WO2021217476A1 - Fingerprint identification method, apparatus, and electronic device - Google Patents

Abstract

A fingerprint identification method (100), an apparatus (10), and an electronic device (1), capable of reducing the false acceptance rate of fingerprint identification and improving the performance of fingerprint identification. The fingerprint identification method (100) comprises: acquiring a target image, and obtaining a first ghost template image according to the target image (S110); acquiring an image to be identified (S120); determining, according to the first ghost template image and the image to be identified, whether the image to be identified is a fingerprint ghost (S130); and performing fingerprint identification on the basis of the determination result (S140). By means of the fingerprint identification method (100), the first ghost template image is obtained before the image to be identified is acquired, ghost determination is performed according to the first ghost template image, and upon determination that the image to be identified is the fingerprint ghost, it can be directly determined that fingerprint identification fails (S141). Therefore, success of fingerprint identification caused by the fingerprint ghost can be avoided, the false acceptance rate is reduced, and the security performance and the user experience of the fingerprint apparatus (10) are improved.

Description

Fingerprint identification method, device and electronic equipment Technical field

This application relates to the field of fingerprint identification technology, and more specifically, to a fingerprint identification method, device, and electronic equipment.

Background technique

With the rapid development of the information industry, biometric technology has been widely used. In particular, because different users’ fingerprints are different, they are easy to use for user identification. Therefore, fingerprint recognition technology has been widely used in mobile terminals and smart phones. Home furnishing and other fields provide security for user information.

In some scenarios, such as when the user’s finger is dirty or stays in the fingerprint recognition area for a long time, part of the fingerprint residual image may be left in the fingerprint recognition area, which will affect the subsequent fingerprint recognition effect and cause fingerprint identification errors. , Which increases the false acceptance rate (FAR) of fingerprint recognition.

Therefore, how to reduce the false recognition rate of fingerprint recognition and improve the performance of fingerprint recognition is a technical problem to be solved urgently.

Summary of the invention

The embodiments of the present application provide a fingerprint identification method, device, and electronic equipment, which can reduce the false identification rate of fingerprint identification and improve the performance of fingerprint identification.

In a first aspect, a fingerprint identification method is provided, which includes: acquiring a target image, acquiring a first residual image template image based on the target image; acquiring an image to be identified; and judging based on the first residual image template image and the image to be identified Whether the image to be recognized is a fingerprint afterimage; fingerprint recognition is performed based on the judgment result.

Through the solution of the embodiment of this application, before the image to be recognized is collected, the first residual image template image is first acquired, and the residual image determination is performed based on the first residual image template image. If it is determined that the image to be recognized is a fingerprint residual image, then Directly determine that the fingerprint recognition fails. In the previous fingerprint identification process, the lack of this judgment step will result in successful fingerprint identification due to the presence of fingerprint residual images, which will cause misunderstandings. Therefore, with the solution of the embodiment of the present application, it is possible to avoid using fingerprint residuals to make fingerprint recognition successful, reduce the misrecognition rate, and improve the security performance and user experience of the fingerprint device.

In a possible implementation manner, the capturing of the target image includes: receiving the first indication information and capturing the target image during one press and lifting; the capturing the image to be recognized includes: receiving the second image during the next press Instruct information to collect the image to be recognized.

In a possible implementation manner, the first indication information and/or the second indication information are indication information sent by the touch display screen.

In a possible implementation manner, the acquiring the first residual image template image according to the target image includes: performing fingerprint recognition on the target image, and if the fingerprint recognition is successful, using the target image as the first residual image template image ; If the fingerprint recognition fails, the target image is not used as the first residual image template image.

In a possible implementation manner, the acquiring the first residual image template image according to the target image includes: before the one-time pressing and lifting, collecting the image for fingerprint recognition; if the fingerprint recognition is successful, performing the fingerprint recognition after the first pressing and lifting When the target image is used as the first residual image template image; if the fingerprint recognition fails, the target image is not used as the first residual image template image when the one-time pressing is lifted.

In a possible implementation manner, the acquiring the first residual image template image according to the target image includes: comparing the target image with the user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, then the target image As the first residual image template image; if the similarity is less than the preset threshold, the target image is not used as the first residual image template image.

In a possible implementation manner, the fingerprint identification method further includes: storing the first residual image template image.

In a possible implementation manner, the judging whether the image to be recognized is a fingerprint afterimage based on the first residual image template image and the image to be recognized includes: comparing the image to be recognized with the residual image template image If the similarity is greater than or equal to the preset threshold, it is determined that the image to be identified is fingerprint afterimage; if the similarity is less than the preset threshold, it is determined that the image to be identified is not fingerprint afterimage.

In a possible implementation, the fingerprint identification method further includes: acquiring at least one second afterimage template image; determining whether the image to be identified is a fingerprint based on the first afterimage template image and the image to be identified The afterimage includes: comparing the image to be recognized with a plurality of afterimage template images, the plurality of afterimage template images including: the first afterimage template image and the at least one second afterimage template image; The similarity between the recognition image and at least one residual image template image of the plurality of residual image template images is greater than or equal to a preset threshold, and it is determined that the image to be recognized is a fingerprint residual image; if the image to be recognized and the multiple residual image template images The similarity of is less than the preset threshold, and it is determined that the image to be recognized is not fingerprint afterimage.

In a possible implementation, the fingerprint recognition based on the judgment result includes: if it is judged that the image to be identified is a fingerprint afterimage, determining that the fingerprint recognition fails; if it is judged that the image to be identified is not a fingerprint afterimage, then Identify the image for fingerprint recognition.

In a possible implementation manner, performing fingerprint recognition on the image to be recognized includes: comparing the image to be recognized with a user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, determining that the fingerprint recognition is successful; If the degree is less than the preset threshold, it is determined that the fingerprint recognition has failed.

In a possible implementation manner, the first residual image template image and the image to be recognized are optical fingerprint images.

In a second aspect, a fingerprint identification device is provided, including: a fingerprint sensor and a processor; the fingerprint sensor is configured to: collect a target image and collect the image to be recognized; the processor is configured to: The target image is processed to obtain a first residual image template image; the image to be recognized is acquired, and based on the first residual image template image and the image to be recognized, it is judged whether the image to be recognized is a fingerprint residual image, and fingerprinting is performed based on the judgment result Recognition.

In a possible implementation manner, the fingerprint sensor is configured to receive the first indication information and collect the target image during one press to lift; during the next press, receive the second indication information and collect the image to be recognized .

In a possible implementation manner, the first indication information and/or the second indication information are indication information sent by a touch display screen in an electronic device where the fingerprint identification device is located.

In a possible implementation manner, the processor is configured to: perform fingerprint recognition on the target image; if the fingerprint recognition is successful, determine that the target image is the first residual image template image; if the fingerprint recognition fails, determine the target The image is not the first residual image template image.

In a possible implementation manner, the fingerprint sensor is further configured to collect an image for fingerprint recognition before the one-time press to lift; the processor is also configured to obtain the image and perform fingerprint recognition on the image If the fingerprint recognition is successful, the target image is determined to be the first residual image template image; if the fingerprint recognition fails, it is determined that the target image is not the first residual image template image.

