CN110287922B

CN110287922B - Fingerprint identification method and related product

Info

Publication number: CN110287922B
Application number: CN201910581186.7A
Authority: CN
Inventors: 吴安平
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-06-29
Filing date: 2019-06-29
Publication date: 2021-05-07
Anticipated expiration: 2039-06-29
Also published as: CN110287922A

Abstract

The embodiment of the application discloses fingerprint identification method and related products, is applied to electronic equipment, electronic equipment includes ultrasonic fingerprint identification module, and wherein the method includes: acquiring a first fingerprint image through the ultrasonic fingerprint identification module; performing image quality evaluation on the first fingerprint image to obtain an evaluation result; when the evaluation result is that fingerprint collection fails, adjusting working parameters of the ultrasonic fingerprint identification module to obtain target working parameters; and controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, wherein the second fingerprint image is used for fingerprint identification operation. By adopting the method and the device, the intelligence of the ultrasonic fingerprint identification technology can be improved.

Description

Fingerprint identification method and related product

Technical Field

The application relates to the technical field of electronic equipment, in particular to a fingerprint identification method and a related product.

Background

With the widespread use of electronic devices (such as mobile phones, tablet computers, and the like), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.

Fingerprint identification technique also becomes electronic equipment's standard and joins in marriage the technique, and along with the development of fingerprint identification technique, see at present, ultrasonic fingerprint identification module more and more receives supplier's favor, but ultrasonic fingerprint identification module fingerprint collection is intelligent inadequately.

Disclosure of Invention

The embodiment of the application provides a fingerprint identification method and a related product, which can improve the intelligence of an ultrasonic fingerprint identification technology.

In a first aspect, an embodiment of the present application provides an electronic device, which includes a processing circuit and an ultrasonic fingerprint identification module connected to the processing circuit, wherein,

the ultrasonic fingerprint identification module is used for acquiring a first fingerprint image;

the processing circuit is used for evaluating the image quality of the first fingerprint image to obtain an evaluation result; when the evaluation result is that fingerprint collection fails, adjusting working parameters of the ultrasonic fingerprint identification module to obtain target working parameters;

the ultrasonic fingerprint identification module is also used for controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, and the second fingerprint image is used for fingerprint identification operation.

In a second aspect, an embodiment of the present application provides a fingerprint identification method applied to an electronic device, where the electronic device includes an ultrasonic fingerprint identification module; the method comprises the following steps:

acquiring a first fingerprint image through the ultrasonic fingerprint identification module;

performing image quality evaluation on the first fingerprint image to obtain an evaluation result;

when the evaluation result is that fingerprint collection fails, adjusting working parameters of the ultrasonic fingerprint identification module to obtain target working parameters;

and controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, wherein the second fingerprint image is used for fingerprint identification operation.

In a third aspect, an embodiment of the present application provides a fingerprint identification apparatus, which is applied to an electronic device, where the electronic device includes an ultrasonic fingerprint identification module; the device comprises: an acquisition unit, an evaluation unit, an adjustment unit, wherein,

the acquisition unit is used for acquiring a first fingerprint image through the ultrasonic fingerprint identification module;

the evaluation unit is used for evaluating the image quality of the first fingerprint image to obtain an evaluation result;

the adjusting unit is used for adjusting the working parameters of the ultrasonic fingerprint identification module when the evaluation result is that fingerprint acquisition fails to obtain target working parameters;

the acquisition unit is further used for controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, and the second fingerprint image is used for fingerprint identification operation.

In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the second aspect of the embodiment of the present application.

In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in the second aspect of the present application.

In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the second aspect of embodiments of the present application. The computer program product may be a software installation package.

The embodiment of the application has the following beneficial effects:

it can be seen that the fingerprint identification method and the related products described in the embodiment of the application, be applied to electronic equipment, this electronic equipment includes the ultrasonic fingerprint identification module, acquire first fingerprint image through the ultrasonic fingerprint identification module, carry out image quality evaluation to first fingerprint image, obtain the evaluation result, when the evaluation result is fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module, obtain target working parameter, control the ultrasonic fingerprint identification module according to target working parameter and carry out fingerprint acquisition, obtain second fingerprint image, second fingerprint image is used for the fingerprint identification operation, therefore, can be when fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module is in order to carry out fingerprint acquisition once more, can promote fingerprint acquisition efficiency, the intelligence of ultrasonic fingerprint identification technique has been promoted.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 1B is a schematic structural diagram of another electronic device provided in the embodiment of the present application;

fig. 1C is a schematic flowchart of a fingerprint identification method according to an embodiment of the present application;

FIG. 1D is a schematic illustration of a fingerprint collection area provided by an embodiment of the present application;

FIG. 2 is a schematic flowchart of another fingerprint identification method provided in an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

FIG. 4A is a block diagram illustrating functional units of a fingerprint identification device according to an embodiment of the present disclosure;

FIG. 4B is a block diagram illustrating functional units of a fingerprint identification device according to an embodiment of the present disclosure;

fig. 4C is a block diagram illustrating functional units of a fingerprint identification device according to an embodiment of the present disclosure.

