WO2021218466A1

WO2021218466A1 - Method for verifying user identity, and electronic device and system

Info

Publication number: WO2021218466A1
Application number: PCT/CN2021/081039
Authority: WO
Inventors: 林嵩晧; 阙鑫地; 林于超; 张舒博; 郑理文
Original assignee: 华为技术有限公司
Priority date: 2020-04-29
Filing date: 2021-03-16
Publication date: 2021-11-04
Also published as: CN111651742A

Abstract

A method for verifying a user identity, and an electronic device and a system. The method comprises: an electronic device converting original data of a biological feature of a user using the electronic device into biological feature data which differs in privacy level from that of the original data of the biological feature of the user, and sending the biological feature data, after conversion, to the other electronic device, such that the other electronic device matches the biological feature data, which is sent by the electronic device, after conversion, so as to obtain a verification result, and sends the verification result to the electronic device, thereby completing identity verification of the user of the electronic device. Therefore, the transmission of the original data of the biological feature of the user between the devices is avoided, the leakage of the original data of the biological feature of the user is prevented, and the user experience is improved.

Description

Method, electronic device and system for verifying user identity

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on April 29, 2020, the application number is 202010359221.3, and the application name is "Methods, Electronic Equipment and Systems for Verifying User Identity", the entire contents of which are incorporated by reference In this application.

Technical field

This application relates to the field of information processing, and more specifically, to methods, electronic devices, and systems for verifying user identities.

Background technique

Biometric identification technology refers to a technology that uses human biological characteristics for identification. To be more specific, the biometric identification technology is to use computers and high-tech methods such as optics, acoustics, biosensors, and biostatistics to identify personal identity by using the inherent physiological characteristics and behavioral characteristics of the human body.

Before the device uses the biometric technology to authenticate the user who uses the device, it will first sample the biometric characteristics of the user who uses the device, extract the characteristics that uniquely identify the user and convert them into digital codes, and further combine these codes Obtain the feature template; when the device verifies the user's identity, the original data of the user's biometrics is obtained, and the obtained user's biometrics are compared with the feature template in the database of the biometric identification device to determine whether Match to determine whether to complete the user's identity verification.

In the prior art, for example, some of the biological characteristics of the first electronic device itself cannot be used, and the second electronic device needs to be used to identify the user who uses the first electronic device, or the biological characteristics of the first electronic device The identification function can be used, and the second electronic device needs to be used to identify the user who uses the first electronic device again. The first electronic device sends the collected original data of the user’s first biological characteristics to the second electronic device. The electronic device will perform identity verification on the first biological feature, thereby completing the identity verification of the user who uses the first electronic device. However, what is transmitted between the first electronic device and the second electronic device is the original data of the user's first biometrics. Since the original data of the user's first biometrics belongs to high-privacy data, this will cause the user's high-privacy data to be compromised. Give way.

Summary of the invention

This application provides a method, electronic device, and system for verifying user identity. The electronic device converts the original biometric data of the user who uses the electronic device into biometric data with a privacy level different from the original biometric data of the user. The converted biometric data is sent to another electronic device, so that the other electronic device matches the converted biometric data sent by the electronic device to obtain the verification result, and sends the verification result to the electronic device, thereby completing the The identity verification of the user of the electronic device avoids the transmission of the original biometric data of the user between the devices, prevents the original biometric data of the user from leaking, and improves the user experience.

In a first aspect, a system is provided. The system includes a first electronic device and a second electronic device, wherein the first electronic device is configured to establish a network connection with the second electronic device, and the network connection Used to transmit data; the first electronic device is also used to convert the user's first biometric data into second biometric data, the second biometric data and the first biometric data have different privacy levels The first electronic device is also used to send the second biometric data to the second electronic device; the second electronic device is used to perform the second biometric data on the user Verify, and obtain a verification result; the second electronic device is also used to send the verification result to the first electronic device.

The user is a user currently using the first electronic device.

In some possible implementation manners, the first biometric data belongs to high privacy data, and the second biometric data belongs to low privacy data. Wherein, the first biometric data belongs to high privacy data, and the second biometric data belongs to low privacy data. It can be understood that the first biometric data is relative to the second biometric data. The biological characteristics belong to high-privacy data, and the second biological characteristics belong to low-privacy data. Exemplarily, the first biometric feature may be face image data, and the second biometric feature data may be gender data. Compared with face image data, the privacy level of gender data is lower than that of face image data. Privacy level.

In other possible implementation manners, the first biometric data belongs to low privacy data, and the second biometric data belongs to high privacy data. The first biometric data belongs to low privacy data, and the second biometric data belongs to high privacy data. It can be understood that the first biometric data is relative to the second biometric data. The biological characteristics belong to low-privacy data, and the second biological characteristics belong to high-privacy data. Exemplarily, the second biometric data may be data obtained by encrypting the first biometric data. For example, with respect to fingerprint data, the privacy level of encrypted fingerprint data is higher than that of fingerprint data.

In the embodiment of the present application, the first electronic device converts the original biometric data of the user who uses the first electronic device into biometric data with a privacy level different from the original biometric data of the user, and converts the converted The biometric data is sent to the second electronic device, so that the second electronic device matches the converted biometric data sent by the first electronic device to obtain a verification result, and sends the verification result to the first electronic device, thereby completing the pairing The identity verification of the user of the first electronic device avoids the transmission of the original data of the user's biometrics between devices, prevents the original data of the user's biometrics from leaking, and improves the user experience.

With reference to the first aspect, in some implementations of the first aspect, the second electronic device is further configured to establish a trusted relationship or an association relationship with the first electronic device.

In some possible implementations, the existence of a trusted relationship or an association relationship between the first electronic device and the second electronic device can be understood as the first electronic device is a trusted device of the second electronic device Or, the second electronic device is a trusted device of the first electronic device.

In other possible implementation manners, the existence of a trusted relationship or an association relationship between the first electronic device and the second electronic device can be understood as the first electronic device and the second electronic device are mutually compatible. Letter equipment.

With reference to the first aspect, in some implementations of the first aspect, the first electronic device further configured to convert the first biometric data of the user into the second biometric data includes: the first electronic device, It is also used to perform dimensionality reduction processing on the first biometric data to obtain the second biometric data.

Dimensionality reduction can be understood as mapping from one dimensional space to another dimensional space.

Specifically, the first electronic device includes a biometrics conversion module, and the first biometric data is input into the biometrics conversion module of the first electronic device, and the biometrics conversion module of the first electronic device can pass an algorithm Performing dimensionality reduction processing on the first biometric data to obtain the second biometric data. Exemplarily, the first electronic device collects face image data of a user who uses the first electronic device, and inputs it into the biometric conversion module of the first electronic device, and the biometric conversion module of the first electronic device uses the facial gender recognition algorithm Dimensionality reduction processing is performed on the face image data of the user who uses the first electronic device to obtain the gender data of the user, and the gender data of the user is the second biometric data.

With reference to the first aspect, in some implementations of the first aspect, the first electronic device further configured to convert the first biometric data of the user into the second biometric data includes: the first electronic device, It is also used to perform privacy removal processing on the first biometric data, and perform dimensionality reduction processing on the biometric data after the privacy removal processing to obtain the second biometric data.

Specifically, the first electronic device includes a privacy removal processing module and a biometrics conversion module, the first biometric data is input into the privacy removal module of the first electronic device, and the privacy removal module of the first electronic device The first biometric data can be deprived of privacy by a deprivation algorithm, and the deprived of privacy processed biometric data can be input into the biometric conversion module of the first electronic device, and the biometric conversion module of the first electronic device The second biometric data can be obtained by performing dimensionality reduction processing on the biometric data after deprivation processing by a dimensionality reduction processing algorithm. Exemplarily, the first electronic device collects the face image data of the user who uses the first electronic device, and inputs it into the privacy removal module of the first electronic device, and the privacy removal module of the first electronic device uses the facial features recognition algorithm to use the first electronic device. The face image data of a user of an electronic device is subjected to privacy processing to obtain the user’s ear image data, and the ear image data is input into the biometric conversion module of the first electronic device, and the biometric conversion module of the first electronic device passes the ear The gender discrimination algorithm performs dimensionality reduction processing on the ear image data of the user who uses the first electronic device to obtain the gender data of the user, and the gender data of the user is the second biometric data.