In a possible implementation manner, the processor is configured to: compare the target image with a user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, determine that the target image is the first residual image template image; If the similarity is less than the preset threshold, it is determined that the target image is not the first residual image template image.

In a possible implementation manner, the fingerprint identification device further includes: a memory configured to store the first residual image template image.

In a possible implementation manner, the processor is configured to: compare the image to be recognized with the first residual image template image, and if the similarity is greater than or equal to a preset threshold, determine that the image to be recognized is a fingerprint residual image ; If the similarity is less than the preset threshold, it is determined that the image to be identified is not fingerprint afterimage.

In a possible implementation manner, the processor is further configured to: obtain at least one second afterimage template image from the memory; compare the to-be-identified image with multiple afterimage template images, and the multiple afterimage template images The template image includes: the first residual image template image and the at least one second residual image template image; A threshold is set to determine that the image to be identified is a fingerprint afterimage; if the similarity between the image to be identified and the multiple afterimage template images is less than a preset threshold, it is determined that the image to be identified is not a fingerprint afterimage.

In a possible implementation, the processor is configured to: if it is determined that the image to be recognized is a fingerprint afterimage, determine that the fingerprint recognition has failed; if it is determined that the image to be identified is not a fingerprint afterimage, perform a process on the image to be recognized Fingerprint recognition.

In a possible implementation manner, the processor is configured to: compare the image to be identified with the user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, determine that the fingerprint identification is successful; if the similarity is less than the preset threshold To confirm that the fingerprint recognition failed.

In a possible implementation, the fingerprint sensor is an optical fingerprint sensor.

In a possible implementation, the optical fingerprint sensor is arranged under the display screen of the electronic device where the fingerprint identification device is located, and is used to receive the fingerprint light signal returned after being reflected or scattered from the finger above the display screen to perform Fingerprint recognition.

In a third aspect, an electronic device is provided, including: a display screen, and the fingerprint identification device in the second aspect or any one of its possible implementation manners.

In a possible implementation manner, the fingerprint identification device is arranged below the display screen, and the fingerprint identification device receives the fingerprint light signal reflected or scattered from the finger above the display screen to perform fingerprint identification.

In one possible implementation, the display screen is a touch display screen.

Description of the drawings

FIG. 1 is a schematic diagram of the structure of an electronic device to which an embodiment of the present application is applied.

Fig. 2 is a schematic flowchart of a fingerprint identification method according to an embodiment of the present application.

Fig. 3 is a schematic flowchart of another fingerprint identification method according to an embodiment of the present application.

Fig. 4 is a schematic flowchart of another fingerprint identification method according to an embodiment of the present application.

Fig. 5 is a schematic flowchart of another fingerprint identification method according to an embodiment of the present application.

Fig. 6 is a schematic block diagram of a fingerprint identification device according to an embodiment of the present application.

Fig. 7 is a schematic block diagram of an electronic device according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below in conjunction with the accompanying drawings.

It should be understood that the embodiments of this application can be applied to fingerprint identification systems, including but not limited to optical fingerprint identification systems, capacitive fingerprint identification systems or other fingerprint identification products based on fingerprint imaging. The embodiments of this application only take optical fingerprint systems as an example for illustration. However, the embodiments of the present application should not constitute any limitation, and the embodiments of the present application are also applicable to other systems using optical imaging technology.

As a common application scenario, the fingerprint system provided by the embodiments of this application can be applied to smart phones, tablet computers and other mobile terminals with display screens, or other electronic devices such as smart door locks, fingerprint attendance machines, smart car-mounted devices, etc. .

More specifically, in the above electronic equipment, the fingerprint identification device may be specifically an optical fingerprint device, an electrical fingerprint device, or an ultrasonic fingerprint device. In some cases, it may be arranged in a partial area or an entire area under the display screen. So as to form an under-display fingerprint system. Alternatively, the fingerprint identification device can also be partially or fully integrated into the display screen of the electronic device to form an in-display optical fingerprint system.

FIG. 1 is a schematic structural diagram of an electronic device to which the embodiments of this application can be applied. The electronic device 1 includes an optical fingerprint device 130. Optionally, the electronic device 1 may also include a display screen 120, wherein the optical fingerprint device 130 Set in a partial area below the display screen 120. The optical fingerprint device 130 includes an optical fingerprint sensor, and the optical fingerprint sensor includes a sensing array 133 having a plurality of optical sensing units 131, and the area where the sensing array 133 is located or its sensing area is the fingerprint detection area 103 of the optical fingerprint device 130. As shown in FIG. 1, the fingerprint detection area 103 is located in the display area of the display screen 120. In an alternative embodiment, the optical fingerprint device 130 can also be arranged in other positions, such as the side of the display screen 120 or the non-transmissive area at the edge of the electronic device 1, and at least part of the display area of the display screen 120 is designed through the optical path. The optical signal of is guided to the optical fingerprint device 130, so that the fingerprint detection area 103 is actually located in the display area of the display screen 120.

It should be understood that the area of the fingerprint detection area 103 may be different from the area of the sensing array of the optical fingerprint device 130. For example, through the optical path design such as lens imaging, reflective folding optical path design, or other optical path design such as light convergence or reflection, the optical fingerprint can be made The area of the fingerprint detection area 103 of the device 130 is larger than the area of the sensing array of the optical fingerprint device 130. In other alternative implementations, if for example, light collimation is used for light path guidance, the fingerprint detection area 103 of the optical fingerprint device 130 can also be designed to be substantially the same as the area of the sensing array of the optical fingerprint device 130.

Therefore, when the user needs to unlock the electronic device or perform other fingerprint verification, he only needs to press his finger on the fingerprint detection area 103 located on the display screen 120 to realize fingerprint input. Since fingerprint detection can be implemented in the screen, the electronic device 1 with the above structure does not need to reserve space on the front side for the fingerprint button (such as the Home button), so a full-screen solution can be adopted, that is, the display area of the display screen 120 can be basically Extend to the front of the entire electronic device 1.

As an optional implementation, as shown in FIG. 1, the optical fingerprint device 130 includes a light detecting portion 134 and an optical component 132. The light detecting portion 134 includes a sensing array and a reading circuit electrically connected to the sensing array. Other auxiliary circuits, which can be fabricated on a chip (Die) through a semiconductor process, such as an optical imaging chip or an optical fingerprint sensor. The sensing array is specifically a photodetector array, which includes a plurality of arrays distributed The photodetector can be used as the above-mentioned optical sensing unit; the optical component 132 can be arranged above the sensing array of the light detecting part 134, and it can specifically include a light guide layer or a light path guide structure and other optical elements. The light guide layer or light path guide structure is mainly used to guide the reflected light reflected from the surface of the finger to the sensing array for optical detection.

