collection , the N is an integer greater than 1;

The acquisition unit 520 is configured to control the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition through the fingerprint identification device to obtain the N fingerprint images, and the N areas and the N areas The N fingerprint acquisition modules are in one-to-one correspondence, and the N fingerprint images are sent to the AP;

The generating unit 530 is configured to generate a target fingerprint image according to the N fingerprint images through the AP.

It can be seen that, through the embodiment of the present invention, the determining unit 510 of the unlocking control device 500 controls the touch display screen to determine the N areas corresponding to the touch operation when a touch operation on the touch display screen is detected, and notify the fingerprint recognition device to proceed. Fingerprint collection, N is an integer greater than 1, the collection unit 520 controls the fingerprint identification device to control N fingerprint collection modules corresponding to the N areas to perform fingerprint collection, and obtains N fingerprint images, and the N areas and the N fingerprint collection modules are one by one Correspondingly, the N fingerprint images are sent to the AP, and the generation unit 530 controls the AP to generate a target fingerprint image according to the N fingerprint images. In this way, after a touch operation is detected, a plurality of areas corresponding to the touch operation can be determined, and fingerprint recognition devices corresponding to the plurality of areas can be controlled to realize fingerprint collection, thus improving the efficiency of fingerprint collection.

It can be understood that the functions of each program module of the fingerprint collection device 500 in this embodiment can be specifically implemented according to the methods in the above-mentioned method embodiments, and the specific implementation process can refer to the relevant descriptions of the above-mentioned method embodiments, and will not be repeated here. .

The embodiment of the present invention also provides another mobile terminal, as shown in Figure 6, for the convenience of description, only the parts related to the embodiment of the present invention are shown, and for specific technical details not disclosed, please refer to the method of the embodiment of the present invention part. The mobile terminal can be any terminal device including a mobile phone, tablet computer, PDA (Personal Digital Assistant, personal digital assistant), POS (Point of Sales, sales terminal), vehicle-mounted computer, etc. Taking the mobile terminal as a mobile phone as an example:

FIG. 6 shows a block diagram of a partial structure of a mobile phone related to the mobile terminal provided by the embodiment of the present invention. Referring to FIG. 6, the mobile phone includes: a radio frequency (Radio Frequency, RF) circuit 910, a memory 920, an input unit 930, a sensor 950, an audio circuit 960, a wireless fidelity (Wireless Fidelity, WiFi) module 970, an application processor AP980, and a power supply 990 and other components. Those skilled in the art can understand that the structure of the mobile phone shown in FIG. 6 does not constitute a limitation to the mobile phone, and may include more or less components than shown in the figure, or combine some components, or arrange different components.

The following is a specific introduction to each component of the mobile phone in conjunction with Figure 6:

The input unit 930 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the mobile phone. Specifically, the input unit 930 may include a touch screen 933 , a fingerprint identification device 931 and other input devices 932 . The fingerprint identification device 931 is combined with the touch screen 933 . The input unit 930 may also include other input devices 932 . Specifically, other input devices 932 may include but not limited to one or more of physical keys, function keys (such as volume control keys, switch keys, etc.), trackball, mouse, joystick, and the like. Wherein, the touch display screen 933 is configured to determine N areas corresponding to the touch operation when detecting a touch operation on the touch display screen 933, and notify the fingerprint recognition device 931 to perform fingerprint collection, The N is an integer greater than 1; the fingerprint identification device 933 is used to control the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition to obtain the N fingerprint images, and the N The area is in one-to-one correspondence with the N fingerprint collection modules, and the N fingerprint images are sent to the AP980; the AP980 is configured to generate a target fingerprint image according to the N fingerprint images.

AP980 is the control center of the mobile phone. It uses various interfaces and lines to connect various parts of the entire mobile phone. By running or executing software programs and/or modules stored in the memory 920, and calling data stored in the memory 920, the mobile phone is executed. Various functions and processing data, so as to monitor the mobile phone as a whole. Optionally, the AP980 can include one or more processing units; optionally, the AP980 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc. The tuner processor mainly handles wireless communication. It can be understood that the above-mentioned modem processor may not be integrated into the AP980.