With reference to the first aspect, in some implementations of the first aspect, the second electronic device is further specifically configured to match the second biometric data; when the second electronic device is not matched to the In the case of the second biometric data, the second electronic device determines that the verification result does not pass the user's verification.

With reference to the first aspect, in some implementations of the first aspect, when the second electronic device matches the second biometric data, the second electronic device is further specifically configured to: determine Whether the second biometric data is gender data; in the case that the second biometric data is gender data, it is determined that the verification result is verified by the user; when the second biometric data is not gender data In the case of, the verification result is determined according to the score of the second biometric data by the second electronic device.

With reference to the first aspect, in some implementations of the first aspect, the second electronic device is further specifically configured to: when the score of the second biometric data is higher than or equal to a preset value, determine The verification result is verified by the user; in a case where the score of the second biometric data is lower than the preset value, it is determined that the verification result is not verified by the user.

With reference to the first aspect, in some implementations of the first aspect, the second electronic device is further specifically configured to: determine the score of the second biometric data according to the historical data of the user, and The weight corresponding to the second biometric data and the score of the second biometric data are used to determine the score of the second biometric data.

With reference to the first aspect, in some implementations of the first aspect, the first electronic device is further configured to display an unlocked interface when the verification result is verified by the user.

With reference to the first aspect, in some implementation manners of the first aspect, the first electronic device is further configured to: The content requested by the user is displayed on the interface.

With reference to the first aspect, in some implementations of the first aspect, the first biometric data is physical biometric data or behavioral biometric data; the second biometric data is soft biometric data, and/or , The second biological characteristic is digitized biological characteristic data.

With reference to the first aspect, in some implementations of the first aspect, the physical biological characteristics include: face data, fingerprint data, iris data, retinal data, deoxyribonucleic acid DNA data, skin data, hand shape data, or Vein data; or, the behavioral biometric data includes: voiceprint data, signature data, or gait data; or, the soft biometric data includes: gender data, age data, height data, hair color data, pupil color Data, skin color data, tattoo data, stride habit data, dialect data or weight data; or, the digitized biometric data includes: facial features ratio data, high-frequency quantitative data, low-frequency quantitative data, fingerprint feature point quantitative data, Fingerprint complexity data or high-density fingerprint distribution area data.

In a second aspect, a method for verifying user identity is provided, the method is applied to a first electronic device, and the method includes: establishing a network connection between the first electronic device and the second electronic device, and the network connection is used for Transmitting data; the electronic device converts the user's first biometric data into second biometric data, and the privacy levels of the second biometric data and the first biometric data are different; the first electronic device sends The second electronic device sends the second biometric data; the electronic device receives the verification result obtained by the second electronic device verifying the user according to the second biometric.

With reference to the second aspect, in some implementation manners of the second aspect, the first electronic device and the second electronic device establish a trusted relationship or an association relationship.

With reference to the second aspect, in some implementations of the second aspect, the first electronic device converting the first biometric data of the user into the second biometric data includes: The second biological characteristic data is obtained by performing dimensionality reduction processing on a biological characteristic data.

With reference to the second aspect, in some implementations of the second aspect, the first electronic device converting the first biometric data of the user into the second biometric data includes: the first electronic device responds to the first biometric data. The biological characteristic data is subjected to privacy removal processing, and the biological characteristic data after the privacy removal processing is subjected to dimensionality reduction processing to obtain the second biological characteristic data.

With reference to the second aspect, in some implementation manners of the second aspect, the method further includes: in a case where the verification result is that the user's verification is passed, the first electronic device displays an unlocked interface.

With reference to the second aspect, in some implementations of the second aspect, the method further includes: the first electronic device displays the content requested by the user on the interface of the electronic device.

With reference to the second aspect, in some implementations of the second aspect, the first biometric data is physical biometric data or behavioral biometric data; the second biometric data is soft biometric data, and/or , The second biological characteristic is digitized biological characteristic data.

With reference to the second aspect, in some implementations of the second aspect, the physical biological characteristics include: face data, fingerprint data, iris data, retinal data, deoxyribonucleic acid DNA data, skin data, hand shape data, or Vein data; or, the behavioral biometric data includes: voiceprint data, signature data, or gait data; or, the soft biometric data includes: gender data, age data, height data, hair color data, pupil color Data, skin color data, tattoo data, stride habit data, dialect data or weight data; or, the digitized biometric data includes: facial features ratio data, high-frequency quantitative data, low-frequency quantitative data, fingerprint feature point quantitative data, Fingerprint complexity data or high-density fingerprint distribution area data.

In a third aspect, a method for verifying user identity is provided, the method includes: establishing a network connection between the second electronic device and the first electronic device, and the network connection is used to transmit data; and the second electronic device receives The second biometric data sent by the first electronic device, where the second biometric data is converted by the first electronic device according to the first biometric data, and the second biometric data and the first biometric data The privacy level of the characteristic data is different; the second electronic device verifies the user according to the second biometric data, and obtains a verification result; the second electronic device sends the verification result to the first An electronic device.

With reference to the third aspect, in some implementation manners of the third aspect, the second electronic device and the first electronic device establish a trusted relationship or an association relationship.

With reference to the third aspect, in some implementation manners of the third aspect, the second electronic device verifies the user according to the second biological feature, and obtains the verification result including: the second electronic device pairs The second biometric data is matched; in the case that the second electronic device does not match the second biometric data, the second electronic device determines that the verification result is that the user's verification is not passed .

With reference to the third aspect, in some implementation manners of the third aspect, the second electronic device verifies the user according to the second biological characteristics, and obtains the verification result further includes: When the device matches the second biometric data, the second electronic device determines whether the second biometric data is gender data; in the case that the second biometric data is gender data, the second electronic device The second electronic device determines that the verification result is the verification of the user; in the case that the second biometric data is not gender data, the second electronic device checks the second electronic device according to the second electronic device. The score of the biometric data determines the verification result.

With reference to the third aspect, in some implementations of the third aspect, the second electronic device determines the verification result according to the score of the second electronic device on the second biometric data, including: In the case that the score of the second biometric data is higher than or equal to the preset value, it is determined that the verification result is verified by the user; in the case that the score of the second biometric data is lower than the preset value Next, it is determined that the verification result is that the user's verification is not passed.

With reference to the third aspect, in some implementations of the third aspect, the method further includes: determining the score of the second biometric data according to the historical data of the user, and according to the second biometric data The corresponding weight and the score of the second biometric data determine the score of the second biometric data.

With reference to the third aspect, in some implementations of the third aspect, the first biometric data is physical biometric data or behavioral biometric data; the second biometric data is soft biometric data, and/or , The second biological characteristic is digitized biological characteristic data.

With reference to the third aspect, in some implementations of the third aspect, the physical biological characteristics include: face data, fingerprint data, iris data, retinal data, deoxyribonucleic acid DNA data, skin data, hand shape data, or Vein data; or, the behavioral biometric data includes: voiceprint data, signature data, or gait data; or, the soft biometric data includes: gender data, age data, height data, hair color data, pupil color Data, skin color data, tattoo data, stride habit data, dialect data or weight data; or, the digitized biometric data includes: facial features ratio data, high-frequency quantitative data, low-frequency quantitative data, fingerprint feature point quantitative data, Fingerprint complexity data or high-density fingerprint distribution area data.

In a fourth aspect, a device is provided, the device is included in an electronic device, and the device has the function of realizing the behavior of the first electronic device in the foregoing second aspect and possible implementation manners of the foregoing second aspect. The function can be realized by hardware, or can be realized by hardware executing corresponding software. The hardware or software includes one or more modules or units corresponding to the above-mentioned functions.

In a fifth aspect, a device is provided, the device is included in an electronic device, and the device has the function of realizing the behavior of the second electronic device in the foregoing third aspect and possible implementation manners of the foregoing third aspect. The function can be realized by hardware, or the corresponding software can be executed by hardware. The hardware or software includes one or more modules or units corresponding to the above-mentioned functions.