Detailed Description

In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

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 application. The appearances of the 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 explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The electronic device related to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices (smart watches, smart bracelets, wireless headsets, augmented reality/virtual reality devices, smart glasses), computing devices or other processing devices connected to wireless modems, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like, which have wireless communication functions. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.

The following describes embodiments of the present application in detail.

Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application, the electronic device 100 includes a storage and processing circuit 110, and a sensor 170 connected to the storage and processing circuit 110, where:

the electronic device 100 may include control circuitry, which may include storage and processing circuitry 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. Processing circuitry in storage and processing circuitry 110 may be used to control the operation of electronic device 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.

The storage and processing circuitry 110 may be used to run software in the electronic device 100, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as, for example, camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) display screens, operations associated with performing wireless communication functionality, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 100, to name a few.

The electronic device 100 may include input-output circuitry 150. The input-output circuit 150 may be used to enable the electronic device 100 to input and output data, i.e., to allow the electronic device 100 to receive data from an external device and also to allow the electronic device 100 to output data from the electronic device 100 to the external device. The input-output circuit 150 may further include a sensor 170. Sensor 170 may include the ultrasonic fingerprint identification module, may also include ambient light sensor, proximity sensor based on light and electric capacity, touch sensor (for example, based on light touch sensor and/or capacitanc touch sensor, wherein, touch sensor may be a part of touch display screen, also can regard as a touch sensor structure independent utility), acceleration sensor, and other sensors etc., the ultrasonic fingerprint identification module can be integrated in the screen below, or, the ultrasonic fingerprint identification module can set up in electronic equipment's side or back, do not do the restriction here, this ultrasonic fingerprint identification module can be used to gather the fingerprint image.

Input-output circuit 150 may also include one or more display screens, such as display screen 130. The display 130 may include one or a combination of liquid crystal display, organic light emitting diode display, electronic ink display, plasma display, display using other display technologies. The display screen 130 may include an array of touch sensors (i.e., the display screen 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.

The electronic device 100 may also include an audio component 140. The audio component 140 may be used to provide audio input and output functionality for the electronic device 100. The audio components 140 in the electronic device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.

The communication circuit 120 may be used to provide the electronic device 100 with the capability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in Communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.

The electronic device 100 may further include a battery, power management circuitry, and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.

A user may input commands through input-output circuitry 150 to control the operation of electronic device 100, and may use output data of input-output circuitry 150 to enable receipt of status information and other outputs from electronic device 100.

In a possible example, taking the ultrasonic fingerprint identification module as an example below the screen, as shown in fig. 1B, fig. 1B is a schematic structural diagram of an electronic device, and the electronic device 100 may include a Glass Cover plate (Cover Glass)210, a display screen (OLED)220, an adhesion layer (Adhesive)230, a substrate (TFT Glass)240, a Pixel layer (Pixel)250, a piezoelectric material layer (polymer) 260, an Ag Ink layer 270, and a solidified Adhesive layer (DAF) 280. Of course, the glass cover plate may further include a film layer (film), which may be a tempered film for protecting the display screen of the electronic device.

Further, the ultrasonic fingerprint identification module can include: the TFT Glass layer, the Pixel layer, the Ag Ink layer and the solidification glue layer. The TFT Glass layer is used for metal wiring and material coating; the Pixel layer is used for embedding a Metal electrode on the TFT Glass, is used as a cathode for ultrasonic transmission/reception and is also called a piezoelectric transduction material, and can realize material deformation-voltage interconversion; an Ag Ink layer used as a positive electrode for ultrasonic transmission/reception; the DAF is a solidified glue and is used for protecting the ultrasonic fingerprint identification module; the Adhesive layer is formed by bonding the ultrasonic fingerprint identification module at the bottom of the OLED screen.

In a specific implementation, the ultrasonic fingerprint identification module may include 2 states, a TX state (for transmitting ultrasonic waves) and an RX state (for receiving ultrasonic waves).

In a TX state, high-frequency (usually 10MHz level) oscillation signals such as sine waves are provided through electrodes (a Pixel negative electrode and an Ag Ink positive electrode) at two ends of a Copolymer (piezoelectric material), the Copolymer can generate vibration of response frequency and emit ultrasonic waves, the ultrasonic waves transmitted upwards reach fingerprints in contact with the surface of a screen after penetrating through an OLED screen, and when fingerprint valley ridges are attached to the screen, the difference between the acoustic resistance characteristic of air in the fingerprint valleys and the acoustic resistance characteristic of glass on the surface of the screen is large, the difference between the acoustic resistance characteristic of skin tissues of the fingerprint ridges and the acoustic resistance characteristic of glass on the surface of the screen is large, so the intensity of ultrasonic reflection signals of the fingerprint valley ridges is different.