In terms of specific implementation, the optical component 132 and the light detecting part 134 may be packaged in the same optical fingerprint component. For example, the optical component 132 and the optical detection part 134 can be packaged in the same optical fingerprint chip, or the optical component 132 can be arranged outside the chip where the optical detection part 134 is located, for example, the optical component 132 can be attached to the Above the chip, or part of the components of the optical assembly 132 are integrated into the above-mentioned chip.

Among them, the light guide layer or light path guiding structure of the optical component 132 has multiple implementation schemes. For example, the light guide layer may be specifically a collimator layer made on a semiconductor silicon wafer, which has multiple collimators. Unit or micro-hole array, the collimating unit can be specifically a small hole, the reflected light reflected from the finger, the light that is perpendicularly incident on the collimating unit can pass through and be received by the optical sensor unit below it, and the incident angle Excessive light is attenuated by multiple reflections inside the collimating unit, so each optical sensor unit can basically only receive the reflected light reflected by the fingerprint pattern directly above it, so the sensor array can detect the finger Fingerprint image.

In another embodiment, the light guide layer or the light path guide structure may also be an optical lens (Lens) layer, which has one or more lens units, such as a lens group composed of one or more aspheric lenses, which is used for The reflected light reflected from the finger is condensed to the sensing array of the light detection part 134 below it, so that the sensing array can perform imaging based on the reflected light, thereby obtaining a fingerprint image of the finger. Optionally, the optical lens layer may further have a pinhole formed in the optical path of the lens unit, and the pinhole may cooperate with the optical lens layer to expand the field of view of the optical fingerprint device, so as to improve the fingerprint imaging effect of the optical fingerprint device 130.

In other embodiments, the light guide layer or the light path guide structure may also specifically adopt a micro-lens (Micro-Lens) layer. The micro-lens layer has a micro-lens array formed by a plurality of micro-lenses. The process is formed above the sensing array of the light detecting part 134, and each microlens may correspond to at least one sensing unit in the sensing array, respectively. In addition, other optical film layers may be formed between the micro lens layer and the sensing unit, such as a dielectric layer or a passivation layer. More specifically, a light blocking layer with micro holes may also be formed between the micro lens layer and the sensing unit. The micro-hole is formed between the corresponding micro-lens and the sensing unit. The light blocking layer can block the optical interference between the adjacent micro-lens and the sensing unit, and make the light corresponding to the sensing unit converge into the micro-hole through the micro-lens And it is transmitted to the sensing unit through the micro-hole for optical fingerprint imaging. It should be understood that several implementation solutions of the above-mentioned light path guiding structure can be used alone or in combination. For example, a microlens layer can be further provided under the collimator layer or the optical lens layer. Of course, when the collimator layer or the optical lens layer is used in combination with the micro lens layer, its specific laminated structure or optical path may need to be adjusted according to actual needs.

As an optional embodiment, the display screen 120 may adopt a display screen with a self-luminous display unit, such as an organic light-emitting diode (OLED) display screen or a micro-LED (Micro-LED) display screen. Taking the OLED display screen as an example, the optical fingerprint device 130 may use the display unit (ie, OLED light source) of the OLED display screen 120 located in the fingerprint detection area 103 as the excitation light source for optical fingerprint detection. When the finger 140 is pressed on the fingerprint detection area 103, the display screen 120 emits a beam of light 111 to the target finger 140 above the fingerprint detection area 103. The light 111 is reflected on the surface of the finger 140 to form reflected light or scattered inside the finger 140. To form scattered light, in related patent applications, for ease of description, the above-mentioned reflected light and scattered light are collectively referred to as reflected light. Because fingerprint ridges and valleys have different light reflection capabilities, the reflected light 151 from the fingerprint ridge and the reflected light 152 from the fingerprint valley have different light intensities. After the reflected light passes through the optical component 132, It is received by the sensing array 134 in the optical fingerprint device 130 and converted into a corresponding electrical signal, that is, a fingerprint detection signal; based on the fingerprint detection signal, fingerprint image data can be obtained, and fingerprint matching verification can be further performed, so that the electronic device 1 Realize the optical fingerprint recognition function.

In other embodiments, the optical fingerprint device 130 may also use a built-in light source or an external light source to provide an optical signal for fingerprint detection. In this case, the optical fingerprint device 130 can be applied to a non-self-luminous display screen, such as a liquid crystal display screen or other passively-luminous display screens. Taking a liquid crystal display with a backlight module and a liquid crystal panel as an example, in order to support the under-screen fingerprint detection of the liquid crystal display, the optical fingerprint system of the electronic device 1 may also include an excitation light source for optical fingerprint detection. It can be specifically an infrared light source or a light source of invisible light of a specific wavelength, which can be arranged under the backlight module of the liquid crystal display or in the edge area under the protective cover of the electronic device 1, and the optical fingerprint device 130 can be provided with a liquid crystal panel or Under the edge area of the protective cover and guided by the light path so that the fingerprint detection light can reach the optical fingerprint device 130; or, the optical fingerprint device 130 can also be arranged under the backlight module, and the backlight module passes through the diffusion sheet, the brightness enhancement sheet, The film layer such as the reflective sheet has holes or other optical designs to allow the fingerprint detection light to pass through the liquid crystal panel and the backlight module and reach the optical fingerprint device 130. When the optical fingerprint device 130 adopts a built-in light source or an external light source to provide an optical signal for fingerprint detection, the detection principle is the same as that described above.

It should be understood that, in specific implementation, the electronic device 1 further includes a transparent protective cover plate, which may be a glass cover plate or a sapphire cover plate, which is located above the display screen 120 and covers the front surface of the electronic device 1. Because, in the embodiment of the present application, the so-called finger pressing on the display screen 120 actually refers to pressing on the cover plate above the display screen 120 or covering the surface of the protective layer of the cover plate.

It should also be understood that the electronic device 1 may further include a circuit board 150 which is arranged under the optical fingerprint device 130. The optical fingerprint device 130 can be adhered to the circuit board 150 through adhesive, and is electrically connected to the circuit board 150 through soldering pads and metal wires. The optical fingerprint device 130 can realize electrical interconnection and signal transmission with other peripheral circuits or other components of the electronic device 1 through the circuit board 150. For example, the optical fingerprint device 130 may receive the control signal of the processing unit of the electronic device 1 through the circuit board 150, and may also output the fingerprint detection signal from the optical fingerprint device 130 to the processing unit or the control unit of the electronic device 1 through the circuit board 150 Wait.

On the other hand, in some embodiments, the optical fingerprint device 130 may include only one optical fingerprint sensor. At this time, the fingerprint detection area 103 of the optical fingerprint device 130 has a small area and a fixed position. Therefore, the user needs to perform fingerprint input Press the finger to a specific position of the fingerprint detection area 103, otherwise the optical fingerprint device 130 may not be able to collect fingerprint images, resulting in poor user experience. In other alternative embodiments, the optical fingerprint device 130 may specifically include a plurality of optical fingerprint sensors; the plurality of optical fingerprint sensors may be arranged side by side under the display screen 120 in a splicing manner, and the sensing areas of the plurality of optical fingerprint sensors are common The fingerprint detection area 103 of the optical fingerprint device 130 is constituted. In other words, the fingerprint detection area 103 of the optical fingerprint device 130 may include multiple sub-areas, and each sub-area corresponds to the sensing area of one of the optical fingerprint sensors, so that the fingerprint collection area 103 of the optical fingerprint device 130 can be extended to display The main area of the lower half of the screen is extended to the area where the finger is habitually pressed, so as to realize the blind fingerprint input operation. Alternatively, when the number of optical fingerprint sensors is sufficient, the fingerprint detection area 103 can also be extended to half of the display area or even the entire display area, thereby realizing half-screen or full-screen fingerprint detection.