In a sixth aspect, a device is provided, the device includes: a communication module, the communication module is used to establish a network connection with another device, the network connection is used to transmit data; a biometric conversion module The first biometric data of the user is converted into the second biometric data of the target user, and the privacy level of the second biometric data of the target user and the first biometric data of the target user are different; a template generation module, The second biometric data of the target user is used to generate a second biometric data template; the communication module is also used to receive the second biometric data sent by the another device, the second biometric data Is converted by the other device according to the first biometric data; the biometric verification module is used to verify the user according to the second biometric data template and the second biometric data, and obtain Verification result; a communication module, which is also used to send the verification result to the other device.

With reference to the sixth aspect, in some implementation manners of the sixth aspect, the device and the another device establish a trusted relationship or an association relationship.

With reference to the sixth aspect, in some implementations of the sixth aspect, the biometric verification module is configured to verify the user according to the second biometric data template and the second biometric data, And obtaining the verification result includes: the biometric verification module is further specifically configured to match the second biometric data template with the second biometric data; the second biometric data template does not match In the case of the second biometric data, it is determined that the verification result does not pass the verification of the user.

With reference to the sixth aspect, in some implementations of the sixth aspect, the biometric verification module is configured to verify the user according to the second biometric data template and the second biometric data, And obtaining the verification result further includes: determining whether the second biometric data is gender data in the case that the second biometric data template is matched with the second biometric data; in the second biometric data template; In the case that the data is gender data, it is determined that the verification result is verified by the user; in the case that the second biometric data is not gender data, the second biometric data is verified by the biometric verification module. The score of the data determines the verification result.

With reference to the sixth aspect, in some implementations of the sixth aspect, the biometric verification module is configured to verify the user according to the second biometric data template and the second biometric data, And obtaining the verification result further includes: in the case that the score of the second biometric data is higher than or equal to the preset value, determining that the verification result is verified by the user; In a case where the score is lower than the preset value, it is determined that the verification result is that the user's verification is not passed.

With reference to the sixth aspect, in some implementations of the sixth aspect, the biometric verification module is further configured to: determine the score of the second biometric data according to the historical data of the user, and according to the first The weight corresponding to the second biometric data and the score of the second biometric data are used to determine the score of the second biometric data.

With reference to the sixth aspect, in some implementations of the sixth aspect, the first biometric data is physical biometric data or behavioral biometric data; the second biometric data is soft biometric data, and/or , The second biological characteristic is digitized biological characteristic data.

With reference to the sixth aspect, in some implementations of the sixth aspect, the physical biological characteristics include: face data, fingerprint data, iris data, retinal data, deoxyribonucleic acid DNA data, skin data, hand shape data, or Vein data; or, the behavioral biometric data includes: voiceprint data, signature data, or gait data; or, the soft biometric data includes: gender data, age data, height data, hair color data, pupil color Data, skin color data, tattoo data, stride habit data, dialect data or weight data; or, the digitized biometric data includes: facial features ratio data, high-frequency quantitative data, low-frequency quantitative data, fingerprint feature point quantitative data, Fingerprint complexity data or high-density fingerprint distribution area data.

In a seventh aspect, a first electronic device is provided, including: one or more processors; a memory; and one or more computer programs. Among them, one or more computer programs are stored in the memory, and the one or more computer programs include instructions. When the instruction is executed by the electronic device, the electronic device is caused to execute the method for verifying user identity in the foregoing second aspect and the possible implementation of the foregoing second aspect.

In an eighth aspect, a second electronic device is provided, including one or more processors and one or more memories. The one or more memories are coupled with one or more processors, and the one or more memories are used to store computer program codes. The computer program codes include computer instructions. When the one or more processors execute the computer instructions, the electronic device executes The method for verifying user identity in the foregoing third aspect and possible implementation manners of the foregoing third aspect.

In a ninth aspect, a computer storage medium is provided, including computer instructions, which when the computer instructions run on an electronic device, cause the electronic device to execute the possible implementations of the second aspect to the third aspect and the second aspect to the third aspect. The method of verifying the identity of the user in the method.

In a tenth aspect, a computer program product is provided. When the computer program product runs on an electronic device, the electronic device executes any of the possible implementations of the second aspect to the third aspect and the second aspect to the third aspect. The method of verifying the user's identity.

In an eleventh aspect, a system chip is provided. The system chip includes an input and output interface and at least one processor. The operation of the method in the possible implementation of the second aspect to the third aspect.

Optionally, the system chip may further include at least one memory and a bus, and the at least one memory is used to store instructions executed by the processor.

Description of the drawings

FIG. 1 is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application.

Fig. 2 is a schematic diagram of the software structure of an electronic device provided by an embodiment of the present application.

Fig. 3 is a schematic diagram of a method for verifying user identity according to an embodiment of the present application.

Fig. 4 is a schematic diagram of an application scenario of an embodiment of the present application.

Fig. 5 is a schematic flowchart of a method for verifying user identity provided by an embodiment of the present application.

FIG. 6 is a schematic diagram of acquiring a second biological feature by a first electronic device according to an embodiment of the present application.

FIG. 7 is a schematic diagram of another first electronic device acquiring a second biological feature according to an embodiment of the present application.

FIG. 8 is a schematic structural diagram of a first electronic device provided by an embodiment of the present application.

FIG. 9 is a schematic structural diagram of a second electronic device provided by an embodiment of the present application.

Detailed ways

The technical solution in this application will be described below in conjunction with the accompanying drawings.

The following describes electronic devices and embodiments using such electronic devices. In some embodiments, the electronic device may be a portable electronic device that also contains other functions such as a personal digital assistant and/or a music player function, such as a mobile phone, a tablet computer, and a wearable electronic device with wireless communication function (such as a smart watch) Wait. Exemplary embodiments of portable electronic devices include, but are not limited to, carrying

Or portable electronic devices with other operating systems. The aforementioned portable electronic device may also be other portable electronic devices, such as a laptop computer (Laptop) and the like. It should also be understood that, in some other embodiments, the above-mentioned electronic device may not be a portable electronic device, but a desktop computer.

Exemplarily, FIG. 1 is a schematic structural diagram of an example of an electronic device provided by an embodiment of the present application.

The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, and an antenna 2. , Mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, earphone jack 170D, sensor module 180, buttons 190, motor 191, indicator 192, camera 193, display screen 194, and Subscriber identification module (subscriber identification module, SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light Sensor 180L, bone conduction sensor 180M, etc.

It can be understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may include more or fewer components than those shown in the figure, or combine certain components, or split certain components, or arrange different components. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU) Wait. Among them, the different processing units may be independent devices or integrated in one or more processors.

The controller may be the nerve center and command center of the electronic device 100. The controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching instructions and executing instructions.

A memory may also be provided in the processor 110 to store instructions and data. In some embodiments, the processor 110 may include one or more interfaces, for example, the interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, and pulse Code modulation (PCM) interface, universal asynchronous receiver/transmitter (UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (general-purpose input/ output, GPIO) interface, subscriber identity module (SIM) interface, and/or universal serial bus (USB) interface, etc.

The I2C interface is a bidirectional synchronous serial bus, which includes a serial data line (SDA) and a serial clock line (SCL). In some embodiments, the processor 110 may include multiple sets of I2C buses. The processor 110 may be coupled to the touch sensor 180K, charger, flash, camera 193, etc., respectively through different I2C bus interfaces. For example, the processor 110 may couple the touch sensor 180K through an I2C interface, so that the processor 110 and the touch sensor 180K communicate through the I2C bus interface to implement the touch function of the electronic device 100.

The MIPI interface can be used to connect the processor 110 with the display screen 194, the camera 193 and other peripheral devices. The MIPI interface includes a camera serial interface (camera serial interface, CSI), a display serial interface (display serial interface, DSI), and so on. In some embodiments, the processor 110 and the camera 193 communicate through a CSI interface to implement the shooting function of the electronic device 100. The processor 110 and the display screen 194 communicate through a DSI interface to realize the display function of the electronic device 100.

The USB interface 130 is an interface that complies with the USB standard specification, and specifically may be a Mini USB interface, a Micro USB interface, a USB Type C interface, and so on. The USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transfer data between the electronic device 100 and peripheral devices. It can also be used to connect earphones and play audio through earphones. This interface can also be used to connect other electronic devices, such as AR devices.