In an RX state, after reflected ultrasonic waves pass through the display screen again and reach the ultrasonic fingerprint identification module (Pixel-Copolymer-Ag Ink), the Copolymer is caused to vibrate to generate electric signals, the vibration intensity of the Copolymer in Pixel areas corresponding to fingerprint ridges at different positions is different, so that the potential differences received by the pixels at different positions are different (the Ag Ink is equal potential), the potential differences are converted into two-dimensional image signals, and an ultrasonic fingerprint image is obtained.

The electronic device described with reference to fig. 1A and 1B may be configured to implement the following functions:

In one possible example, in the aspect of performing image quality evaluation on the first fingerprint image to obtain an evaluation result, the processing circuit is specifically configured to:

extracting characteristic points of the first fingerprint image to obtain a plurality of characteristic points;

carrying out image segmentation on the first fingerprint image to obtain a fingerprint area image;

determining a target area corresponding to the fingerprint area image;

determining the distribution density of target characteristic points corresponding to the first fingerprint image according to the target area and the plurality of characteristic points;

determining a target evaluation value corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the evaluation value;

when the target evaluation value is in a preset range, confirming that the evaluation result is that the fingerprint collection is successful;

and when the target evaluation value is not in the preset range, confirming that the evaluation result is fingerprint acquisition failure.

In one possible example, in the aspect of adjusting the working parameter of the ultrasonic fingerprint identification module to obtain the target working parameter, the processing circuit is specifically configured to:

determining a target difference value between the target evaluation value and a target value, wherein the target value is any value in the preset range;

determining a target adjustment coefficient corresponding to the target difference value according to a mapping relation between a preset difference value and an adjustment coefficient;

and adjusting the working parameters of the ultrasonic fingerprint identification module according to the target adjustment coefficient to obtain the target working parameters.

In one possible example, the evaluation result further includes: a target fingerprint acquisition failure reason type;

the processing circuit is further specifically configured to:

determining a working parameter to be adjusted corresponding to the target fingerprint acquisition failure reason type according to a mapping relation between a preset fingerprint acquisition failure reason type and the working parameter of the ultrasonic fingerprint identification module;

in adjusting the working parameters of the ultrasonic fingerprint identification module to obtain target working parameters, the processing circuit is configured to:

and adjusting the working parameters to be adjusted to obtain the target working parameters.

In one possible example, the ultrasonic fingerprint identification module is further configured to perform proximity detection; when the distance between the approaching object and the ultrasonic fingerprint identification module is smaller than a preset distance, acquiring a target image of the approaching object;

the processing circuit is further used for extracting the contour of the target image to obtain a target contour image;

and when the target profile image meets the preset requirement, the ultrasonic fingerprint identification module confirms that the approaching object is a finger, and the step of acquiring the first fingerprint image through the ultrasonic fingerprint identification module is executed.

It can be seen that, the electronic equipment that describes in the embodiment of the application, this electronic equipment includes the ultrasonic fingerprint identification module, acquire first fingerprint image through the ultrasonic fingerprint identification module, carry out image quality evaluation to first fingerprint image, obtain the evaluation result, when the evaluation result is fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module, obtain target working parameter, control the ultrasonic fingerprint identification module according to target working parameter and carry out fingerprint acquisition, obtain second fingerprint image, second fingerprint image is used for the fingerprint identification operation, thus, can be when fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module is in order to carry out fingerprint acquisition once more, can promote fingerprint acquisition efficiency, the intelligence of ultrasonic fingerprint identification technique has been promoted.

Referring to fig. 1C, fig. 1C is a schematic flow chart of a fingerprint identification method according to an embodiment of the present application, and as shown in the drawing, the fingerprint identification method is applied to the electronic device shown in fig. 1A, where the electronic device includes an ultrasonic fingerprint identification module, and the fingerprint identification method includes:

101. through ultrasonic wave fingerprint identification module acquires first fingerprint image.

Wherein, in this application embodiment, ultrasonic fingerprint identification module can be integrated in the display screen below, as shown in fig. 1D, ultrasonic fingerprint identification module corresponds fingerprint collection region, and fingerprint collection region corresponds the touch-control region of whole or partial display screen, and fingerprint collection region can realize carrying out fingerprint collection to one or more fingers. Touch-control is regional to or is close the touch-control of the display screen that the fingerprint collection area corresponds at the finger, then electronic equipment can carry out fingerprint collection through ultrasonic fingerprint identification module, obtains target fingerprint image.

In a possible example, the step 101, by acquiring the first fingerprint image by the ultrasonic fingerprint identification module, may include the following steps:

11. when touch operation aiming at the fingerprint acquisition area is detected, acquiring target touch parameters aiming at the display screen;

12. determining a target working parameter corresponding to the target touch parameter according to a mapping relation between a preset touch parameter and a working parameter of the ultrasonic fingerprint identification module;

13. and controlling the ultrasonic fingerprint identification module to perform fingerprint acquisition according to the target working parameters to obtain the first fingerprint image.

