WO2024041452A1

WO2024041452A1 - Fingerprint recognition method and apparatus, electronic device and readable storage medium

Info

Publication number: WO2024041452A1
Application number: PCT/CN2023/113702
Authority: WO
Inventors: 王碧博
Original assignee: 维沃移动通信有限公司
Priority date: 2022-08-23
Filing date: 2023-08-18
Publication date: 2024-02-29
Also published as: CN115359518A

Abstract

The present application belongs to the technical field of fingerprint recognition. Disclosed are a fingerprint recognition method and apparatus, an electronic device and a readable storage medium. The method comprises: acquiring pressure-sensing data of a pressure-sensing screen at each moment among N moments, wherein N is an integer greater than 1, the N moments are located in a target time period, and the target time period is a time period during which the pressure-sensing screen is being pressed until the pressing ends; and performing fingerprint recognition on the basis of the pressure-sensing data at the N moments, so as to obtain a fingerprint recognition result.

Description

Fingerprint identification methods, devices, electronic equipment and readable storage media

Cross-references to related applications

This application claims priority from Chinese Patent Application No. 202211013902.X filed in China on August 23, 2022, the entire content of which is incorporated herein by reference.

Technical field

This application belongs to the field of fingerprint identification technology, and specifically relates to a fingerprint identification method, device, electronic equipment and readable storage medium.

Background technique

Currently, there are three main methods of fingerprint collection used in electronic devices: capacitive, optical and ultrasonic. Among them, the capacitive is mainly based on capacitive sensors. When a finger is touched, the capacitance changes, thereby obtaining a fingerprint image. . The optical type is mainly based on the screen emitting light, and the light reflected by the fingerprint penetrates the screen and reaches the optical fingerprint sensor to obtain the fingerprint image. The ultrasonic type is based on the principle of reflected waves from objects. When a finger presses the ultrasonic fingerprint module, the ultrasonic fingerprint module vibrates and emits ultrasonic pulses. After penetrating the screen and reflecting on the surface of the finger, the reflected ultrasonic waves are received and converted into electrical signals. , thereby generating a fingerprint image. After obtaining the fingerprint image, the fingerprint image is used for fingerprint recognition.

However, in the above fingerprint identification process, a fingerprint image at the current moment is collected, and fingerprint identification is performed based on this image, which may easily lead to low accuracy of fingerprint identification.

Contents of the invention

The purpose of the embodiments of the present application is to provide a fingerprint identification method, device, electronic device and readable storage medium, which can improve the accuracy of fingerprint identification.

In a first aspect, embodiments of the present application provide a fingerprint identification method, which method includes:

Obtain pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, the N moments are located within a target time period, and the target time period is from the pressure-sensitive screen The time period from being pressed to the end of pressing;

Perform fingerprint recognition based on the pressure-sensing data at the N moments to obtain a fingerprint recognition result.

In a second aspect, embodiments of the present application provide a fingerprint identification device, including:

A data acquisition module, used to acquire pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, the N moments are located within a target time period, and the target time period is from The time period from when the pressure-sensitive screen is pressed to the end of pressing;

An identification module, configured to perform fingerprint identification based on the pressure-sensing data of the N moments to obtain a fingerprint identification result.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The programs or instructions are processed by the processor. When the processor is executed, the steps of the method described in the first aspect are implemented.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In a fifth aspect, embodiments of the present application provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The communication interface is used to transmit image data. The processor is used to transmit image data. Run a program or instruction to implement the steps of the method described in the first aspect.

In a sixth aspect, embodiments of the present application provide a computer program product. The computer program product is stored in a storage medium. The computer program product is executed by at least one processor to implement the steps of the method described in the first aspect. .

In a seventh aspect, embodiments of the present application provide an electronic device configured to perform the steps of the method described in the first aspect.

In the fingerprint identification method of this embodiment, since the pressure-sensing data at N different times within the target time period from when the pressure-sensitive screen is pressed to the end of pressing can be obtained, and N is an integer greater than 1, the target time can be obtained Multiple pressure-sensing data within a segment, and each pressure-sensing data corresponds to different times, uses multiple pressure-sensing data at different times for fingerprint recognition to improve fingerprint recognition.