It can be understood that the interface connection relationship between the modules illustrated in the embodiment of the present application is merely a schematic description, and does not constitute a structural limitation of the electronic device 100. In other embodiments of the present application, the electronic device 100 may also adopt different interface connection modes in the foregoing embodiments, or a combination of multiple interface connection modes.

The charging management module 140 is used to receive charging input from the charger. Among them, the charger can be a wireless charger or a wired charger. The power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, the internal memory 121, the external memory, the display screen 194, the camera 193, and the wireless communication module 160. The power management module 141 can also be used to monitor parameters such as battery capacity, battery cycle times, and battery health status (leakage, impedance).

The wireless communication function of the electronic device 100 can be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor, and the baseband processor.

The antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals. The mobile communication module 150 can provide a wireless communication solution including 2G/3G/4G/5G and the like applied to the electronic device 100. The modem processor may include a modulator and a demodulator. Among them, the modulator is used to modulate the low frequency baseband signal to be sent into a medium and high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing. After the low-frequency baseband signal is processed by the baseband processor, it is passed to the application processor. The application processor outputs a sound signal through an audio device (not limited to the speaker 170A, the receiver 170B, etc.), or displays an image or video through the display screen 194. The wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), and global navigation satellites. System (global navigation satellite system, GNSS), frequency modulation (FM), near field communication (NFC), infrared technology (infrared, IR) and other wireless communication solutions.

The electronic device 100 implements a display function through a GPU, a display screen 194, an application processor, and the like. The GPU is an image processing microprocessor, which is connected to the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations and is used for graphics rendering. The processor 110 may include one or more GPUs that execute program instructions to generate or change display information.

The display screen 194 is used to display images, videos, and the like. The display screen 194 includes a display panel. The display panel can use liquid crystal display (LCD), organic light-emitting diode (OLED), active matrix organic light-emitting diode or active-matrix organic light-emitting diode (active-matrix organic light-emitting diode). AMOLED, flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (QLED), etc. In some embodiments, the electronic device 100 may include one or N display screens 194, and N is a positive integer greater than one.

The electronic device 100 can implement a shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, and an application processor. Among them, the ISP is used to process the data fed back by the camera 193. The camera 193 is used to capture still images or videos. The object generates an optical image through the lens and is projected to the photosensitive element. Video codecs are used to compress or decompress digital video.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100. The external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. For example, save music, video and other files in an external memory card.

The internal memory 121 may be used to store computer executable program code, where the executable program code includes instructions. The processor 110 executes various functional applications and data processing of the electronic device 100 by running instructions stored in the internal memory 121.

The electronic device 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the earphone interface 170D, and the application processor. For example, music playback, recording, etc.

The pressure sensor 180A is used to sense the pressure signal and can convert the pressure signal into an electrical signal. The gyro sensor 180B may be used to determine the movement posture of the electronic device 100. The air pressure sensor 180C is used to measure air pressure. The magnetic sensor 180D includes a Hall sensor. The electronic device 100 can use the magnetic sensor 180D to detect the opening and closing of the flip holster. The acceleration sensor 180E can detect the magnitude of the acceleration of the electronic device 100 in various directions (generally three axes). Distance sensor 180F, used to measure distance. The electronic device 100 can measure the distance by infrared or laser. The proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector such as a photodiode. The light emitting diode may be an infrared light emitting diode. The electronic device 100 emits infrared light to the outside through the light emitting diode. The electronic device 100 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 100. When insufficient reflected light is detected, the electronic device 100 can determine that there is no object near the electronic device 100. The fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to implement fingerprint unlocking, access application locks, fingerprint photographs, fingerprint answering calls, and so on. The temperature sensor 180J is used to detect temperature. Touch sensor 180K, also called "touch panel" The touch sensor 180K may be provided on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, also called a "touch screen". The touch sensor 180K is used to detect touch operations acting on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. The visual output related to the touch operation can be provided through the display screen 194. In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100, which is different from the position of the display screen 194. The ambient light sensor 180L is used to sense the brightness of the ambient light. The bone conduction sensor 180M can acquire vibration signals. The button 190 includes a power-on button, a volume button, and so on.

The button 190 may be a mechanical button. It can also be a touch button. The electronic device 100 may receive key input, and generate key signal input related to user settings and function control of the electronic device 100. The motor 191 can generate vibration prompts. The indicator 192 may be an indicator light, which may be used to indicate the charging status, power change, or to indicate messages, missed calls, notifications, and so on. The SIM card interface 195 is used to connect to the SIM card. The SIM card can be inserted into the SIM card interface 195 or pulled out from the SIM card interface 195 to achieve contact and separation with the electronic device 100. The electronic device 100 may support 1 or N SIM card interfaces, and N is a positive integer greater than 1.

The software system of the electronic device 100 may adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture. The embodiment of the present application takes an Android system with a layered architecture as an example to illustrate the software structure of the electronic device 100 by way of example.

FIG. 2 is an example of a software structure block diagram of an electronic device 100 provided by an embodiment of the present application. The layered architecture divides the software into several layers, and each layer has a clear role and division of labor. Communication between layers through software interface. In some embodiments, the Android system is divided into four layers, from top to bottom, the application layer, the application framework layer, the Android runtime and system library, and the kernel layer. The application layer can include a series of application packages.

As shown in Figure 2, combined with the description of the embodiment of the present application, the application package may include camera, gallery, information, contacts, weather, music, card package, task card store, settings, photo album, video, browser, Huawei Application programs such as shopping malls and desktops, where the desktop application can control the display size, position coordinates, and display effects of interface elements such as application icons and controls on the interface of the electronic device.

The application framework layer provides an application programming interface (application programming interface, API) and a programming framework for applications in the application layer. The application framework layer includes some predefined functions.

As shown in Figure 2, the application framework layer can include a window manager, a content provider, a view system, a phone manager, a resource manager, and a notification manager.

The window manager is used to manage window programs. The window manager can obtain the size of the display screen, determine whether there is a status bar, lock the screen, take a screenshot, etc. In this application, the window manager can participate in the display process of the interface elements of the display screen.

The content provider is used to store and retrieve data and make these data accessible to applications. The data may include videos, images, audios, phone calls made and received, browsing history and bookmarks, phone book, etc.

The view system includes visual controls, such as controls that display text, controls that display pictures, and so on. The view system can be used to build applications. The display interface can be composed of one or more views. For example, the display of application icons on the display interface, or the display interface including short message notification icons, may include a view that displays text and a view that displays pictures.

The phone manager is used to provide the communication function of the electronic device 100. For example, the management of the call status (including connecting, hanging up, etc.).

The resource manager provides various resources for the application, such as localized strings, icons, pictures, layout files, video files, and so on.

The notification manager enables the application to display notification information in the status bar, which can be used to convey notification-type messages, and it can automatically disappear after a short stay without user interaction. For example, the notification manager is used to notify the user that the download is complete, message reminders, and so on. The notification manager can also be a notification that appears in the status bar at the top of the system in the form of a chart or a scroll bar text, such as a notification of an application running in the background, or a notification that appears on the screen in the form of a dialog window. For example, text messages are prompted in the status bar, or notifications can be made by sounding a prompt sound, vibrating, or blinking an indicator light.

Android runtime includes core libraries and virtual machines. Android runtime is responsible for the scheduling and management of the Android system.

The core library consists of two parts: one part is the function functions that the java language needs to call, and the other part is the core library of Android.

The application layer and application framework layer run in a virtual machine. The virtual machine executes the java files of the application layer and the application framework layer as binary files. The virtual machine is used to perform functions such as object life cycle management, stack management, thread management, security and exception management, and garbage collection.

The system library can include multiple functional modules. For example: surface manager (surface manager), media library (media libraries), 3D graphics processing library (for example: OpenGL ES), 2D graphics engine (for example: SGL), etc.

The surface manager is used to manage the display subsystem and provides a combination of 2D and 3D layers for multiple applications.