The touch parameter may be at least one of the following: the touch force of the touch display screen, the touch time of the touch display screen, the touch area of the touch display screen, the number of touch points of the touch display screen, and the like, which are not limited herein. The working parameters of the ultrasonic fingerprint identification module can be at least one of the following: the transmitting power of ultrasonic fingerprint identification module, the operating frequency of ultrasonic fingerprint identification module, the operating current of ultrasonic fingerprint identification module, the operating voltage of ultrasonic fingerprint identification module and the operating power of ultrasonic fingerprint identification module etc. do not do the restriction here.

In the specific implementation, a mapping relation between a preset touch parameter and a working parameter of the ultrasonic fingerprint identification module can be stored in the electronic equipment in advance, the electronic equipment can acquire a target touch parameter for the display screen when touch operation for a fingerprint acquisition area is detected, the target working parameter corresponding to the target touch parameter is determined according to the mapping relation, and fingerprint acquisition is performed according to the target working parameter to obtain a first fingerprint image. Because the working parameter of ultrasonic fingerprint identification module is closely relevant with the touch-control parameter, consequently, can obtain the working parameter who corresponds with the touch-control operation and carry out fingerprint collection, obtain the better fingerprint image of image quality, for example, the touch-control dynamics is too light, and probably the fingerprint detail is unclear, then can promote fingerprint image quality to a certain extent through the transmitted power who promotes the ultrasonic fingerprint identification module.

In a possible example, before the step 101, the following steps may be further included:

a1, carrying out proximity detection through the ultrasonic fingerprint identification module;

a2, when the distance between the approaching object and the ultrasonic fingerprint identification module is smaller than a preset distance, acquiring a target image of the approaching object;

a3, extracting the contour of the target image to obtain a target contour image;

a4, when the target contour image meets the preset requirement, confirming that the approaching object is a finger, and executing the step of acquiring the first fingerprint image through the ultrasonic fingerprint identification module.

The preset distances can be set by the user or defaulted by the system. The proximity object may be a finger or other object. The preset requirement may be set by the user or default by the system, for example, the shape of the target outline image is a finger outline shape, it is confirmed that the target profile image satisfies the preset requirement, and, for example, the average width of the target profile image is within a preset range, confirming that the target profile image meets preset requirements and the like, wherein in the concrete implementation, the electronic equipment can carry out proximity detection through the ultrasonic fingerprint identification module, when the distance between the approaching object and the ultrasonic fingerprint identification module is detected to be smaller than the preset distance, a target image of the approaching object can be acquired, furthermore, contour extraction can be carried out on the target image, specifically, Hough transformation can be carried out on the target image to obtain a target contour image, when the target contour image meets the preset requirement, the approaching object is confirmed to be a finger, and then fingerprint collection can be carried out.

102. And evaluating the image quality of the first fingerprint image to obtain an evaluation result.

The evaluation result reflects the quality of the fingerprint image to a certain extent, and of course, the evaluation result may also reflect other characteristics of the fingerprint image, such as whether the fingerprint image is from a dry finger or a wet finger, for example, the collection condition or the collection environment of the fingerprint image, and for example, whether the fingerprint image is from an adult or a child. In a specific implementation, the electronic device may perform image quality evaluation on the first fingerprint image by using at least one image quality evaluation index to obtain an evaluation result, where the image quality evaluation index may be at least one of average gray scale, edge retention, sharpness, information entropy, and the like, and is not limited herein, and when the fingerprint image is subjected to image quality evaluation by using a plurality of image quality evaluation indexes, a weight value corresponding to each image quality evaluation index may be set, and then a final evaluation result is obtained through a series of weighting operations.

In a possible example, the step 102 of performing image quality evaluation on the first fingerprint image to obtain an evaluation result may include the following steps:

21. extracting characteristic points of the first fingerprint image to obtain a plurality of characteristic points;

22. carrying out image segmentation on the first fingerprint image to obtain a fingerprint area image;

23. determining a target area corresponding to the fingerprint area image;

24. determining the distribution density of target characteristic points corresponding to the first fingerprint image according to the target area and the plurality of characteristic points;

25. determining a target evaluation value corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the evaluation value;

26. when the target evaluation value is in a preset range, confirming that the evaluation result is that the fingerprint collection is successful;

27. and when the target evaluation value is not in the preset range, confirming that the evaluation result is fingerprint acquisition failure.

The preset range can be set by the user or defaulted by the system. In the specific implementation, the number of the feature points and the distribution density of the feature points reflect the quality of the image to a certain extent. The algorithm for feature point extraction may be at least one of: scale Invariant Feature Transform (SIFT), harris corner detection algorithm, SURF algorithm, etc., without limitation. The image segmentation may correspond to an algorithm of at least one of: the threshold segmentation algorithm, the region segmentation algorithm, and the edge segmentation algorithm are not limited herein.