Description of drawings

Figure 1 is one of the flow charts of the fingerprint identification method provided by the embodiment of the present application;

Figure 2 is a schematic diagram of a pressure sensor array in a pressure-sensitive screen provided by an embodiment of the present application;

Figure 3 is a pressure change curve of a touch point provided by an embodiment of the present application;

Figure 4 is the second flow chart of the fingerprint identification method provided by the embodiment of the present application;

Figure 5 is a schematic module diagram of a fingerprint identification device provided by an embodiment of the present application;

Figure 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the figures so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in orders other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

The fingerprint identification method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios.

As shown in Figure 1, this application provides a fingerprint identification method according to an embodiment. The method can be executed by an electronic device. The method includes:

Step 101: Obtain pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, N moments are located within the target time period, and the target time period is the time period from the pressure-sensitive screen. The time period from pressing to the end of pressing.

A pressure-sensitive screen, also known as a pressure-sensitive touch screen or a pressure-sensitive touch screen, is a touch screen based on a pressure sensor array. It is understandable that the pressure sensor array can be attached to a surface of the touch screen. For example, the above-mentioned electronic device includes a touch screen and a housing. The touch screen and the housing form an inner cavity. The surface can be the side of the touch screen facing the inner cavity. The touch screen and the pressure sensor array form a pressure-sensitive screen. The touch screen and the pressure sensor array can be designed in an integrated manner. For example, the pressure sensor array of one embodiment is shown in Figure 2 and may include multiple rows and columns of pressure sensors 201 to form a pressure sensor array.

The user presses the pressure-sensitive screen, and the pressure-sensitive screen senses pressure and can obtain pressure-sensitive data. It takes a period of time for the user to press until he leaves the pressure-sensitive screen. During this period of time, as the intensity of the user's finger touch and press changes, the pressure-sensitive screen The pressure of the touch area covered by the finger changes over time, and the pressure sensitivity data obtained changes accordingly. In this embodiment, the pressure sensing data at each of N moments within the target time period can be obtained, that is, the pressure sensing data at N moments can be obtained. As an example, the time interval between adjacent moments can be a preset time period. It can be understood that within the target time period, the pressure sensing data can be obtained once every preset time period.

Compared with the capacitive, optical and ultrasonic fingerprint identification methods in this embodiment, since the pressure-sensitive screen itself can be touched and pressed at any position, any position on the pressure-sensitive screen can be touched and pressed, and the fingerprint identification method can be obtained. Pressure-sensitive data is used for fingerprint recognition, that is, the area of the fingerprint sensing area can be increased, and the user does not need to place his or her finger on a fixed fingerprint area for fingerprint collection and recognition. The user's finger can be placed anywhere on the pressure-sensitive screen. By touching and pressing, the pressure-sensitive screen can sense the pressure and obtain the corresponding pressure-sensitive data. The pressure-sensitive data of N moments can be used to realize fingerprint recognition, improving the convenience of fingerprint collection and identification.

Step 102: Perform fingerprint recognition based on the pressure-sensing data of N moments to obtain the fingerprint recognition result.

After obtaining the pressing data including the fingerprint image at each of the N moments in the target time period, the pressing data can be used for fingerprint recognition.

In the fingerprint identification method of this embodiment, since the pressure-sensing data at N different moments in the target time period from when the pressure-sensitive screen is pressed to the end of pressing can be obtained, N is an integer greater than 1, so it can be obtained Multiple pressure-sensing data within the target time period, and each pressure-sensing data corresponds to different times, uses multiple pressure-sensing data at different times for fingerprint recognition to improve fingerprint recognition. At the same time, any position on the pressure-sensitive screen can be touched and pressed to realize fingerprint collection and identification, and no additional fingerprint module is required, making the structural design of electronic devices simpler and more convenient.

In one embodiment, the pressure sensing data at N moments include at least one of the following:

Fingerprint images at N moments;

The pressure magnitude at N moments. The pressure magnitude at the target moment among the pressure magnitudes at N moments includes the pressure magnitude at each pressing point in the finger pressing area at the target moment. The target moment is any moment among the N moments;

There are finger pressing postures at N times. Among the finger pressing postures at N times, the finger pressing posture at the target time is the pressing posture of the finger pressing area at the target time.