The media library supports playback and recording of a variety of commonly used audio and video formats, as well as still image files. The media library can support multiple audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, synthesis, and layer processing. The 2D graphics engine is a drawing engine for 2D drawing.

In this application, the surface manager, the three-dimensional graphics processing library, etc. can participate in the display process of the interface elements of the electronic device, and the specific display process will not be repeated here.

The kernel layer is the layer between hardware and software. The kernel layer contains at least display drivers, sensor drivers, etc.

For ease of understanding, the following embodiments of the present application will take the electronic device having the structure shown in FIG. 1 and FIG. 2 as an example, combined with the accompanying drawings and application scenarios, to specifically describe the display method of the interface elements provided by the embodiments of the present application.

The biological characteristics in the embodiments of the present application may include one or more of the following: physical biological characteristics, behavioral biological characteristics, and soft biological characteristics. Physical biological characteristics may include: human face, fingerprint, iris, retina, deoxyribonucleic acid (DNA), skin, hand shape, or vein. Behavioral biometrics can include: voiceprint, signature, or gait. Soft biological characteristics can include gender, age, height, or weight.

Biometric identification technology refers to a technology that uses human biological characteristics for identification. To be more specific, biometric identification technology is to use computers and high-tech methods such as optics, acoustics, biosensors, and biostatistics to identify personal identity by using the inherent physiological characteristics and behavioral characteristics of the human body.

The embodiment of the present application provides a method for verifying the identity of a user. As shown in FIG. 3, the first electronic device converts the first biometric data of the user acquired by the first electronic device to obtain second biometric data that has a privacy level different from that of the first biometric data. The data is sent to the second electronic device, so that the second electronic device verifies the user based on comparing the second biometric data stored in advance by the second electronic device with the second biometric data sent by the first electronic device, and sends the verification result Give the first electronic device, so that the first electronic device completes the verification of the user and improves the user experience.

There may be a trusted relationship between the first electronic device and the second electronic device in the embodiment of the present invention.

In some embodiments, the existence of a trusted relationship between the first electronic device and the second electronic device can be understood as the first electronic device is the trusted device of the second electronic device or the second electronic device is the trusted device of the first electronic device. equipment. In other embodiments, the existence of a trusted relationship between the first electronic device and the second electronic device can be understood as the first electronic device and the second electronic device are mutually trusted devices. Where the first electronic device and the second electronic device are mutually trusted devices, it can be understood that the first electronic device is a trusted device of the second electronic device, and the second electronic device is also a trusted device of the first electronic device.

In one embodiment, the trusted relationship is established between devices through a two-dimensional code. Specifically, the user scans the two-dimensional code on the second electronic device through the first electronic device, which can realize the establishment of a trusted relationship between the first electronic device and the second electronic device. That is, the first electronic device is set as a trusted device of the second electronic device, or the first electronic device and the second electronic device are mutually trusted devices. For example, in the device shown in (d) in Figure 4, the user retrieves the QR code of the smart door lock 315 through the display screen of the smart door lock 315, and the user scans the QR code of the smart door lock 315 through the mobile phone 312. , The "OK" option appears on the display screen of the mobile phone 312, and the user clicks the "OK" option to complete the establishment of the trusted relationship between the smart door lock 315 and the mobile phone 312. That is, the mobile phone 312 is a trusted device of the smart door lock 315, or the mobile phone 312 and the smart door lock 315 are mutually trusted devices.

In another embodiment, the trusted relationship is established between devices through an application (APP) associated with the device. Specifically, by setting the second electronic device in the trusted relationship setting option of the APP associated with the first electronic device on the second electronic device, the user can realize the trustworthy relationship between the first electronic device and the second electronic device. Establish. That is, the second electronic device is set as a trusted device of the first electronic device, or the first electronic device and the second electronic device are mutually trusted devices. For example, in the device shown in (b) in Figure 4, the user downloads the APP associated with the speaker 313 on the mobile phone 312, and selects the mobile phone 312 in the trusted relationship setting options of the APP to complete the speaker 313 and the mobile phone 312 The establishment of a credible relationship between. That is, the mobile phone 312 is a trusted device of the speaker 313, or the mobile phone 312 and the speaker 313 are mutually trusted devices.

In another embodiment, the trusted relationship is established between devices through a personal identification number (PIN). Specifically, the user can realize the establishment of a trusted relationship between the first electronic device and the second electronic device by inputting the PIN code of the first electronic device on the second electronic device. That is, the first electronic device is set as a trusted device of the second electronic device, or the first electronic device and the second electronic device are mutually trusted devices. For example, in the device as shown in (c) in FIG. 4, the user inputs the PIN code of the mobile phone 312 on the smart watch 314 by voice to complete the establishment of a trusted relationship between the smart watch 314 and the mobile phone 312. That is, the mobile phone 312 is a trusted device of the smart watch 314, or the mobile phone 312 and the smart watch 314 are mutually trusted devices.

In another embodiment, the trusted relationship is established between the devices by binding two devices.

Exemplarily, the two devices can be bound by a third-party application between the devices. Specifically, the user's third-party APP on the first electronic device binds the phone number corresponding to the second electronic device, which can realize the establishment of a trusted relationship between the first electronic device and the second electronic device. That is, the trusted device of the first electronic device is set as the second electronic device, or the first electronic device and the second electronic device are mutually trusted devices. For example, in the device shown in Figure 4(a), the user binds the phone number corresponding to the mobile phone 312 with the video APP on the smart screen 311 to use the video APP on the smart screen 311, then the smart screen 311 and the mobile phone There is a credible relationship between 312. That is, the mobile phone 312 is a trusted device of the smart screen 311, or the mobile phone 312 and the smart screen 311 are mutually trusted devices.

Exemplarily, the devices may also bind the two devices through the trusted relationship setting option of the devices. Specifically, the user's trusted relationship setting option on the first electronic device is bound to the second electronic device, which can realize the establishment of the trusted relationship between the first electronic device and the second electronic device. That is, the trusted device of the first electronic device is set as the second electronic device, or the first electronic device and the second electronic device are mutually trusted devices. For example, in the device shown in (e) of FIG. 4, the user binds the mobile phone 312 through the trusted relationship setting option on the on-board device 3161 of the vehicle 316, then there is a trusted relationship between the vehicle 316 and the mobile phone 312. That is, the mobile phone 312 is a trusted device of the vehicle 316, or the mobile phone 312 and the vehicle 316 are mutually trusted devices.

There may also be an association relationship between the first electronic device and the second electronic device in the embodiment of the present invention. In some embodiments, the association between the first electronic device and the second electronic device can be understood as the first electronic device is a trusted device of the second electronic device or the second electronic device is a trusted device of the first electronic device . In other embodiments, the existence of an association relationship between the first electronic device and the second electronic device can be understood as the first electronic device and the second electronic device are mutually trusted devices.

In one embodiment, the association relationship is established by associating accounts.

Exemplarily, if the first electronic device and the second electronic device log in to the same account, there is an association relationship between the first electronic device and the second electronic device, and the first electronic device and the second electronic device are mutually trusted devices. For example, in the device shown in (e) of FIG. 4, the user uses the mobile phone 312 and the tablet computer 317 by logging in to the account A, and there is an association relationship between the mobile phone 312 and the tablet computer 317. The mobile phone 312 and the tablet computer 317 are mutually trusted devices.

Exemplarily, the parent's account and the child's account are associated to realize the establishment of the association relationship between the parent's device and the child's device. That is, the device of the parent is set as the trusted device of the child's device, or the device of the parent and the child's device are mutually trusted devices.

Optionally, if there is a public device in the first electronic device and the second electronic device, the public device cannot be a trusted device of other devices. For example, in the device shown in Figure 4(a), the smart screen 311 is a public device, and the mobile phone 312 is a private device. The trusted device of the smart screen 311 can only be the mobile phone 312, and the trusted device of the mobile phone 312 cannot It is the smart screen 311. For another example, in the device shown in Figure 4(d), the smart door lock 315 is a public device, and the mobile phone 312 is a private device, and the trusted device of the smart door lock 315 can only be the mobile phone 312. The letter device cannot be a smart door lock 315.