In a specific implementation, the electronic device may extract feature points of the first fingerprint image to obtain a plurality of feature points, the first fingerprint image is subjected to image segmentation to obtain a fingerprint area image, the area of the fingerprint area image can be determined to obtain a target area, the distribution density of target characteristic points corresponding to the first fingerprint image can be determined according to the target area and a plurality of characteristic points, that is, the target feature point distribution density is the total number of the plurality of feature points/target area, a mapping relationship between a preset feature point distribution density and an evaluation value may be stored in the electronic device in advance, further, determining a target evaluation value corresponding to the target feature point distribution density according to the mapping relation, when the target evaluation value is in the preset range, the evaluation result is confirmed to be that the fingerprint collection is successful, otherwise, and when the target evaluation value is not in the preset range, confirming that the evaluation result is fingerprint acquisition failure.

103. And when the evaluation result is that the fingerprint collection fails, adjusting the working parameters of the ultrasonic fingerprint identification module to obtain target working parameters.

Wherein, the working parameter of ultrasonic fingerprint identification module can be following at least one: the transmitting power of ultrasonic fingerprint identification module, the operating frequency of ultrasonic fingerprint identification module, the operating current of ultrasonic fingerprint identification module, the operating voltage of ultrasonic fingerprint identification module and the operating power of ultrasonic fingerprint identification module etc. do not do the restriction here.

In one possible example, in the aspect of adjusting the working parameter of the ultrasonic fingerprint identification module to obtain the target working parameter, the step 103 may include the following steps:

31. determining a target difference value between the target evaluation value and a target value, wherein the target value is any value in the preset range;

32. determining a target adjustment coefficient corresponding to the target difference value according to a mapping relation between a preset difference value and an adjustment coefficient;

33. and adjusting the working parameters of the ultrasonic fingerprint identification module according to the target adjustment coefficient to obtain the target working parameters.

The electronic device may select a target value, where the target value is any value within a preset range, and determine a target difference between the target evaluation value and the target value, and the electronic device may further pre-store a mapping relationship between the preset difference and an adjustment coefficient, and further determine a target adjustment coefficient corresponding to the target difference according to the mapping relationship, where the adjustment coefficient is a real number, and a value range of the adjustment coefficient is at least one of [ -1,1], [0,1], [ -1,1], [1,10], and the like, and is not limited herein. Further, the operation of the ultrasonic fingerprint identification module may be adjusted according to a target adjustment coefficient, so as to obtain a target operating parameter, specifically, the target operating parameter is the operating parameter and the target adjustment coefficient, or the target operating parameter is the operating parameter and the target adjustment coefficient, which is not limited herein.

In one possible example, the evaluation result further includes: a target fingerprint acquisition failure reason type; the method can also comprise the following steps:

then, in step 103, adjusting the working parameters of the ultrasonic fingerprint identification module to obtain the target working parameters, which can be implemented as follows:

In the embodiment of the present application, the type of the reason for the failure of the target fingerprint acquisition may be at least one of the following: few feature points, non-fingerprint images, low temperature captured fingerprint images, dry finger fingerprint images, wet finger fingerprint images, and the like, without limitation. In the fingerprint collection process, all working parameters are not required to be adjusted according to different types of fingerprint collection failure reasons, and corresponding working parameters are adjusted according to different reasons. Therefore, the electronic device may pre-store a mapping relationship between a preset failure cause type of fingerprint collection and a working parameter of the ultrasonic fingerprint identification module, where the mapping relationship may be obtained through a large amount of experimental data, and then determine a to-be-adjusted working parameter corresponding to the failure cause type of the target fingerprint collection according to the mapping relationship, and then adjust the to-be-adjusted working parameter, and the specific adjustment means may refer to the above steps 31 to 33, so as to obtain the target working parameter, where the target working parameter may include the to-be-adjusted work after adjustment, and the working parameter that does not need to be adjusted originally.

104. And controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, wherein the second fingerprint image is used for fingerprint identification operation.

Wherein, because the operating parameter of ultrasonic fingerprint identification module adjusts, so, can promote the fingerprint collection efficiency of ultrasonic fingerprint identification module, electronic equipment can carry out fingerprint collection according to target operating parameter control ultrasonic fingerprint identification module, obtains second fingerprint image, and this second fingerprint image can be used for the fingerprint identification operation, for example, matches this second fingerprint image and predetermines the fingerprint template, and perhaps again, regard this second fingerprint image as predetermineeing fingerprint template etc..

In one possible example, after the step 104, the following steps may be further included:

b1, matching the second fingerprint image with a preset fingerprint template;

b2, when the second fingerprint image is successfully matched with the preset fingerprint template, executing an unlocking operation.

Wherein the unlocking operation can be at least one of the following: entering a main page by locking or blank screen, or starting a preset application by locking or blank screen, or executing a preset operation, wherein the preset operation can be at least one of the following operations: deletion operation, modification operation, compression operation, selection operation, photographing operation, payment operation, and the like, without limitation. In specific implementation, when the second fingerprint image is successfully matched with the preset fingerprint template, the unlocking operation can be executed, otherwise, when the second fingerprint image is unsuccessfully matched with the preset fingerprint template, the user is prompted to fail in fingerprint identification, or the user is prompted to perform fingerprint input again.