The user presses the pressure-sensitive screen. Due to the user's pressing, the pressure sensor can perform pressure sensing and obtain pressure data, which may include, for example, pressure magnitude, etc. In this embodiment, the data at each of the N moments in the target time period can be obtained. Pressure magnitude, pressure sensing data may include pressure magnitude at N moments. As shown in Figure 3, the target time period is 8 seconds. For touch point (touch point) 1, touch point 2 and touch point 3, at the 4th second, the pressure of touch point 1 is 5, and the pressure of touch point 2 is 5. The pressure is 3, and the pressure of touch point 3 is 7. Within the target time period, the pressure of each pressing point (touch point) can be counted every 1 second, so that the pressure of each pressing point at 8 moments can be obtained. The pressure change curve of the touch point within the target time period is formed, as shown in Figure 3.

Since the same user has the same touch and pressing habits on the pressure-sensitive screen, for example, the pressing pressure will show a certain pattern, etc., in this embodiment, the pressure within the target time period can also be used for fingerprint recognition. At each of the N moments within the target time period, the user has a corresponding finger touch area on the pressure-sensitive screen. The pressure at each moment may include the pressure of each touch point in the finger touch area at that moment. .

Since the fingerprint on the surface of the finger is uneven and the finger touches the pressure-sensitive screen, the pressure on different touch points may be different, and the user's fingerprint image can be generated based on the sensed pressure. During the target period, as the strength of the user's finger touch changes, the touch area covered by the finger on the pressure-sensitive screen The pressure of the domain changes with time, and the generated fingerprint image changes accordingly. In this embodiment, fingerprint images of N moments within the target time period from when the pressure-sensitive screen is pressed to the end of pressing can be generated, and each moment corresponds to a Fingerprint images, that is, the pressure-sensitive data may include N fingerprint images.

In addition, the same user has the same touch and pressing habits on the pressure-sensitive screen. For example, the pressing finger posture will show certain patterns. For example, user A is accustomed to holding electronic devices with his right hand and is accustomed to using his right hand to tilt in the horizontal direction of the pressure-sensitive screen. The gesture of touching and pressing the screen, so in this embodiment, the finger pressing gesture (touch gesture) within the target time period can also be used to perform fingerprint recognition. At each moment, the user has a corresponding fingerprint on the pressure-sensitive screen. Finger pressing posture, pressure sensing data may include finger pressing postures at N times.

In this embodiment, during the fingerprint recognition process, at least one of N fingerprint images at different times, pressure levels at N different times, and touch gestures at N different times can be considered. In this way, the efficiency of fingerprint recognition can be improved. accuracy.

In one embodiment, the fingerprint recognition is performed based on the pressure-sensing data of the N moments to obtain a fingerprint recognition result, including:

Compare the pressure sensing data at the N moments with the preset pressure sensing data;

When the pressure-sensing data at the N moments match the preset pressure-sensing data, a fingerprint recognition result indicating that the fingerprint verification is passed is obtained.

In the process of fingerprint identification based on pressure-sensing data at N times, the pressure-sensing data at N times can be compared with the preset pressure-sensing data (pressure-sensing data that has been entered in advance) to achieve fingerprint recognition. When the pressure-sensing data matches the preset pressure-sensing data, a fingerprint recognition result indicating that the fingerprint verification is passed can be obtained. In addition, when the pressure-sensing data at N times do not match the preset pressure-sensing data, a fingerprint recognition result indicating that the fingerprint verification fails can be obtained. In this embodiment, fingerprint recognition is implemented by matching pressure-sensing data at N times with preset pressure-sensing data to improve the accuracy of fingerprint recognition.

As shown in Figure 4, in one embodiment, step 102 of performing fingerprint recognition based on pressure-sensing data of N moments and obtaining the fingerprint recognition result includes:

Step 1021: Based on the pressure sensing data at N moments, determine the changes in the pressure sensing data;

Step 1022: Perform fingerprint recognition based on the pressure-sensing data at N moments and changes in the pressure-sensing data, and obtain the fingerprint recognition result;

Among them, changes in pressure sensing data include at least one of the following:

Changes in fingerprint texture features of N fingerprint images;

Changes in pressure;

Changes in compression posture.