(A) in FIG. 4 to (f) in FIG. 4 are exemplary diagrams of application scenarios provided by embodiments of the present application. It should be understood that the various application scenarios and devices shown in Fig. 4 (a) to Fig. 4 (f) are only an example of the embodiment of the present invention, and Fig. 4 (a) to Fig. 4 Any application scenario in (f) may also include more devices.

As shown in (a) in FIG. 4, it is an example diagram of an application scenario 300A provided by an embodiment of the present application. The application scenario 300A may include a smart screen 311 and a mobile phone 312. Among them, both the smart screen 311 and the mobile phone 312 may represent terminal devices with a biometric identification function. Among them, the mobile phone 312 can perform face recognition and/or voiceprint recognition; the smart screen 311 can collect facial images through the camera 3111 and the human voice through the microphone, but the smart screen 311 cannot use the facial recognition function and the voiceprint recognition function . The smart screen 311 and the mobile phone 312 can communicate through a wired network or a wireless network. Wherein, the network may be a trusted network, for example, a home network or a local area network.

When the user uses the smart screen 311, the smart screen 311 needs to authenticate the user's identity. Since the face recognition function and voiceprint recognition function of the smart screen 311 cannot be used, the smart screen 311 needs to use the mobile phone 312 to authenticate the user who uses the smart screen 311.

Specifically, the smart screen 311 collects the face image data of the user of the smart screen 311 through the camera 3111, and inputs the collected face image data of the user of the smart screen 311 into the biometric conversion module of the smart screen 311. The biometric conversion module converts the facial image data of the user of the smart screen 311 through the facial skin color recognition algorithm to obtain the skin color data of the user of the smart screen 311, and the smart screen 311 transmits the skin color data of the user of the smart screen 311 through the network The skin color data of the user of the smart screen 311 sent by the smart screen 311 is yellow. The mobile phone 312 matches the skin color data of the user of the smart screen 311 sent by the smart screen 311. If the skin color data pre-stored by the mobile phone 312 is yellow, the mobile phone 312 matches the skin color data of the user of the smart screen 311 sent by the smart screen 311 . Since the first biometric data does not include gender data, the mobile phone 312 needs to score the skin color data to generate a verification result. If the mobile phone 312 determines that the skin color data has an accuracy score of 90 points based on the user's historical behavior, and the weight corresponding to the skin color data is 0.7, the mobile phone 312 determines that the skin color data score is 63 points, which is higher than the preset value. If the value is 60 points, the mobile phone 312 determines that the verification result of the user of the smart screen 311 is verified by the user, and the mobile phone 312 sends the verification result to the smart screen 312. After the smart screen 311 receives the verification result, it can be The display screen of the smart screen displays the content requested by the user or the display screen of the smart screen 311 displays the unlocked interface. If the mobile phone 312 determines that the skin color data has an accuracy score of 75 points based on the user's historical behavior, and the weight corresponding to the skin color data is 0.7, the mobile phone 312 determines that the skin color data score is 52.5 points, which is lower than the preset value. If the value is 60 points, the mobile phone 312 determines that the verification result of the user of the smart screen 311 is not verified by the user, and the mobile phone 312 sends the verification result to the smart screen 312. After the smart screen 311 receives the verification result, the smart screen 311 does not The data requested by the user will be displayed on the display screen of the smart screen 311 or the smart screen 311 will not be unlocked.

As shown in (b) in FIG. 4, it is an example diagram of another application scenario 300B provided by an embodiment of the present application. The application scenario 300B may include a speaker 313 and a mobile phone 312. Among them, both the speaker 313 and the mobile phone 312 may represent terminal devices with a biometric identification function. Among them, the mobile phone 312 can perform face recognition and/or voiceprint recognition; the speaker 313 can collect sounds, but the speaker 313 cannot use the face recognition function and the voiceprint recognition function. The audio 313 and the mobile phone 312 can communicate with each other through a wired network or a wireless network. Wherein, the network may be a trusted network, for example, a home network or a local area network.

When the user uses the speaker 313, the speaker 313 needs to authenticate the user's identity. Since the face recognition function and voiceprint recognition function of the speaker 313 cannot be used, the speaker 313 needs to use the mobile phone 312 to authenticate the user who uses the speaker 313.

Specifically, the speaker 313 collects the voice data of the user of the speaker 313 through a microphone, and inputs the collected voice data of the user of the speaker 313 into the biometric conversion module of the speaker 313. The biometric conversion module of the speaker 313 recognizes the gender of the voice print The algorithm converts the voice data of the user of the speaker 313 to obtain the age data of the user of the speaker 313. The speaker 313 sends the age data of the user of the speaker 313 to the mobile phone 312, and the age data of the user of the speaker 313 is 13 years old. . The mobile phone 312 matches the age data of the user of the speaker 313 sent by the speaker 313. If the pre-stored age data of the mobile phone 312 is 13 years old, the mobile phone 312 matches the age data of the user of the speaker 313 sent by the speaker 313. Since the first biometric data does not include gender data, the mobile phone 312 needs to score the age data to generate a verification result. If the mobile phone 312 determines that the accuracy score of the age data is 100 points according to the user's historical behavior, and the weight corresponding to the age data is 0.9, the mobile phone 312 determines that the score of the age data is 100×0.9=90 points, the 90 points If it is higher than the preset value of 60 points, the mobile phone 312 determines that the user’s verification result of the speaker 313 is passed the user’s verification, and the mobile phone 312 sends the verification result to the speaker 313. After the speaker 313 receives the verification result, the speaker 313 will pass the verification. The content requested by the user is output by voice or the speaker 313 is unlocked.

As shown in (c) in FIG. 4, it is an example diagram of another application scenario 300C provided by an embodiment of the present application. The application scenario 300C may include a smart watch 314 and a mobile phone 312. Among them, both the smart watch 314 and the mobile phone 312 may represent terminal devices with a biometric identification function. Among them, the mobile phone 312 can perform face recognition and/or voiceprint recognition; the smart watch 314 can collect sounds, but the smart watch 314 cannot use the face recognition function and the voiceprint recognition function. The smart watch 314 and the mobile phone 312 can communicate with each other through a wired network or a wireless network. Wherein, the network may be a trusted network, for example, a home network or a local area network.

When the user uses the smart watch 314, the smart watch 314 needs to authenticate the user's identity. Since the face recognition function and voiceprint recognition function of the smart watch 314 cannot be used, the smart watch 314 needs to use the mobile phone 312 to authenticate the user who uses the smart watch 314.

Specifically, the smart watch 314 collects the voice data of the user of the smart watch 314 through a microphone, and inputs the collected voice data of the user of the smart watch 314 into the biometric conversion module of the smart watch 314, and the biometric conversion module of the smart watch 314 passes The voiceprint gender discrimination algorithm converts the voice data of the user of the smart watch 314 to obtain the gender data of the user of the smart watch 314, and sends the gender data of the user of the smart watch 314 to the mobile phone 312 via the network, and the smart watch 314 The gender data of the user is female. The mobile phone 312 matches the gender data of the user of the smart watch 314 sent by the smart watch 314. If the pre-stored gender data of the mobile phone 312 is female, the mobile phone 312 matches the gender data of the user of the smart screen 311 sent by the smart screen 311 . Since the first biometric data is gender data, the mobile phone 312 determines that the verification result of the user of the smart watch 314 is verified by the user, and the mobile phone 312 sends the verification result to the smart watch 314, and the smart watch 314 receives the verification result. After the result, the content requested by the user may be displayed on the display screen of the smart watch 314 or the smart watch 314 may display the unlocked interface on the display screen of the smart watch 314. If the pre-stored gender data of the mobile phone 312 is male, and the mobile phone 312 does not match the gender data of the user of the smart screen 311 sent by the smart screen 311, the mobile phone 312 determines that the verification result of the user of the smart watch 314 is not passed by the user. For verification, the mobile phone 312 sends the verification result to the smart watch 314. After the smart watch 314 receives the verification result, the smart watch 314 will not display the data requested by the user on the display of the smart watch 314 or the smart watch 314 will not unlock .