It should also be understood that, in the embodiments of the present application, the sensing array in the optical fingerprint device may also be referred to as a pixel array, and the optical sensing unit or sensing unit in the sensing array may also be referred to as a pixel unit.

It should be noted that the optical fingerprint device in the embodiments of the present application may also be referred to as an optical fingerprint recognition module, a fingerprint recognition device, a fingerprint recognition module, a fingerprint module, a fingerprint acquisition device, etc., and the above terms can be replaced with each other.

In the current fingerprint identification process, the above-mentioned optical fingerprint device transmits the fingerprint detection signal generated by it, such as the fingerprint image, to the processing unit in the electronic device. The processing unit compares the fingerprint image with a pre-stored user fingerprint image template, based on the comparison The result is fingerprint recognition. In some embodiments, if the similarity between the fingerprint image and the fingerprint image template is greater than a certain preset threshold, it means that the fingerprint image belongs to the user and the fingerprint recognition is successful. On the contrary, if the similarity between the fingerprint image and the fingerprint recognition template is less than a certain The preset threshold of, it means that the fingerprint image does not belong to the user, and the fingerprint recognition fails.

In particular, in some special cases, for example, if the user's finger is dirty, or the user's finger is pressed for a long time, or in other cases, after the user's finger presses the fingerprint recognition area, fingerprint afterimages will be left In the fingerprint recognition area, at this time, if the fingerprint recognition process is triggered, for example, if a small area touches the fingerprint recognition area without destroying the residual image, the optical fingerprint device will image the fingerprint residual image in the fingerprint recognition area Collection, thereby obtaining the wrong recognition result of successful fingerprint recognition, reduces the security performance of the fingerprint device, and is not conducive to improving the user experience.

Based on the above problems, this application proposes a fingerprint identification method. Before fingerprint identification, fingerprint afterimage is judged. If it is judged that it is not fingerprint afterimage, then the fingerprint identification process is carried out, so as to prevent fingerprint afterimage from causing fingerprint identification results. Impact and improve the security performance and user experience of fingerprint devices.

Hereinafter, the fingerprint identification method of the embodiment of the present application will be described in detail with reference to FIGS. 2 to 5.

FIG. 2 is a schematic flowchart of a fingerprint identification method 100 provided by an embodiment of the present application.

Optionally, the execution subject of the fingerprint identification method 100 may be a fingerprint identification device for collecting images in its fingerprint detection area for fingerprint identification. For example, the fingerprint identification device may be the optical fingerprint device in FIG. 1. Optionally, the fingerprint identification device may also be a capacitive fingerprint device or an ultrasonic fingerprint device. The embodiment of the present application does not specifically limit the type of a specific fingerprint identification device.

Optionally, in addition to the aforementioned fingerprint identification device, the execution subject of the fingerprint identification method 100 may also be an electronic device including the aforementioned fingerprint identification device, for example, it may be an electronic device where the optical fingerprint device in FIG. 1 is located.

As shown in FIG. 2, the fingerprint identification method 100 may include the following steps.

S110: Acquire a target image, and obtain a first residual image template image according to the target image.

Specifically, after the user’s finger is pressed and lifted once, due to various environmental reasons, if fingerprint residual images remain in the fingerprint detection area, after image acquisition and image processing, it can be used to characterize fingerprint residual images based on the acquired target image. The image template of the shadow, that is, the above-mentioned first afterimage template image.

Optionally, any fingerprint image acquisition method in the prior art can be used in this step. The images acquired in this step include but are not limited to optical images, electrical images, or ultrasound images, which are not specifically described in the embodiment of this application. limited.

Optionally, after the first fingerprint residual image template image is collected, it can be stored in the memory for subsequent fingerprint identification processes.

Optionally, in this step, the pressing area of the finger can be in the display area of the display screen, or in the non-display area, for example, located at the "HOME" key below the mobile phone display, or it can also be located behind the mobile phone. In the cover, correspondingly, the fingerprint detection area of the fingerprint detection device may be located in the display area of the display screen, the non-display area or the back cover of the mobile phone, which is not specifically limited in the embodiment of the present application.

S120: Collect an image to be recognized.

After the above step S110 is executed to collect the target image, this step S120 is executed again to collect the image to be recognized.

In some embodiments, the above step S110 is the process of collecting the target image when one press is lifted, and this step S120 is the process of collecting the image to be recognized during the next press.

In other embodiments, the above step S110 may also be a process of collecting one or more target images when any one or more times of pressing and lifting before collecting the image to be recognized. The embodiment of the present application does not limit the specific time when step S110 occurs.

Optionally, after receiving the instruction information of the next finger press, the fingerprint identification device collects the image to be identified in its fingerprint detection area.

In some cases, if the user's finger presses normally, the current to-be-recognized image collected in the fingerprint detection area is the user's fingerprint image.

In other cases, if the user's finger or other object touches by mistake, the fingerprint detection area is empty, and the collected image to be recognized may be the fingerprint residual image left in the fingerprint detection area after the last press.

Similarly, any fingerprint image collection method in the prior art can be used in this step. The images collected in this step include, but are not limited to, optical images, electrical images, or ultrasound images, which are not specifically limited in the embodiments of this application. .

S130: According to the first residual image template image and the image to be recognized, determine whether the image to be recognized is a fingerprint residual image.

S140: Perform fingerprint recognition based on the judgment result.

Specifically, the similarity of the first residual image template image obtained in step S110 and the image to be recognized acquired in step S120 may be compared. If the similarity of the first residual image template image and the image to be recognized is relatively high, the acquisition in step S120 will be described. The image to be identified is not the actual fingerprint image of the finger, but the fingerprint residual image, which further illustrates that in step S120, the user's finger is not or is not effectively pressed during the fingerprint detection, and it cannot be determined that the fingerprint identification is successful this time.

Correspondingly, if the similarity between the first residual image template image and the image to be recognized is low, it can be determined that the image to be recognized is not a fingerprint residual image, that is, it is effectively pressed on the fingerprint recognition area at this time, so that the The image to be identified is subjected to the subsequent identification and detection process.

Through the solution of the embodiment of this application, before the image to be recognized is collected, the first residual image template image is first obtained, and the residual image determination is performed based on the first residual image template image. If the image to be recognized is determined to be fingerprint residual image, it is OK It is understood that triggering the fingerprint recognition process is to touch the fingerprint recognition area in a small area without destroying the residual image. In other words, the trigger at this time is not the actual fingerprint image of the finger, so that the fingerprint recognition failure can be directly determined. In the previous fingerprint identification process, the lack of this judgment step will result in successful fingerprint identification due to the presence of fingerprint residual images, which will cause misidentification. Therefore, with the solution of the embodiment of the present application, it is possible to avoid using fingerprint residuals to make fingerprint recognition successful, reduce the misrecognition rate, and improve the security performance and user experience of the fingerprint device.