In this embodiment, the pressure-sensitive data at N moments can use N fingerprint images. When the user presses the screen and leaves the screen, as time changes, the area and intensity of the finger pressing the screen can change accordingly. The contact area and strength of the raised lines on the screen change accordingly. As the finger contact area and strength are different at each moment, there will be some differences in the fingerprint image obtained. There will be some differences in the characteristics of the fingerprint lines. For example, the greater the strength, the greater the contact area and strength. , the contact area between the raised lines on the finger and the screen becomes larger, the resulting image will change, and the corresponding fingerprint texture characteristics will change. Therefore, the fingerprint texture features of each fingerprint image in the N moments of fingerprint images can be extracted to obtain N fingerprint texture features. Based on the N fingerprint texture features, the changes in the fingerprint texture features of the N fingerprint images can be determined. It should be noted that fingerprint identification based on N fingerprint texture features and changes in fingerprint texture features can be based on N fingerprint texture features and changes in fingerprint texture features, and the fingerprint texture features of the user's fingerprint image that have been entered in advance. and the pre-entered changes in fingerprint texture characteristics of the user. If the fingerprint texture characteristics and changes in fingerprint texture characteristics match, it can be determined that the fingerprint identification has passed, which means that the fingerprint verification has passed. For example, when applied to screen unlocking scenarios, if the fingerprint recognition passes, the screen can be unlocked. Otherwise, if the screen unlocking fails, an unlocking failure prompt message can be output to prompt the user to re-unlock, etc.

Since the same user has the same touch and pressing habits on the pressure-sensitive screen, for example, the pressing pressure is within a certain range, and the pressing pressure changes in a certain pattern within the pressing time period, etc., for the same user, the fingerprint pattern of the obtained fingerprint image The characteristics and changes in fingerprint texture characteristics should conform to certain rules. Therefore, in this embodiment, the fingerprint texture features of each fingerprint image in the N fingerprint images can be first extracted to obtain N fingerprint texture features, and the N fingerprint texture features can be used to determine the changes in the fingerprint texture features of the N fingerprint images. , using N fingerprint texture features and fingerprint patterns Fingerprint recognition can be performed based on changes in road characteristics, which can improve the accuracy of fingerprint recognition.

In this embodiment, the pressure sensing data at N moments can also be based on the pressure magnitude at N moments. That is, the pressure magnitude changes can also be determined based on the pressure magnitude at N moments, and the pressure magnitude changes and the pressure magnitude changes can be used. To carry out fingerprint identification, compare it with the pre-entered pressure of the user and the pre-entered pressure changes. When the pressure and pressure changes both match, it can be determined that the fingerprint identification has passed, which means This fingerprint verification passed.

Since the same user has the same touch and pressing habits on the pressure-sensitive screen, for example, the pressing pressure has a certain pattern, for example, the pressing pressure is within a certain range, and within the pressing time period, the pressing pressure changes with a certain pattern, etc., for the same user Users, the pressure and pressure changes obtained should conform to certain rules. Therefore, in this embodiment, the change in pressure can be determined based on the pressure at N moments, and the fingerprint recognition can be performed using the pressure at N moments and the changes in pressure. In this way, the accuracy of fingerprint recognition can be improved.

In addition, in this embodiment, the pressure-sensing data of N moments can also use the finger pressing postures of N moments. In the process from pressing the screen to leaving the screen, the pressing posture of the finger on the screen changes as time changes. , there are some differences in the obtained finger pressing postures. Therefore, the changes in the pressing postures can be determined based on the finger pressing postures at N times. Fingerprint recognition can be performed based on the finger pressing postures at N times and changes in the pressing postures. This can be done by using N Fingerprint texture features, fingerprint texture feature changes, finger pressing postures and pressing posture changes at N moments are compared with the pre-recorded finger pressing postures of the user and pre-recorded pressing posture changes. In the finger pressing posture and If the changes in pressing postures all match, it can be determined that the fingerprint identification has passed, which means that the fingerprint verification has passed.

Since the same user has the same touch and pressing habits on the pressure-sensitive screen, for example, the pressing pressure has a certain pattern, for example, the pressing pressure is within a certain range, and within the pressing time period, the pressing pressure changes with a certain pattern, etc., for the same user The finger posture of the user touching the screen should also conform to certain rules, that is, the obtained finger pressing postures at N moments and the changes in the pressing posture should conform to certain rules. Therefore, in this embodiment, it is first determined based on the finger pressing postures at N times. According to the changes in pressing posture, the finger pressing posture and the changes in pressing posture at N times are used for fingerprint recognition. In this way, the accuracy of fingerprint recognition can be improved.