In one possible example, the step B1 may include the following steps:

b11, carrying out image segmentation on the second fingerprint image to obtain a target fingerprint area image;

b12, analyzing the characteristic point distribution of the target fingerprint area image;

b13, performing circular image interception on the target fingerprint area image according to M different circle centers to obtain M circular fingerprint area images, wherein M is an integer greater than 3;

b14, selecting a target circular fingerprint area image from the M circular fingerprint area images, wherein the number of characteristic points contained in the target circular fingerprint area image is larger than that of other circular fingerprint area images in the M circular fingerprint area images;

b15, dividing the target circular fingerprint area image to obtain N circular rings, wherein the widths of the N circular rings are the same;

b16, starting from the circular ring with the smallest radius in the N circular rings, sequentially matching the N circular rings with the preset fingerprint template for feature points, and accumulating the matching values of the matched circular rings;

and B17, immediately stopping the characteristic point matching when the accumulated matching value is larger than the preset matching threshold value, and outputting a prompt message that the fingerprint identification is successful.

Wherein, the electronic device can perform image segmentation on the second fingerprint image to obtain a target fingerprint area image, further analyze the feature point distribution of the target fingerprint area image, perform circular image interception on the target fingerprint area image according to M different circle centers to obtain M circular fingerprint area images, M is an integer greater than 3, select the target circular fingerprint area image from the M circular fingerprint area images, the number of the feature points contained in the target circular fingerprint area image is greater than that of other circular fingerprint area images in the M circular fingerprint area images, divide the target circular fingerprint area image to obtain N circular rings, the ring widths of the N circular rings are the same, perform feature point matching on the N circular rings with a preset fingerprint template in sequence from the circular ring with the smallest radius among the N circular rings, and accumulate the matching values of the matched circular rings, thus, in the fingerprint identification process, the characteristic points of different positions or different fingerprints can be used for matching, namely, the whole fingerprint image is sampled, and the sampling can cover the whole fingerprint area, so that corresponding representative characteristics can be found from each area for matching, when the accumulated matching value is greater than a preset matching threshold value, the characteristic point matching is immediately stopped, and a prompt message indicating that the fingerprint identification is successful is output, therefore, the fingerprint identification can be quickly and accurately identified.

It can be seen that, the fingerprint identification method that describes in the embodiment of the application, be applied to electronic equipment, this electronic equipment includes the ultrasonic fingerprint identification module, acquire first fingerprint image through the ultrasonic fingerprint identification module, carry out image quality evaluation to first fingerprint image, obtain the evaluation result, when the evaluation result is fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module, obtain target working parameter, control the ultrasonic fingerprint identification module according to target working parameter and carry out fingerprint acquisition, obtain the second fingerprint image, the second fingerprint image is used for the fingerprint identification operation, thus, can be when fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module is in order to carry out fingerprint acquisition once more, can promote fingerprint acquisition efficiency, the intelligence of ultrasonic fingerprint identification technique has been promoted.

Referring to fig. 2 in a manner consistent with the embodiment shown in fig. 1C, fig. 2 is a schematic flowchart of a fingerprint identification method provided in an embodiment of the present application, and as shown in the drawing, the method is applied to the electronic device shown in fig. 1A, where the electronic device includes an ultrasonic fingerprint identification module; the fingerprint identification method comprises the following steps:

201. through ultrasonic wave fingerprint identification module is close and is detected.

202. When detecting that it is close the object with distance between the ultrasonic fingerprint identification module is less than preset distance, acquire the target image of being close the object.

203. And carrying out contour extraction on the target image to obtain a target contour image.

204. When the target profile image meets the preset requirement, the approaching object is confirmed to be a finger, and a first fingerprint image is acquired through the ultrasonic fingerprint identification module.

205. And evaluating the image quality of the first fingerprint image to obtain an evaluation result.

206. And when the evaluation result is that the fingerprint collection fails, adjusting the working parameters of the ultrasonic fingerprint identification module to obtain target working parameters.

207. And controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, wherein the second fingerprint image is used for fingerprint identification operation.

For the detailed description of the steps 201 to 207, reference may be made to the corresponding steps of the fingerprint identification method described in the foregoing fig. 1C, and details are not repeated here.

It can be seen that the fingerprint identification method that describes in the embodiment of the application is applied to electronic equipment, and this electronic equipment includes the ultrasonic fingerprint identification module, not only can be close to the detection through the ultrasonic fingerprint identification module, when detecting the finger, carries out fingerprint image collection, can be when fingerprint collection fails, and the working parameter of adjustment ultrasonic fingerprint identification module is in order to carry out fingerprint collection once more, can promote fingerprint collection efficiency, has promoted the intelligent of ultrasonic fingerprint identification technique.