In addition, the memory 920 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

RF circuitry 910 may be used for the reception and transmission of information. Generally, the RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, and the like. In addition, RF circuitry 910 may also communicate with networks and other devices via wireless communications. The above wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile Communication (Global System of Mobilecommunication, GSM), General Packet Radio Service (General Packet Radio Service, GPRS), Code Division Multiple Access (Code Division Multiple Access, CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), e-mail, Short Messaging Service (Short Messaging Service, SMS), etc.

The handset may also include at least one sensor 950, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor can include an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the touch display screen according to the brightness of the ambient light, and the proximity sensor can turn off the touch display screen when the mobile phone is moved to the ear. and/or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used to identify the application of mobile phone posture (such as horizontal and vertical screen switching, related Games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tap), etc.; as for other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. repeat.

The audio circuit 960, the speaker 961, and the microphone 962 can provide an audio interface between the user and the mobile phone. The audio circuit 960 can transmit the electrical signal converted from the received audio data to the loudspeaker 961, and the loudspeaker 961 converts it into a sound signal for playback; After being received, it is converted into audio data, and then the audio data is played by the AP980 for processing, and then sent to another mobile phone through the RF circuit 910, or the audio data is played to the memory 920 for further processing.

WiFi is a short-distance wireless transmission technology. The mobile phone can help users send and receive emails, browse web pages, and access streaming media through the WiFi module 970. It provides users with wireless broadband Internet access. Although FIG. 6 shows a WiFi module 970, it can be understood that it is not an essential component of the mobile phone, and can be completely omitted as required without changing the essence of the invention.

The mobile phone also includes a power supply 990 (such as a battery) for supplying power to various components. Optionally, the power supply can be logically connected to the AP980 through the power management system, so that functions such as charging, discharging, and power consumption management can be realized through the power management system.

Although not shown, the mobile phone may also include a camera, a Bluetooth module, etc., which will not be repeated here.

In the aforementioned embodiment shown in FIG. 2 or FIG. 3 , the method flow of each step can be implemented based on the structure of the mobile phone.

In the aforementioned embodiment shown in FIG. 4 or FIG. 5 , the functions of each unit can be realized based on the structure of the mobile phone.

An embodiment of the present invention also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute any part of the fingerprint collection method as described in the above method embodiments or all steps.

An embodiment of the present invention also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the method described in the above method embodiments. Some or all steps of any fingerprint collection method.

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

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

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

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

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented not only in the form of hardware, but also in the form of software program modules.

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

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related 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, abbreviated: ROM), random access device (English: Random Access Memory, abbreviated: RAM), magnetic disk or optical disk, etc.

The embodiments of the present invention have been described in detail above, and specific examples have been used in this paper to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only used to help understand the method and core idea of the present invention; at the same time, for Those skilled in the art will have changes in the specific implementation and scope of application according to the idea of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (14)