It should be noted that the pressure-sensing data at N moments can also be a combination of at least two of the fingerprint images at N moments, the pressure levels at N moments, and the finger pressing gestures at N moments. The corresponding changes in the pressure-sensing data can be It is a combination of at least two of the changes in fingerprint texture features, pressure changes and pressing posture changes of N fingerprint images. Correspondingly, in the fingerprint recognition process, fingerprint images at N times and N times can be used The combination of at least two of the pressure level and the finger pressing posture at N moments, and the combination of at least two of the changes in fingerprint texture characteristics, pressure level changes, and pressing posture changes of N fingerprint images are used for fingerprint recognition, that is, Yes, multi-dimensional data can be used for fingerprint identification to improve fingerprint identification accuracy.

For example, the pressure-sensing data may include multi-dimensional data. For example, it may include fingerprint images at N different times, pressure levels at N different times, and finger pressing postures at N different times. The pressure-sensing data is used to perform the fingerprint recognition process. , the fingerprint texture features of each fingerprint image can be extracted to obtain N fingerprint texture features, and based on the N fingerprint texture features, the changes in fingerprint texture features of N fingerprint images can be determined, and the pressure at N moments can be used to determine Determine the change in pressure and use the finger pressing posture at N moments to determine the change in pressing posture, and then use N fingerprint texture features, changes in fingerprint texture features, pressure at N moments, changes in pressure, N moments The finger pressing posture and the changes in the pressing posture are used for fingerprint recognition. In this way, during the fingerprint recognition process, not only the fingerprint texture characteristics and changes in fingerprint texture characteristics of N fingerprint images are considered, but also the pressure magnitude and pressure changes at N moments are considered. situation, and considers the finger pressing posture and pressing posture changes at N moments, which can improve the accuracy of fingerprint recognition.

In the fingerprint identification method of the embodiment of the present application, the user's pressure sensitivity data can be pre-entered. The pre-entered pressure sense data can include but is not limited to the user's pressure change trend from pressing to lifting, fingerprint change trend, and finger posture change. Trends, etc., can record the user's usage habits. When the user touches and presses on the pressure-sensitive screen, the pressure-sensitive data during this period can be extracted and matched with the pre-entered pressure-sensitive data. In this way, the user's Use habits for better matching and improve The accuracy of fingerprint recognition can improve the unlocking success rate when applied to unlocking scenarios. In addition, the pressure-sensing data obtained can include data such as fingerprint images, pressure levels, and finger pressing postures within the target time period. That is, it includes many types of data. Using it for fingerprint recognition can improve the accuracy of fingerprint recognition. It can improve the security and reliability of fingerprint recognition, reduce the False Accept Rate (FAR) and False Reject Rate (FRR), and improve anti-counterfeiting and other performances.

For the fingerprint identification method provided by the embodiment of the present application, the execution subject may be a fingerprint identification device. In the embodiment of the present application, a fingerprint identification device performing a fingerprint identification method is used as an example to illustrate the fingerprint identification device provided by the embodiment of the present application.

As shown in Figure 5, an embodiment of a fingerprint identification device 500 is provided, which can be used in electronic devices. The device 500 includes:

The data acquisition module 501 is used to obtain pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, the N moments are located within a target time period, and the target time period is from the pressure-sensitive screen. The time period from being pressed to the end of pressing;

The identification module 502 is used to perform fingerprint identification based on the pressure-sensing data of N times to obtain fingerprint identification results.

In one embodiment, the identification module 502 includes:

A comparison module, used to compare the pressure-sensing data of the N moments with the preset pressure-sensing data;

The recognition result acquisition module is configured to obtain a fingerprint recognition result indicating that the fingerprint verification has passed when the pressure-sensing data at the N moments match the preset pressure-sensing data.

Fingerprint images at N moments;

In one embodiment, the identification module 502 includes:

The first determination module is used to determine the changes in pressure sensing data based on the pressure sensing data at N moments;

The fingerprint identification submodule is used to perform fingerprint identification based on the pressure-sensing data at N moments and the changes in the pressure-sensing data;

Changes in fingerprint texture features of N fingerprint images;

Changes in pressure;

Changes in compression posture.