FIG. 3 shows a schematic flowchart of another method 100 for fingerprint identification.

As shown in FIG. 3, the above step S110 may include the following steps.

S111: When pressing and lifting once, receive the first instruction information, and collect the target image.

Optionally, the fingerprint identification device may receive first instruction information sent by other devices, and then collect the target image, where the first instruction information is used to indicate a pressing and lifting process.

For example, if the object is pressed on the display screen, the first instruction information is the instruction information sent by the display screen to the fingerprint identification device. Specifically, the display screen is a touch panel (TP) with a touch function, or may also be referred to as a touch display screen.

When an object (such as a finger or other pressing object) is pressed on the touch screen, the touch screen can detect the information of the object pressing. For example, the touch screen is a capacitive touch screen. When the object contacts an area on the touch screen, the capacitance value of the area occurs The change causes the electrical signal corresponding to the area to change, and the touch screen detects the information of the object pressing through the change of the electrical signal.

Similarly, after detecting the pressing of the object, the touch screen can also detect the information that the object is lifted after the pressing according to the change of the electrical signal.

After detecting that the object changes from pressing to lifting, in some examples, the touch screen can directly send the instruction information (for example, the first instruction information mentioned above) to the fingerprint identification device. In other examples, the touch screen can also indirectly send the instruction information to the fingerprint identification device. The instruction information is sent to the fingerprint identification device. For example, the touch screen can send the instruction information to the processing unit of the electronic device where it is located, and the processing unit then sends the corresponding instruction information to the fingerprint identification device.

It is understandable that, in addition to detecting the movement of an object from pressing to lifting through the touch screen, it can also detect the movement of an object from pressing to lifting by other means, for example, the processor of the electronic device where the fingerprint recognition device is located. After completing a certain target task according to the pressing action, the corresponding information is sent to the fingerprint identification device. The embodiment of the present application does not limit the specific detection method.

Optionally, in addition to the above-mentioned method of receiving the first instruction information and collecting the target image, it does not depend on the information sent by the outside world. The fingerprint recognition device can judge by itself whether the object is pressed and whether the process of changing from pressing to lifting, for example , The fingerprint recognition device can judge whether the object is pressed or changed from pressing to lifting based on the received light signal strength, electrical signal strength or sound wave signal strength. If the fingerprint recognition device is an optical fingerprint device, the light collected by the object is pressed The overall signal strength is weak, and after the object is lifted, the collected optical signal strength is overall higher than the optical signal strength when the object is pressed. Therefore, the movement change of the object from pressing to lifting can be judged according to the change of the light signal intensity.

It should be understood that the method for determining the lifting and pressing in the embodiment of the present application includes but is not limited to the above method, and the specific method is not limited in the embodiment of the present application.

After judging that the object is pressed to lifted, the fingerprint identification device collects the target image in the fingerprint detection area.

Since this collection action occurs within a short period of time after pressing and lifting, if the current finger is pressing and the pressing is heavy, or the finger is dirty, it is easy to collect fingerprint residual images in the fingerprint detection area, and the collected target The image may be an afterimage of fingerprints. In case 1, if the finger is a user's finger, then the captured target image is the user's fingerprint afterimage image, while in case 2, if the finger is a non-user finger, then the captured target image is the non-user fingerprint afterimage image .

In case 3, if the current situation is not a finger press or a finger accidental touch, a light press, etc., and no fingerprint afterimage is left in the fingerprint detection area, the collected image is not a fingerprint image.

In the embodiment of the present application, in order to avoid residual image and make fingerprint recognition successful, only the target image collected in case 1 needs to be used as the first fingerprint template image for fingerprint recognition, and the target image collected in cases 2 and 3 In the normal fingerprint identification process, it can be determined that the fingerprint identification fails, and it does not need to be used for subsequent fingerprint identification.

Therefore, in the following step S112, the target image in case 1 is deleted and selected as the first fingerprint template image for subsequent fingerprint recognition.

S112: Perform fingerprint recognition on the target image, and judge whether it is successful.

Specifically, the fingerprint recognition process is performed on the captured target image, that is, it is determined whether the captured target image is a user's finger. Specifically, the target image can be compared with the user fingerprint template image to determine whether the target image is If the similarity of the user fingerprint image is high, it is determined that the target image is a user fingerprint image and the fingerprint recognition is successful; if the similarity is low, it is determined that the target image is not a user fingerprint image and the fingerprint recognition fails.

Optionally, the user fingerprint template image is a fingerprint image collected by the user during fingerprint registration, or a user fingerprint image obtained by processing in other cases, and the user fingerprint template image can be used as a standard user fingerprint image to compare other images. Determine whether it is a user's fingerprint image.

S1121: If the target image is a fingerprint residual image of the user, the target image may be used as the user's first residual image template image through a fingerprint recognition process.

S1122: If the target image is not the user's fingerprint residual image, the fingerprint identification process cannot be passed, and the target image will not be used as the user's first residual image template image.

In this case, the fingerprint identification process at the next pressing is the same as the fingerprint identification process in the prior art. As an example, the fingerprint image collected during pressing can be directly compared with the user fingerprint template image to obtain the fingerprint identification result.

The above step S120 may include:

S121: In the next pressing, receive the second instruction information, and collect the image to be recognized.

Optionally, the fingerprint identification device may receive second instruction information sent by other devices, and then collect the image to be identified, where the second instruction information is used to indicate the next pressing process.

In some examples, the fingerprint identification device may receive the second instruction information sent by the touch screen.

Specifically, the process of detecting the pressing of the object on the touch screen and sending the instruction information to the fingerprint identification device can refer to the relevant description in the above step S111, which will not be repeated here.

After judging the next pressing of the object, the fingerprint identification device collects the image to be identified in the fingerprint detection area.

In the current pressing situation, the fingerprint recognition device needs to perform fingerprint recognition on the collected image to be recognized, so as to perform the corresponding operation.

In case 1, if this press is a normal press by a user’s finger or a non-user’s finger, even if there is a fingerprint residual image in the fingerprint detection area, the finger press will destroy the residual image. At this time, the collected image to be recognized is a complete fingerprint image. It is not a fingerprint image.

In case 2, if the pressing is not a finger press, but a foreign body press or a finger accidentally touched, if there is fingerprint residual image in the fingerprint detection area, it will not cause damage to the fingerprint residual image. The recognition image is a fingerprint image.

The above step S130 may include the following steps.

S131: Compare the image to be recognized with the first residual image template image, and determine whether the image to be recognized is a fingerprint residual image.

Specifically, in this step, the first afterimage template image is a fingerprint afterimage image generated by the user after the last press.