1. A mobile terminal, comprising an application processor AP, a touch display screen, and a fingerprint identification device, characterized in that, The touch display screen is configured to determine N areas corresponding to the touch operation when detecting a touch operation on the touch display screen, and notify the fingerprint identification device to perform fingerprint collection, where N is greater than an integer of 1; The fingerprint identification device is used to control the N fingerprint collection modules corresponding to the N areas to perform fingerprint collection to obtain the N fingerprint images, and the N areas are the same as the N fingerprint collection modules One-to-one correspondence, and sending the N fingerprint images to the AP; The AP is configured to generate a target fingerprint image according to the N fingerprint images. 2. The mobile terminal according to claim 1, wherein the specific implementation manner of determining the N areas corresponding to the touch operation by the touch display screen is as follows: The touch display screen determines the touch area of the touch operation; determines that the touch area covers the area of the fingerprint identification device, and obtains the N areas. 3. The mobile terminal according to claim 2, wherein the fingerprint identification device controls the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition in a specific manner as follows: The fingerprint identification device wakes up the N fingerprint acquisition modules corresponding to the N areas, and controls the M-N fingerprint acquisition modules to be in a dormant state, the fingerprint identification device includes the M fingerprint acquisition modules, and the M is An integer greater than the N; controlling the N fingerprint collection modules to perform fingerprint collection. 4. The mobile terminal according to any one of claims 1 to 3, wherein the specific implementation of the AP generating the target fingerprint image according to the N fingerprint images is as follows: The AP performs image quality evaluation on the N fingerprint images to obtain the N image quality evaluation values, and selects an image quality evaluation value greater than a first preset threshold from the N image quality evaluation values to obtain the The K image quality evaluation values, the K is an integer greater than 1 and less than the N, and the K fingerprint images corresponding to the K image quality evaluation values are subjected to an image splicing operation to obtain the target fingerprint image . 5. The mobile terminal according to claim 4, characterized in that, the AP performs an image splicing operation on the K fingerprint images corresponding to the K image quality evaluation values in the following manner: The AP maps the K fingerprint images corresponding to the K image quality evaluation values into a coordinate system, performs contour extraction on the K fingerprint images corresponding to the K image quality evaluation values, and obtains the The K contour images are based on splicing the K contour images to obtain a target contour image, and the target contour image is covered on the periphery of the K fingerprint images. 6. A fingerprint collection method, applied to a mobile terminal comprising an application processor AP, a touch display screen, and a fingerprint identification device, characterized in that, comprising: The mobile terminal controls the touch screen to determine N areas corresponding to the touch operation when detecting a touch operation on the touch screen, and notifies the fingerprint recognition device to perform fingerprint collection, and the N is an integer greater than 1; The mobile terminal controls the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition through the fingerprint identification device, and obtains the N fingerprint images, and the N areas and the N fingerprint acquisition modules The modules are in one-to-one correspondence, and the N fingerprint images are sent to the AP; The mobile terminal generates a target fingerprint image according to the N fingerprint images through the AP. 7. The method according to claim 6, wherein the mobile terminal controls the touch screen to determine the N areas corresponding to the touch operation, comprising: The mobile terminal controls the touch display screen to determine the touch area of the touch operation; it is determined that the touch area covers the area of the fingerprint identification device to obtain the N areas. 8. The method according to claim 6, wherein the mobile terminal controls the fingerprint identification device to control the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition, comprising: The mobile terminal controls the fingerprint identification device to wake up the N fingerprint acquisition modules corresponding to the N areas, and controls the M-N fingerprint acquisition modules to be in a dormant state, and the fingerprint identification device includes the M fingerprint acquisition modules , the M is an integer greater than the N; controlling the N fingerprint collection modules to perform fingerprint collection. 9. The method according to any one of claims 6 to 8, wherein the mobile terminal controls the AP to generate a target fingerprint image according to the N fingerprint images, comprising: The mobile terminal controls the AP to perform image quality evaluation on the N fingerprint images to obtain the N image quality evaluation values, and selects an image quality greater than a first preset threshold from the N image quality evaluation values evaluation value, to obtain the K image quality evaluation values, the K is an integer greater than 1 and less than the N, and the K fingerprint images corresponding to the K image quality evaluation values are subjected to an image splicing operation to obtain The target fingerprint image. 10. The method according to claim 9, wherein the mobile terminal controls the AP to perform an image splicing operation on the K fingerprint images corresponding to the K image quality evaluation values, including: The mobile terminal controls the AP to map the K fingerprint images corresponding to the K image quality evaluation values into a coordinate system, and profile the K fingerprint images corresponding to the K image quality evaluation values. Extracting to obtain the K contour images, obtaining a target contour image based on splicing the K contour images, and covering the target contour image on the periphery of the K fingerprint images. 11. A mobile terminal, characterized in that it comprises: an application processor AP, a touch display screen, a fingerprint recognition device and a memory; and one or more programs; The one or more programs are stored in the memory and are configured to be executed by the AP, the programs comprising instructions for performing the method according to any one of claims 6-10. 12. A fingerprint collection device, characterized in that it is applied to a mobile terminal including an application processor AP, a touch display screen, and a fingerprint identification device, and the fingerprint collection device includes a determination unit, a collection unit, and a generation unit, wherein, The determination unit is configured to control the touch display screen to determine N areas corresponding to the touch operation when detecting a touch operation on the touch display screen, and notify the fingerprint identification device to perform fingerprint collection, The N is an integer greater than 1; The acquisition unit is configured to control the N fingerprint acquisition modules corresponding to the N areas to perform fingerprint acquisition through the fingerprint identification device, to obtain the N fingerprint images, and the N areas and the N areas The fingerprint acquisition modules correspond one by one, and send the N fingerprint images to the AP; The generating unit is configured to generate a target fingerprint image according to the N fingerprint images through the AP. 13. A computer-readable storage medium, characterized in that it stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to any one of claims 6-10. 14. A computer program product, characterized in that, the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to perform any one of claims 6-10. method described in the item.