As shown in (d) in FIG. 4, it is another example diagram of an application scenario 300D provided by an embodiment of the present application. The application scenario 300D may include a smart door lock 315 and a mobile phone 312. Among them, both the smart door lock 315 and the mobile phone 312 may represent terminal devices with a biometric identification function. Among them, the mobile phone 312 can perform face recognition and/or voiceprint recognition; the smart door lock 315 can collect fingerprints and facial images, but the smart door lock 315 cannot use the face recognition function and fingerprint recognition function. The smart door lock 315 and the mobile phone 312 can communicate through a wired network or a wireless network. Wherein, the network may be a trusted network, for example, a home network or a local area network.

When someone needs to open the smart door lock 315, the smart door lock 315 needs to authenticate the identity of the unlocker. Since the face recognition function and fingerprint recognition function of the smart door lock 315 cannot be used, the smart door lock 315 needs to use the mobile phone 312 to authenticate the unlocker who uses the smart door lock 315.

Specifically, the smart door lock 315 collects the face image data of the unlocker through the camera 3151 of the smart door lock 315, and inputs the collected face image data of the unlocker into the biometric conversion module of the smart door lock 315. The smart door lock 315 The biometrics conversion module uses the facial hair color recognition algorithm and the facial age recognition algorithm to convert the unlocker’s facial image data to obtain the unlocker’s hair color data and the unlocker’s age data, and the unlocker’s hair color data And the age data is sent to the mobile phone 312 via the network, and the hair color data of the unlocker is yellow, and the age data of the unlocker is 30 years old. The mobile phone 312 matches the skin color data of the user of the smart door lock 315 sent by the smart door lock 315. If the skin color data pre-stored by the mobile phone 312 is yellow, the mobile phone 312 matches the use of the smart door lock 315 sent by the smart door lock 315 Skin color data of the person. The mobile phone 312 also needs to match the skin color data of the user of the smart door lock 315 sent by the smart door lock 315. If the pre-stored age data of the mobile phone 312 is 50 years old, the mobile phone 312 does not match the smart screen 311 sent by the smart screen 311 The age data of users. Since the first biometric data does not include gender data, the mobile phone 312 needs to score the skin color data to generate a verification result. According to the historical behavior of the user, the mobile phone 312 determines that the accuracy score of the skin color data is 80, and the weight corresponding to the skin color data is 0.7. The mobile phone 312 determines that the score of the age data is 80×0.7=56 points, which is lower than the preset value. A value of 60 points, the mobile phone 312 determines that the user’s verification result of the speaker 313 fails the user’s verification, and the mobile phone 312 sends the verification result to the smart door lock 315. After the smart door lock 315 receives the verification result, the smart door lock 315 Won't open.

As shown in (e) in FIG. 4, it is an example diagram of another application scenario 300E provided by an embodiment of the present application. The application scenario 300E may include a mobile phone 312 and a vehicle 316, and the vehicle 316 may also include an in-vehicle device 3161 and a camera 3162. Among them, both the mobile phone 312 and the vehicle 316 may represent terminal devices with a biometric identification function. Among them, the mobile phone 312 can perform face recognition and/or voiceprint recognition; the vehicle 316 can collect voiceprints through the in-vehicle device 3161 and face images through the camera 3162, but the vehicle 316 cannot use the facial recognition function and the voiceprint recognition function. The vehicle 316 and the mobile phone 312 can communicate with each other through a wired network or a wireless network. Wherein, the network may be a trusted network, for example, a home network or a local area network.

When someone uses the vehicle 316, the vehicle 316 needs to authenticate the identity of the driver who uses the vehicle 316. Since the face recognition function and voiceprint recognition function of the vehicle 316 cannot be used, the vehicle 316 needs to use the mobile phone 312 to authenticate the driver of the vehicle 316.

Specifically, the vehicle 316 collects the facial image data of the driver using the vehicle 316 through the camera 3162, and inputs the collected facial image data of the driver using the vehicle 316 to the biometric conversion module of the onboard equipment 3161 of the vehicle 316. The biometric conversion module of the in-vehicle device 3161 converts the facial image data of the driver using the vehicle 316 through the eye ratio discrimination algorithm to obtain the eye ratio data of the driver using the vehicle 316, and then calculates the eye ratio of the driver using the vehicle 316 The data is sent to the mobile phone 312 via the network, and the driver’s eye ratio data is 1:1.5. The mobile phone 312 matches the eye ratio of the user of the vehicle 316 sent by the vehicle 316, if the mobile phone 312 does not match the eye ratio data of the user of the vehicle 316 in the pre-stored data. The mobile phone 312 determines that the verification result of the user of the vehicle 316 does not pass the user's verification. The mobile phone 312 sends the verification result to the vehicle-mounted device 3161 of the vehicle 316. After the vehicle-mounted device 3161 receives the verification result, the vehicle-mounted device 3161 will not be in the vehicle. The data requested by the user is displayed on the display screen of the device 3161 or the vehicle-mounted device 3161 will not be displayed for unlocking.

As shown in (f) in FIG. 4, it is another example diagram of an application scenario 300F provided by an embodiment of the present application. The application scenario 300F may include a mobile phone 312 and a tablet computer 317. Among them, both the mobile phone 312 and the tablet computer 317 may represent terminal devices with a biometric identification function. Among them, the mobile phone 312 can perform face recognition, voiceprint recognition and/or fingerprint recognition; the tablet computer 317 can collect fingerprints, voices and facial images, but the tablet computer 317 cannot use the facial recognition function and voiceprint recognition function. The tablet computer 317 and the mobile phone 312 can communicate through a wired network or a wireless network. Wherein, the network may be a trusted network, for example, a home network or a local area network.

When the user uses the tablet computer 317, the tablet computer 317 needs to authenticate the user's identity again. Since the face recognition function and voiceprint recognition function of the tablet computer 317 cannot be used, the tablet computer 317 needs to use the mobile phone 312 to perform identity verification on the user of the tablet computer 317 again.

Specifically, the tablet computer 317 collects the fingerprint data of the user of the tablet computer 317, and inputs the collected fingerprint data of the user of the tablet computer 317 into the biometric conversion module of the tablet computer 317. The biometric conversion module of the tablet computer 317 passes the high The density fingerprint distribution area identification algorithm converts the fingerprint data of the user of the tablet computer 317 to obtain the distribution area data of the high-density fingerprint of the user of the tablet computer 317, and calculates the distribution of the high-density fingerprint of the user of the tablet computer 317. The area data is sent to the mobile phone 312, and the distribution area data of the high-density fingerprint of the user of the tablet computer 317 is the right half area. The mobile phone 312 matches the high-density fingerprint distribution area data of the user of the tablet computer 317 sent by the tablet computer 317. If the mobile phone 312 does not match the high-density fingerprint distribution area of the user of the tablet computer 317 in the pre-stored data data. The mobile phone 312 determines that the verification result of the user of the tablet computer 317 is not verified by the user, and the mobile phone 312 sends the verification result to the tablet computer 317. After the tablet computer 317 receives the verification result, it can be displayed on the display screen of the tablet computer 317. The content requested by the user is displayed or the tablet 317 is unlocked.

As shown in FIG. 5, a schematic flowchart of a method 200 for verifying user identity provided in this application. It should be understood that FIG. 5 shows the steps or operations of the method 200, but these steps or operations are only examples, and the technical solution proposed in this application may also perform other operations or variations of each operation in FIG. 5. The method 200 is executed by a first electronic device and a second electronic device, where the first electronic device may be the smart screen 311 shown in (a) in FIG. 4, or the smart screen 311 shown in (b) in FIG. 4 Audio 313, smart watch 314 shown in (c) in FIG. 4, smart door lock 315 shown in (d) in FIG. 4, vehicle 316 shown in (e) in FIG. 4, or FIG. 4 The tablet computer 317 shown in (f). The second electronic device may be the mobile phone 312 shown in (a) in FIG. 4 to (f) in FIG. 4.

There may also be multiple second electronic devices. In the case of multiple second electronic devices, each second electronic device of the multiple second electronic devices can execute the steps performed by the second electronic device in the following methods: step. The method includes:

S210: The first electronic device acquires the first biometric data of the user.