For case 1 in step S121, the collected image to be recognized is a complete fingerprint image. At this time, the complete fingerprint image is compared with the first residual image template image, and the comparison cannot be detected, so that it can be determined that the image to be recognized is not a fingerprint residual image. film.

For case 2 in step S121, the collected image to be recognized is still the last fingerprint afterimage image. At this time, the fingerprint afterimage image is compared with the first afterimage template image, and the image to be identified can be determined by comparison detection. It is fingerprint afterimage.

Specifically, in the embodiment of the present application, the similarity between the image to be recognized and the first residual image template image can be compared to determine whether the image to be recognized is a fingerprint residual image.

As an example, the phase difference between the image to be recognized and the first residual template image can be calculated. If the phase difference is greater than a certain preset threshold, it means that the similarity between the image to be recognized and the first residual template image is low, and the image to be recognized can be determined The recognition image is fingerprint afterimage; on the contrary, if the phase difference is less than or equal to a certain preset threshold, it means that the image to be recognized has a high similarity with the first afterimage template image, and it is determined that the image to be recognized is not fingerprint afterimage.

In addition, you can also use the histogram method, image template matching, structural similarity (Structural Similarity Index, SSIM), peak signal to noise ratio (Peak Signal to Noise Ratio, PSNR), or perceptual hash algorithm (Perceptual hash algorithm), etc. The method performs similarity comparison. The similarity comparison method in this application can adopt any comparison method in the prior art, which is not specifically limited in the embodiments of this application.

The foregoing step S140 may include:

S141: If the image to be recognized is fingerprint afterimage, it is determined that the fingerprint recognition fails.

S142: If the image to be recognized is not a fingerprint residual image, continue fingerprint recognition on the image to be recognized, and determine the fingerprint recognition result.

Specifically, on the basis of determining that the image to be identified is not a fingerprint afterimage, the similarity of the image to be identified and the user fingerprint template image are compared to determine whether the image to be identified is a user fingerprint, and the fingerprint identification result is determined.

Optionally, if the fingerprint recognition result is that the recognition is successful, after the finger is lifted, the target image in the fingerprint detection area can be continuously collected, that is, the above steps S111 to S1122 are performed.

Optionally, the newly acquired target image may be stored as a new afterimage template image, or the target image may replace the previous first afterimage template image and be stored in the memory.

If an afterimage template image is dynamically stored in the memory, the afterimage determination speed is faster, which can help save the storage space of the system.

FIG. 4 shows a schematic flowchart of another fingerprint identification method 100.

As shown in FIG. 4, the above step S110 may include the following steps.

S101: During one pressing, receive a second instruction message, and collect a first image.

Specifically, this step is the same as the execution process of step S121, which can be understood as the last pressing process of step S121, and step S111 is the method action executed when the object is lifted after this pressing.

The first image collected in this step may be the image to be recognized collected during this pressing. For the specific implementation method of this step, reference may be made to the relevant description of the above step S121, which will not be repeated here.

S111: When lifting after this pressing, receive the first instruction information, and collect the target image.

S113: Perform fingerprint recognition on the first image, and judge whether it is successful.

S1131: If the fingerprint recognition is successful, if the target image is used as the first residual image template image.

S1132: If the fingerprint recognition fails, the target image is not used as the first residual image template image.

Specifically, in the embodiment of the present application, collecting the above-mentioned first image and performing fingerprint recognition on the first image is a conventional fingerprint recognition process, and the result of the recognition process is used to determine whether to use the target image as the first residual image template image.

Since the first residual image template image in this application needs to be characterized as the fingerprint residual image of the user, after fingerprint recognition of the first image, if the fingerprint recognition is successful, it can be determined that the current pressing is a user's finger pressing. Therefore, The template image collected by lifting the user's finger can be stored as the first residual image template image after processing.

It should be noted here that if the user does not leave fingerprint afterimages in the fingerprint detection area after the user's finger is lifted, or the quality of the afterimage image is not good, the collected target image is not used as the first afterimage template image.

However, if the fingerprint recognition fails after the fingerprint recognition of the first image, it can be determined that the current pressing is not the user's finger pressing, and the target image is directly not used as the first residual image template image.

In step S110, in the process of obtaining the first residual image template image according to the target image, in addition to the implementation methods in Figures 3 and 4, the target image can also be compared with the user fingerprint template image. If the similarity is greater than or equal to the preset Threshold, the target image is used as the first residual image template image; if the similarity is less than the preset threshold, the target image is not used as the first residual image template image.

The embodiment of the present application does not specifically limit the method and process of obtaining the first residual image template image according to the target image, and aims to obtain an image template used to characterize the user's fingerprint residual image.

FIG. 5 shows a schematic flowchart of another method 100 for fingerprint identification.

As shown in FIG. 5, the above step S130 may include the following steps.

S132: According to the first residual image template image and the image to be recognized, determine whether the image to be recognized is a finger residual image.

Specifically, in the embodiment of the present application, the multiple afterimage template images may include the above-mentioned first afterimage template image and the second afterimage template image processed in other ways, for example, before the image to be recognized is recognized In the multiple pressing process of, the process in step S111 to step S1122 described above can be used for processing to obtain multiple afterimage template images.

In some embodiments, multiple afterimage template images may be compared with the image to be recognized for similarity, if the similarity between the image to be recognized and at least one of the afterimage template images is greater than or equal to a preset threshold , To determine that the image to be recognized is fingerprint afterimage;

If the similarity between the image to be identified and the multiple afterimage template images is less than the preset threshold, it is determined that the image to be identified is not fingerprint afterimage.

Through the solution of the embodiment of the present application, multiple afterimage template images are compared with the image to be recognized, which improves the accuracy of the afterimage determination, thereby improving the accuracy of the entire fingerprint recognition device.

The fingerprint identification method embodiments of the present application are described in detail above with reference to FIGS. 2 to 5, and the fingerprint identification device embodiments of the present application are described in detail below with reference to FIG. 6. It should be understood that the device embodiments and the method embodiments correspond to each other. Similar description can refer to the method embodiment.

FIG. 6 is a schematic block diagram of a fingerprint identification device 10 according to an embodiment of the present application.

As shown in FIG. 6, the fingerprint identification device 10 includes: a fingerprint sensor 11 and a processor 12;

The fingerprint sensor 11 may include the optical component 132 and the light detecting part 134 in FIG. 1 described above. The processor 12 may be located on the circuit board 150 of FIG. 1 and packaged together with the fingerprint sensor 11 to form a fingerprint identification device 10. The processor 12 may not be located in the circuit board 150 in FIG. 1, and in addition to processing fingerprint images, the processor 12 may also perform other operation processing.

Specifically, the fingerprint sensor 11 is used to collect the target image when it is pressed and lifted once, and to collect the image to be recognized when it is pressed the next time;

The processor 12 is configured to: obtain a target image, and process the target image to obtain a first residual image template image; obtain the image to be recognized, and determine whether the image to be recognized is a fingerprint residual image based on the first residual image template image and the image to be recognized , And perform fingerprint recognition based on the judgment result.