The fingerprint identification device in the embodiment of the present application may be an electronic device or a component in the electronic device, such as an integrated circuit or chip. The electronic device can be a terminal or other devices other than the terminal. The electronic device can be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a Mobile Internet Device (MID), or an augmented reality device. (augmented reality, AR)/virtual reality (VR) equipment, robots, wearable devices, ultra-mobile personal computers (ultra-mobile personal computers, UMPC), netbooks or personal digital assistants (personal digital assistant, PDA), etc. , it can also be a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which are not specifically limited in the embodiments of this application.

The fingerprint identification device in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The fingerprint identification device provided by the embodiments of the present application can implement various processes implemented by the above-mentioned fingerprint identification method embodiments. For example, it can implement various processes implemented by the method embodiments of the present application. To avoid duplication, they will not be described again here.

Optionally, as shown in Figure 6, this embodiment of the present application also provides an electronic device 600, including a processor 601 and a memory 602. The memory 602 stores programs or instructions that can be run on the processor 601, and the program or instructions are When the processor 601 is executed, each step of the above fingerprint identification method embodiment is implemented, and the same technical effect can be achieved. To avoid duplication, the details will not be described here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 7 is a schematic diagram of the hardware structure of an electronic device that implements an embodiment of the present application.

The electronic device 700 includes but is not limited to: radio frequency unit 701, network module 702, audio output unit 703, input unit 704, sensor 705, display unit 706, user input unit 707, interface unit 708, memory 709, processor 710, etc. part.

Those skilled in the art can understand that the electronic device 700 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 710 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 7 does not constitute a limitation on the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

Among them, the processor 710 is used to obtain pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, the N moments are located within a target time period, and the target time period is from the pressure-sensing time period. The time period from when the screen is pressed to the end of pressing;

The processor 710 is configured to perform fingerprint recognition based on the pressure-sensing data of N moments.

In one embodiment, the processor 710 is specifically configured to compare the pressure sensing data of the N moments with the preset pressure sensing data;

Fingerprint images at N moments;

In one embodiment, processor 710 is used to:

Based on the pressure-sensing data at N moments, determine the changes in the pressure-sensing data;

Perform fingerprint recognition based on pressure-sensing data at N moments and changes in pressure-sensing data;

Changes in fingerprint texture features of N fingerprint images;

Changes in pressure;

Changes in compression posture.

In one embodiment, the finger pressing posture at the target moment among the N moments is determined in the following way:

Obtain the direction of the force at the target moment, where the force is the force of the finger acting on the pressure-sensitive screen and parallel to the pressure-sensitive screen, and the target moment is any moment among N moments;

According to the direction of the force at the target moment, the finger pressing posture at the target moment is determined.

It should be understood that in the embodiment of the present application, the input unit 704 may include a graphics processor (Graphics Processing Unit, GPU) 7041 and a microphone 7042. The graphics processor 7041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 706 may include a display panel 7061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 707 includes a touch panel 7071 and at least one of other input devices 7072 . Touch panel 7071, also called touch screen. The touch panel 7071 may include two parts: a touch detection device and a touch controller. Other input devices 7072 may include but are not limited to physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

The memory 709 can be used to store software programs and various data. The memory 709 can mainly include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area can store an operating system and at least one function. Required applications or instructions (such as sound playback function, image playback function, etc.), etc. Additionally, memory 709 may include volatile memory or non-volatile memory, or memory 709 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), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), 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, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 709 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

Processor 710 may include one or more processing units; optionally including, but not limited to, application programs and operating systems. The processor 710 can integrate an application processor and a modem processor, where the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communications. It can be understood that the above-mentioned modem processor may not be integrated into the processor 710.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by the processor, each process of the above fingerprint identification method embodiment is implemented, and the same technology can be achieved. The effect will not be described here in order to avoid repetition.

Wherein, the processor is the processor in the electronic device in the above embodiment. Readable storage media includes computer-readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disks or optical disks.