In accordance with the foregoing embodiments, please refer to fig. 3, where fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where as shown in the figure, the electronic device includes a processor, a memory, a communication interface, and one or more programs, the electronic device includes an ultrasonic fingerprint identification module, the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the programs include instructions for performing the following steps:

In one possible example, in said evaluating image quality of said first fingerprint image, obtaining an evaluation result, the above program comprises instructions for:

determining a target area corresponding to the fingerprint area image;

In one possible example, in the adjusting the working parameters of the ultrasonic fingerprint identification module to obtain the target working parameters, the program includes instructions for performing the following steps:

the program further includes instructions for performing the steps of:

adjusting the working parameters of the ultrasonic fingerprint identification module to obtain target working parameters, including:

In one possible example, the program further includes instructions for performing the steps of:

proximity detection is carried out through the ultrasonic fingerprint identification module;

when the distance between a proximity object and the ultrasonic fingerprint identification module is smaller than a preset distance, acquiring a target image of the proximity object;

carrying out contour extraction on the target image to obtain a target contour image;

and when the target profile image meets the preset requirement, confirming that the approaching object is a finger, and executing the step of acquiring a first fingerprint image through the ultrasonic fingerprint identification module.

The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Fig. 4A is a block diagram of functional units of a fingerprint identification device 400 according to an embodiment of the present application. The fingerprint identification device 400 is applied to electronic equipment, wherein the electronic equipment comprises an ultrasonic fingerprint identification module; the apparatus 400 comprises: an acquisition unit 401, an evaluation unit 402 and an adjustment unit 403, wherein,

the acquiring unit 401 is configured to acquire a first fingerprint image through the ultrasonic fingerprint identification module;

the evaluation unit 402 is configured to perform image quality evaluation on the first fingerprint image to obtain an evaluation result;

the adjusting unit 403 is configured to adjust a working parameter of the ultrasonic fingerprint identification module to obtain a target working parameter when the evaluation result indicates that fingerprint acquisition fails;

the obtaining unit 401 is further configured to control the ultrasonic fingerprint identification module to perform fingerprint acquisition according to the target working parameter, so as to obtain a second fingerprint image, where the second fingerprint image is used for fingerprint identification operation.

It can be seen that the fingerprint identification device that describes in the embodiment of the application, be applied to electronic equipment, this electronic equipment includes the ultrasonic fingerprint identification module, acquire first fingerprint image through the ultrasonic fingerprint identification module, carry out image quality evaluation to first fingerprint image, obtain the evaluation result, when the evaluation result is fingerprint acquisition failure, the working parameter of adjustment ultrasonic fingerprint identification module, obtain target working parameter, control the ultrasonic fingerprint identification module according to target working parameter and carry out fingerprint acquisition, obtain the second fingerprint image, the second fingerprint image is used for the fingerprint identification operation, therefore, can be when fingerprint acquisition fails, the working parameter of adjustment ultrasonic fingerprint identification module is in order to carry out fingerprint acquisition once more, can promote fingerprint acquisition efficiency, the intelligence of ultrasonic fingerprint identification technique has been promoted.

In one possible example, in terms of performing image quality evaluation on the first fingerprint image to obtain an evaluation result, the evaluation unit 402 is specifically configured to:

determining a target area corresponding to the fingerprint area image;

In a possible example, in the aspect of adjusting the working parameters of the ultrasonic fingerprint identification module to obtain the target working parameters, the adjusting unit 403 is specifically configured to:

In one possible example, the evaluation result further includes: a target fingerprint acquisition failure reason type; as shown in fig. 4B, fig. 4B is a further modified structure of the fingerprint identification device depicted in fig. 4A, which, compared with fig. 4A, may further include: the determining unit 404 is specifically as follows:

a determining unit 404, configured to determine, according to a mapping relationship between a preset fingerprint acquisition failure reason type and a working parameter of the ultrasonic fingerprint identification module, a working parameter to be adjusted corresponding to the target fingerprint acquisition failure reason type;

in the aspect of adjusting the working parameters of the ultrasonic fingerprint identification module to obtain target working parameters, the adjusting unit 403 is specifically configured to:

In one possible example, the evaluation result further includes: a target fingerprint acquisition failure reason type; as shown in fig. 4C, fig. 4C is a further modified structure of the fingerprint identification device depicted in fig. 4A, which, compared with fig. 4A, may further include: the detecting unit 405 and the extracting unit 406 are specifically as follows:

a detection unit 405 for performing proximity detection by the ultrasonic fingerprint identification module;

the acquiring unit 401 is configured to acquire a target image of a proximity object when it is detected that a distance between the proximity object and the ultrasonic fingerprint identification module is smaller than a preset distance;

an extracting unit 406, configured to perform contour extraction on the target image to obtain a target contour image;

and when the target contour image meets the preset requirement, the acquisition unit 401 confirms that the approaching object is a finger, and executes the step of acquiring the first fingerprint image through the ultrasonic fingerprint identification module.