In a possible implementation manner, the fingerprint sensor 11 is specifically used to receive the first indication information and collect the target image when it is pressed and lifted once; at the next pressing, it receives the second indication information and collect the image to be recognized.

In a possible implementation manner, the first indication information and/or the second indication information are indication information sent by the touch display screen in the electronic device where the fingerprint identification device is located.

In a possible implementation, the processor 12 is specifically configured to: perform fingerprint recognition on the target image; if the fingerprint recognition is successful, determine that the target image is the first residual image template image; if the fingerprint recognition fails, determine that the target image is not the first image. An afterimage template image.

In a possible implementation manner, the fingerprint sensor 11 is also used to collect an image for fingerprint recognition before pressing and lifting once.

The processor 12 is further configured to: obtain an image and perform fingerprint recognition on the image; if the fingerprint recognition is successful, determine that the target image is the first residual image template image; if the fingerprint recognition fails, determine that the target image is not the first residual image template image.

In a possible implementation manner, the processor 12 is specifically configured to: compare the target image with the user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, determine that the target image is the first residual image template image; If it is less than the preset threshold, it is determined that the target image is not the first residual image template image.

In a possible implementation, as shown in FIG. 6, the fingerprint identification device 10 further includes: a memory 13 configured to store the first residual image template image.

In a possible implementation manner, the processor 12 is specifically configured to: compare the image to be recognized with the first residual image template image, and if the similarity is greater than or equal to a preset threshold, determine that the image to be recognized is a fingerprint residual image; If the degree is less than the preset threshold, it is determined that the image to be recognized is not fingerprint afterimage.

In a possible implementation manner, the processor 12 is further configured to: obtain at least one second afterimage template image from the memory; compare the to-be-identified image with multiple afterimage template images, and the multiple afterimage template images include : The first afterimage template image and at least one second afterimage template image;

If the similarity between the image to be identified and at least one of the afterimage template images of the plurality of afterimage template images is greater than or equal to the preset threshold, it is determined that the image to be identified is fingerprint afterimage;

If the similarity between the image to be identified and the multiple afterimage template images is less than the preset threshold, it is determined that the image to be identified is not fingerprint afterimage.

In a possible implementation manner, the processor 12 is specifically configured to: if it is determined that the image to be identified is a fingerprint afterimage, determine that the fingerprint recognition has failed; if it is determined that the image to be identified is not a fingerprint afterimage, perform fingerprint identification on the image to be identified.

In a possible implementation manner, the processor 12 is specifically configured to: compare the image to be identified with the user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, determine that the fingerprint identification is successful;

If the similarity is less than the preset threshold, it is determined that the fingerprint recognition fails.

In a possible implementation, the fingerprint sensor 11 is an optical fingerprint sensor.

In a possible implementation, the above-mentioned optical fingerprint sensor is disposed under the display screen of the electronic device where the fingerprint identification device 10 is located, and is used to receive the fingerprint light signal returned after being reflected or scattered from the finger above the display screen for fingerprint identification. Recognition.

Fig. 7 is a schematic block diagram of an electronic device according to an embodiment of the present application.

As shown in FIG. 7, the electronic device 2 includes: a display screen 20 and the aforementioned fingerprint identification device 10.

In a possible implementation manner, the fingerprint identification device 10 is disposed under the display screen 20, and the fingerprint identification device 10 receives the fingerprint light signal reflected or scattered from the finger above the display screen 20 to perform fingerprint identification.

Optionally, the display screen 20 is a touch display screen.

Optionally, the display screen 20 may be an OLED screen or a liquid crystal display screen, which may be the display screen 120 in FIG. 1.

It should be noted that, under the premise of no conflict, the various embodiments described in this application and/or the technical features in each embodiment can be combined with each other arbitrarily, and the technical solutions obtained after the combination should also fall within the protection scope of this application. .

It should be understood that the specific examples in the embodiments of the present application are only to help those skilled in the art to better understand the embodiments of the present application, rather than limiting the scope of the embodiments of the present application.

It should also be understood that, in the various embodiments of the present application, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not correspond to the embodiments of the present application. The implementation process constitutes any limitation.

It should also be understood that the terms used in the embodiments of the present application and the appended claims are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. For example, the singular forms of "a", "above" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

It should be understood that the processor of the embodiment of the present application may be an integrated circuit chip with signal processing capability. In the implementation process, the steps of the foregoing method embodiments may be completed by hardware integrated logic circuits in the processor or instructions in the form of software. The above-mentioned processor may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (ASIC), a ready-made programmable gate array (Field Programmable Gate Array, FPGA) or other Programming logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

It can be understood that the memory of the embodiment of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), and electrically available Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. The volatile memory may be a random access memory (Random Access Memory, RAM), which is used as an external cache. By way of exemplary but not restrictive description, many forms of RAM are available, such as static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (Double Data Rate SDRAM, DDR SDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced SDRAM, ESDRAM), Synchronous Link Dynamic Random Access Memory (Synchlink DRAM, SLDRAM) ) And Direct Rambus RAM (DR RAM). It should be noted that the memories of the systems and methods described herein are intended to include, but are not limited to, these and any other suitable types of memories.

The embodiment of the present application also proposes a computer-readable storage medium that stores one or more programs, and the one or more programs include instructions. When the instructions are included in a portable electronic device that includes multiple application programs When executed, the portable electronic device can be made to execute the method of the foregoing embodiment.

The embodiment of the present application also proposes a computer program, which includes instructions, when the computer program is executed by a computer, the computer can execute the method of the above-mentioned embodiment.

An embodiment of the present application also provides a chip, which includes an input/output interface, at least one processor, at least one memory, and a bus. The at least one memory is used to store instructions, and the at least one processor is used to call the at least one memory. Instructions to execute the method of the above-mentioned embodiment.

A person of ordinary skill in the art may be aware that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

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

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.

If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium. , Including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program code .

The above are only specific implementations of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application. Should be covered within the scope of protection of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims (28)

1. A fingerprint identification method, characterized in that it comprises:

   Acquiring a target image, and acquiring a first residual image template image according to the target image;

   Collect the image to be recognized;

   Judging whether the image to be recognized is fingerprint afterimage according to the first afterimage template image and the image to be recognized;

   Fingerprint recognition is performed based on the judgment result.
2. The fingerprint identification method according to claim 1, wherein collecting the target image comprises:

   When pressing and lifting once, receiving the first instruction information, and collecting the target image;

   The collecting the image to be recognized includes:

   At the next pressing, the second instruction information is received, and the image to be recognized is collected.
3. The fingerprint identification method according to claim 2, wherein the first indication information and/or the second indication information are indication information sent by a touch display screen.
4. The fingerprint identification method according to any one of claims 1 to 3, wherein the acquiring a first residual image template image according to the target image comprises:

   Perform fingerprint recognition on the target image, and if the fingerprint recognition is successful, use the target image as the first residual image template image; if the fingerprint recognition fails, the target image is not used as the first residual image template image.
5. The fingerprint identification method according to claim 2 or 3, wherein the acquiring a first residual image template image according to the target image comprises:

   Before the one-time pressing and lifting, an image is collected for fingerprint recognition;

   If the fingerprint recognition is successful, when the one-time press is lifted, the target image is used as the first residual image template image;

   If the fingerprint recognition fails, the target image is not used as the first residual image template image when the one-time pressing is lifted.
6. The fingerprint identification method according to any one of claims 1 to 3, wherein the acquiring a first residual image template image according to the target image comprises:

   Comparing the target image with a user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, using the target image as the first residual image template image;

   If the similarity is less than the preset threshold, the target image is not used as the first residual image template image.
7. The fingerprint identification method according to any one of claims 1 to 6, wherein the fingerprint identification method further comprises:

   Storing the first afterimage template image.
8. The fingerprint identification method according to any one of claims 1 to 7, characterized in that, according to the first residual image template image and the image to be recognized, it is determined whether the image to be recognized is a fingerprint residual image ,include:

   Comparing the image to be recognized with the first residual image template image, and if the similarity is greater than or equal to a preset threshold, determine that the image to be recognized is a fingerprint residual image;

   If the similarity is less than the preset threshold, it is determined that the image to be recognized is not a fingerprint afterimage.
9. The fingerprint identification method according to any one of claims 1 to 7, wherein the fingerprint identification method further comprises:

   Acquiring at least one second afterimage template image;

   The judging whether the image to be recognized is a fingerprint afterimage based on the first residual image template image and the image to be recognized includes:

   Comparing the to-be-recognized image with multiple afterimage template images, where the multiple afterimage template images include: the first afterimage template image and the at least one second afterimage template image;

   If the similarity between the image to be recognized and at least one of the afterimage template images of the plurality of afterimage template images is greater than or equal to a preset threshold, determining that the image to be recognized is a fingerprint afterimage;

   If the similarity between the image to be recognized and the multiple afterimage template images is less than a preset threshold, it is determined that the image to be identified is not a fingerprint afterimage.
10. The fingerprint identification method according to any one of claims 1 to 9, wherein the fingerprint identification based on the judgment result comprises:

    If it is determined that the image to be recognized is a fingerprint afterimage, it is determined that the fingerprint recognition has failed;

    If it is determined that the image to be identified is not a fingerprint afterimage, fingerprint identification is performed on the image to be identified.
11. The fingerprint identification method according to claim 10, wherein the fingerprint identification of the image to be identified comprises:

    Comparing the image to be identified with the user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, it is determined that the fingerprint identification is successful;

    If the similarity is less than the preset threshold, it is determined that the fingerprint recognition fails.
12. The fingerprint identification method according to any one of claims 1 to 11, wherein the first residual image template image and the image to be identified are optical fingerprint images.
13. A fingerprint identification device, characterized by comprising: a fingerprint sensor and a processor;

    The fingerprint sensor is configured to collect a target image and collect an image to be recognized;

    The processor is configured to: obtain the target image, and obtain a first residual image template image according to the target image processing; obtain the to-be-recognized image, and obtain the image according to the first residual image Recognizing the image, judging whether the image to be recognized is a fingerprint afterimage, and performing fingerprint recognition based on the judgment result.
14. The fingerprint identification device according to claim 13, wherein the fingerprint sensor is configured to:

    When pressing and lifting once, receiving the first instruction information, and collecting the target image;

    At the next pressing, the second instruction information is received, and the image to be recognized is collected.
15. The fingerprint identification device according to claim 14, wherein the first instruction information and/or the second instruction information is instruction information sent by a touch display screen in an electronic device where the fingerprint identification device is located.
16. The fingerprint identification device according to any one of claims 13 to 15, wherein the processor is configured to perform fingerprint identification on the target image;

    If the fingerprint recognition is successful, it is determined that the target image is the first residual image template image; if the fingerprint recognition fails, it is determined that the target image is not the first residual image template image.
17. The fingerprint identification device according to claim 14 or 15, the fingerprint sensor is further configured to:

    Before the one-time pressing and lifting, an image is collected for fingerprint recognition;

    The processor is also configured to: acquire the image, and perform fingerprint recognition on the image;

    If the fingerprint recognition is successful, determining that the target image is the first residual image template image;

    If the fingerprint recognition fails, it is determined that the target image is not the first residual image template image.
18. The fingerprint identification device according to any one of claims 13 to 15, wherein the processor is configured to:

    Comparing the target image with a user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, determining that the target image is the first residual image template image;

    If the similarity is less than the preset threshold, it is determined that the target image is not the first residual image template image.
19. The fingerprint identification device according to any one of claims 13 to 18, wherein the fingerprint identification device further comprises: a memory configured to store the first residual image template image.
20. The fingerprint identification device according to any one of claims 13 to 19, wherein the processor is configured to:

    Comparing the image to be recognized with the first residual image template image, and if the similarity is greater than or equal to a preset threshold, determine that the image to be recognized is a fingerprint residual image;

    If the similarity is less than the preset threshold, it is determined that the image to be recognized is not a fingerprint afterimage.
21. The fingerprint identification device according to any one of claims 13 to 19, wherein the processor is further configured to: acquire at least one second residual image template image;

    Comparing the to-be-recognized image with multiple afterimage template images, where the multiple afterimage template images include: the first afterimage template image and the at least one second afterimage template image;

    If the similarity between the image to be recognized and at least one of the afterimage template images of the plurality of afterimage template images is greater than or equal to a preset threshold, determining that the image to be recognized is a fingerprint afterimage;

    If the similarity between the image to be recognized and the multiple afterimage template images is less than a preset threshold, it is determined that the image to be identified is not a fingerprint afterimage.
22. The fingerprint identification device according to any one of claims 13 to 21, wherein the processor is configured to:

    If it is determined that the image to be recognized is a fingerprint afterimage, it is determined that the fingerprint recognition has failed;

    If it is determined that the image to be identified is not a fingerprint afterimage, fingerprint identification is performed on the image to be identified.
23. The fingerprint identification device of claim 22, wherein the processor is configured to:

    Comparing the image to be identified with the user fingerprint template image, and if the similarity is greater than or equal to a preset threshold, it is determined that the fingerprint identification is successful;

    If the similarity is less than the preset threshold, it is determined that the fingerprint recognition fails.
24. The fingerprint identification device according to any one of claims 13 to 23, wherein the fingerprint sensor is an optical fingerprint sensor.
25. The fingerprint identification device according to claim 24, wherein the optical fingerprint sensor is arranged below the display screen of the electronic device where the fingerprint identification device is located, and is used to receive reflections or scattering from a finger above the display screen. Then return the fingerprint light signal for fingerprint identification.
26. An electronic device, characterized by comprising: a display screen, and

    The fingerprint identification device according to any one of claims 13 to 25.
27. The electronic equipment according to claim 26, wherein the fingerprint identification device is arranged below the display screen, and the fingerprint identification device receives the fingerprint light signal returned after being reflected or scattered from the finger above the display screen To perform fingerprint recognition.
28. The electronic device according to claim 26 or 27, wherein the display screen is a touch display screen.

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