An embodiment of the present application further provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The communication interface is used to transmit image data. The processor is used to run programs or instructions to implement each of the above fingerprint identification method embodiments. The process can achieve the same technical effect. To avoid repetition, it will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

Embodiments of the present application provide a computer program product, which is stored in a storage medium , the program product is executed by at least one processor to implement each process of the above fingerprint identification method embodiment, and can achieve the same technical effect. To avoid duplication, the details will not be described here.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , optical disk), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims

A fingerprint identification method, the method includes:

Obtain pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, and the N moments are located within a target time period, and the target time period is from the time the pressure-sensitive screen is viewed. The time period from pressing to the end of pressing;

Perform fingerprint recognition based on the pressure-sensing data at the N moments to obtain a fingerprint recognition result.
The method according to claim 1, wherein the fingerprint recognition is performed based on the pressure-sensitive data of the N moments to obtain the fingerprint recognition result, including:

Compare the pressure sensing data at the N moments with the preset pressure sensing data;

When the pressure-sensing data at the N moments match the preset pressure-sensing data, a fingerprint recognition result indicating that the fingerprint verification is passed is obtained.
The method according to claim 1, wherein the pressure sensing data of the N moments include at least one of the following:

Fingerprint images at the N moments;

The pressure magnitude at the N moments, the pressure magnitude at the target moment among the pressure magnitudes at the N moments includes the pressure magnitude at each pressing point in the finger pressing area at the target moment;

The finger pressing postures at the N times, the finger pressing posture at the target time among the N finger pressing postures at the time is the pressing posture of the finger pressing area at the target time;

Wherein, the target time is any time among the N times.
The method according to claim 3, wherein said performing fingerprint recognition based on the pressure-sensing data of the N moments and obtaining the fingerprint recognition result includes:

Based on the pressure-sensing data at the N moments, determine the changes in the pressure-sensing data;

Perform fingerprint recognition based on the pressure-sensing data at the N moments and changes in the pressure-sensing data to obtain the fingerprint recognition result;

Wherein, the pressure sensing data changes include at least one of the following:

Changes in fingerprint texture characteristics of the N fingerprint images;

Changes in pressure;

Changes in compression posture.
A fingerprint identification device, the device includes:

A data acquisition module, used to acquire pressure-sensing data at each of N moments on the pressure-sensitive screen, where N is an integer greater than 1, the N moments are located within a target time period, and the target time period is from The time period from when the pressure-sensitive screen is pressed to the end of pressing;

An identification module, configured to perform fingerprint identification based on the pressure-sensing data of the N moments to obtain a fingerprint identification result.
The device according to claim 5, wherein the identification module includes:

A comparison module, used to compare the pressure-sensing data of the N moments with the preset pressure-sensing data;

The recognition result acquisition module is configured to obtain a fingerprint recognition result indicating that the fingerprint verification has passed when the pressure-sensing data at the N moments match the preset pressure-sensing data.
The device of claim 6, wherein:

The pressure sensing data at the N moments include at least one of the following:

Fingerprint images at the N moments;

The pressure magnitude at the N moments, the pressure magnitude at the target moment among the pressure magnitudes at the N moments includes the pressure magnitude at each pressing point in the finger pressing area at the target moment;

The finger pressing postures at the N times, the finger pressing posture at the target time among the N finger pressing postures at the time is the pressing posture of the finger pressing area at the said time;

Wherein, the target time is any time among the N times.
The device according to claim 7, wherein the identification module includes:

A first determination module, configured to determine changes in pressure sensing data based on the pressure sensing data at the N moments;

A fingerprint identification submodule, configured to perform fingerprint identification based on the pressure-sensing data at the N moments and changes in the pressure-sensing data to obtain the fingerprint identification result;

Wherein, the pressure sensing data changes include at least one of the following:

Changes in fingerprint texture characteristics of the N fingerprint images;

Changes in pressure;

Changes in compression posture.
An electronic device, including a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, the implementation of any one of claims 1-4 is achieved. The steps of the fingerprint identification method.
A readable storage medium on which a program or instructions are stored. When the program or instructions are executed by a processor, the steps of the fingerprint identification method according to any one of claims 1 to 4 are implemented.
A chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement fingerprint identification according to any one of claims 1-4 Method steps.
A computer program product, which is executed by at least one processor to implement the steps of the fingerprint identification method according to any one of claims 1-4.
An electronic device configured to perform the steps of the fingerprint identification method according to any one of claims 1-4.