It can be understood that the functions of each program module of the fingerprint identification device of this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. An electronic device, comprising a processing circuit and an ultrasonic fingerprint identification module connected to the processing circuit, wherein,

the ultrasonic fingerprint identification module is also used for controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, and the second fingerprint image is used for fingerprint identification operation;

wherein, in the aspect of performing image quality evaluation on the first fingerprint image to obtain an evaluation result, the processing circuit is specifically configured to:

extracting characteristic points of the first fingerprint image to obtain a plurality of characteristic points; carrying out image segmentation on the first fingerprint image to obtain a fingerprint area image; determining a target area corresponding to the fingerprint area image; determining the distribution density of target characteristic points corresponding to the first fingerprint image according to the target area and the plurality of characteristic points; determining a target evaluation value corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the evaluation value; when the target evaluation value is in a preset range, confirming that the evaluation result is that the fingerprint collection is successful; when the target evaluation value is not in the preset range, confirming that the evaluation result is fingerprint acquisition failure;

wherein, in adjusting the working parameter of ultrasonic fingerprint identification module, in the aspect of obtaining target working parameter, processing circuit specifically is used for:

determining a target difference value between the target evaluation value and a target value, wherein the target value is any value in the preset range; determining a target adjustment coefficient corresponding to the target difference value according to a mapping relation between a preset difference value and an adjustment coefficient; and adjusting the working parameters of the ultrasonic fingerprint identification module according to the target adjustment coefficient to obtain the target working parameters.

2. The electronic device of claim 1, wherein the evaluation result further comprises: a target fingerprint acquisition failure reason type;

the processing circuit is further specifically configured to:

3. The electronic device of any of claims 1-2, wherein,

the ultrasonic fingerprint identification module is also used for carrying out proximity detection; when the distance between the approaching object and the ultrasonic fingerprint identification module is smaller than a preset distance, acquiring a target image of the approaching object;

4. An electronic device, comprising a processing circuit and an ultrasonic fingerprint identification module connected to the processing circuit, wherein,

wherein the evaluation result further comprises: a target fingerprint acquisition failure reason type;

the processing circuit is further specifically configured to:

5. The electronic device of claim 4, wherein,

6. The fingerprint identification method is characterized by being applied to electronic equipment, wherein the electronic equipment comprises an ultrasonic fingerprint identification module; the method comprises the following steps:

controlling the ultrasonic fingerprint identification module to perform fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, wherein the second fingerprint image is used for fingerprint identification operation;

wherein, the image quality evaluation of the first fingerprint image to obtain an evaluation result comprises: extracting characteristic points of the first fingerprint image to obtain a plurality of characteristic points; carrying out image segmentation on the first fingerprint image to obtain a fingerprint area image; determining a target area corresponding to the fingerprint area image; determining the distribution density of target characteristic points corresponding to the first fingerprint image according to the target area and the plurality of characteristic points; determining a target evaluation value corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the evaluation value; when the target evaluation value is in a preset range, confirming that the evaluation result is that the fingerprint collection is successful; when the target evaluation value is not in the preset range, confirming that the evaluation result is fingerprint acquisition failure;

wherein, the adjustment the working parameter of ultrasonic fingerprint identification module obtains target working parameter, includes:

7. The method of claim 6, wherein the evaluation further comprises: a target fingerprint acquisition failure reason type;

the method further comprises the following steps:

8. The method according to any one of claims 6-7, further comprising:

9. The fingerprint identification method is characterized by being applied to electronic equipment, wherein the electronic equipment comprises an ultrasonic fingerprint identification module; the method comprises the following steps:

the method further comprises the following steps:

wherein, the adjustment the working parameter of ultrasonic fingerprint identification module obtains target working parameter, includes: and adjusting the working parameters to be adjusted to obtain the target working parameters.

10. The method of claim 9, further comprising:

11. The fingerprint identification device is characterized by being applied to electronic equipment, wherein the electronic equipment comprises an ultrasonic fingerprint identification module; the device comprises: an acquisition unit, an evaluation unit and an adjustment unit, wherein,

the acquisition unit is also used for controlling the ultrasonic fingerprint identification module to carry out fingerprint acquisition according to the target working parameters to obtain a second fingerprint image, and the second fingerprint image is used for fingerprint identification operation

Wherein,

the image quality evaluation of the first fingerprint image to obtain an evaluation result comprises the following steps: extracting characteristic points of the first fingerprint image to obtain a plurality of characteristic points; carrying out image segmentation on the first fingerprint image to obtain a fingerprint area image; determining a target area corresponding to the fingerprint area image; determining the distribution density of target characteristic points corresponding to the first fingerprint image according to the target area and the plurality of characteristic points; determining a target evaluation value corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the evaluation value; when the target evaluation value is in a preset range, confirming that the evaluation result is that the fingerprint collection is successful; when the target evaluation value is not in the preset range, confirming that the evaluation result is fingerprint acquisition failure;

wherein, the adjustment the working parameter of ultrasonic fingerprint identification module obtains target working parameter, includes: determining a target difference value between the target evaluation value and a target value, wherein the target value is any value in the preset range; determining a target adjustment coefficient corresponding to the target difference value according to a mapping relation between a preset difference value and an adjustment coefficient; and adjusting the working parameters of the ultrasonic fingerprint identification module according to the target adjustment coefficient to obtain the target working parameters.

12. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps of the method of any of claims 6-10.

13. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of the claims 6-10.