In some embodiments, the first biometric data is a biometric that uniquely identifies the user, that is, the identity of the user recognized by the device through the first biometric is unique. Exemplarily, the first biometric data may be physical biometric data and/or behavioral biometric data. For example, the first biometric data may be face image data, voiceprint data, fingerprint data, gait data, and so on.

The user is a user who currently uses the first electronic device, and the user uses the first electronic device through the user's first biological characteristics.

In some embodiments, the first electronic device may be a device with at least one biometric identification function. Exemplarily, the at least one biological feature may be a face image, voiceprint, fingerprint, iris, signature, and the like.

In other embodiments, the first electronic device may also be a device that cannot use the biometric identification function temporarily, but the first electronic device is a device that can collect biometrics.

S220: The first electronic device converts the user's first biometric data into second biometric data, and the second biometric data and the first biometric data have different privacy levels.

Optionally, the second biometric data may be M, where M is greater than or equal to 1, and M is a positive integer.

In some embodiments, the conversion of the first biometric data of the user into the second biometric data can be understood as reducing the dimension of the first biometric of the user to obtain the second biometric of the user. Dimensionality reduction can be understood as mapping from one dimensional space to another dimensional space.

The first electronic device includes a biometrics conversion module. The first electronic device inputs the user's first biometrics data obtained by the first electronic device into the biometrics conversion module, and the biometrics conversion module performs a dimensionality reduction processing algorithm on the first biometrics. The feature data is reduced in dimensionality to obtain the second biological feature of the user.

In some embodiments, the biometric feature conversion module can perform biometric feature conversion through a dimensionality reduction processing algorithm. The dimensionality reduction processing algorithm may include at least one of the following algorithms: face gender recognition algorithm, face age segmentation algorithm, hair color recognition algorithm, face pupil color recognition algorithm, face skin color recognition algorithm, face tattoo recognition algorithm , Gait age recognition algorithm, gait height recognition algorithm, gait weight recognition algorithm, gait and stride habit recognition algorithm, voiceprint gender recognition algorithm, voiceprint age recognition algorithm, dialect feature recognition algorithm, eye ratio recognition algorithm, nose Proportion recognition algorithm, mouth ratio recognition algorithm, eyebrow ratio recognition algorithm, ear ratio recognition algorithm, high frequency number recognition algorithm, low frequency number recognition algorithm, fingerprint feature point recognition algorithm, fingerprint complexity recognition algorithm or high-density fingerprint distribution area recognition algorithm . This application does not limit the algorithm.

In some embodiments, the second biometric data may include soft biometric data and/or digitized biometric data. Exemplarily, the soft biometric data includes gender data, age data, skin color data, hair color data, pupil color data, tattoo data, height data, weight data, stride habit data, dialect data, and the like. Exemplarily, the digitized biometric data may include eye ratio data, nose ratio data, mouth ratio data, eyebrow ratio data, ear ratio data, sound mid and high frequency data, sound mid and low frequency data, fingerprint feature points, or complex fingerprints Degree data or distribution area data of high-density fingerprints, etc. Among them, the eye ratio can be understood as the ratio of the eyes occupying the face image. The nose ratio can be understood as the ratio of the nose to the face image. The mouth ratio can be understood as the ratio of the mouth to the face image. The eyebrow ratio can be understood as the ratio of the eyebrows to the face image. The ear ratio can be understood as the ratio of the ears occupying the face image. The number of high frequencies can refer to the number of sounds in the 20Hz-900Hz frequency band. The number of low frequencies can refer to the number of voiceprints in the 2000-16000 Hz frequency band. Fingerprint feature points include breakpoints or bifurcation points appearing in fingerprint patterns.

In some embodiments, the first biometric data may belong to high privacy data, and the second biometric data may belong to low privacy data. The first biometric data can belong to high-privacy data, and the second biometric data can belong to low-privacy data. It can be understood that the first biometric data is high-privacy data relative to the second biometric data. The second biometric feature belongs to low-privacy data. Illustratively, as shown in Table 1, are examples of high-privacy data and low-privacy data. For example, as shown in Table 1, relative to face image data, the privacy level of gender data is lower than that of face image data.

Table 1

In an embodiment where the privacy level of the first biometric data is higher than the privacy level of the second biometric data, the privacy level of the first biometric data is higher than the privacy level of the second biometric data, which can be understood as the device passes the second biometric data. The accuracy rate of the user's identity recognized by the characteristic data is lower than the accuracy rate of the user's identity recognized by the device through the first biometric data. Alternatively, the privacy level of the first biometric data is higher than the privacy level of the second biometric data, which can be understood as the second biometric data contains less user characteristic data than the first biometric data.

Exemplarily, as shown in FIG. 6, in a case where the first biometric data is face image data, the first biometrics collected by the first electronic device are input into the biometric conversion module. The biometric feature conversion module may perform dimensionality reduction processing on the face image data through a face gender discrimination algorithm to obtain gender data. Alternatively, the biometric feature conversion module may perform dimensionality reduction processing on the face image data through a face age segmentation algorithm to obtain the age. Alternatively, the biometric feature conversion module may perform dimensionality reduction processing on the face image data through a hair color recognition algorithm to obtain hair color. Alternatively, the biometric conversion module may perform dimensionality reduction processing on the face image data through a face pupil color recognition algorithm to obtain pupil colors. Alternatively, the biometric feature conversion module may perform dimensionality reduction processing on the face image data through a face skin color recognition algorithm to obtain the skin color. Alternatively, the biometric feature conversion module may perform dimensionality reduction processing on the face image data through a face tattoo recognition algorithm to obtain the tattoo.

For example, as shown in Figure 4(a), the smart screen 311 collects the facial image data of the user using the smart screen 311 through the camera 3111, and the facial image data of the user of the smart screen 311 is the first Biometric data. The smart screen 311 inputs the face image data of the user who uses the smart screen 311 into the biometric conversion module of the smart screen 311. The biometric conversion module uses the facial skin color recognition algorithm to identify the face of the user of the smart screen 311. The image data is processed for dimensionality reduction to obtain skin color data of the user of the smart screen 311, and the skin color data of the user of the smart screen 311 is the second biometric data.

For another example, as shown in (d) in FIG. 4, the smart door lock 315 collects the facial image data of the user who uses the smart door lock 315 through the camera 3151, and the facial image data of the user of the smart door lock 315 is The first biometric feature, the smart door lock 315 inputs the face image data of the user who uses the smart door lock 315 into the biometric dimensionality reduction processing module of the smart door lock 315. The face image data of the user of the door lock 315 is converted to obtain the hair color data of the user of the smart door lock 315, and the hair color data of the user of the smart door lock 315 is the second biometric data.

For another example, as shown in FIG. 4(e), the vehicle 316 collects the facial image data of the user using the vehicle 316 through the camera 3162, and the facial image data of the user of the vehicle 316 is the first biological feature , The vehicle 316 inputs the face image of the user of the vehicle 316 into the biometric conversion module of the vehicle 316, and the biometric conversion module correspondingly reduces the dimensionality of the face image data of the user of the vehicle 316 through the eye ratio conversion algorithm to obtain the vehicle The eye ratio data of the user of 316, and the eye ratio data of the user of the vehicle 316 is the second biometric data.

Exemplarily, as shown in FIG. 6, in a case where the first biological characteristic is a step posture, the first biological characteristic collected by the first electronic device is input into the biological characteristic conversion module, and the biological characteristic conversion module may include a step A posture and age discrimination algorithm, the second biological characteristic obtained is age data; the algorithm included in the biological characteristic conversion module may be a step height discrimination algorithm, and the second biological characteristic obtained is height data; the biological characteristic conversion module includes The algorithm may be a gait and weight discrimination algorithm, and the obtained second biological characteristic is weight; the algorithm included in the biological characteristic conversion module may be a gait and stride habit discrimination algorithm, and the obtained second biological characteristic is a gait habit.

Exemplarily, as shown in FIG. 6, when the first biometric data is voiceprint data, the first biometric data collected by the first electronic device is input to the biometric conversion module, and the biometric conversion module The gender data can be obtained by performing dimensionality reduction processing on the voiceprint data through the voiceprint gender discrimination algorithm. Alternatively, the biological feature conversion module may perform dimensionality reduction processing on the voiceprint data through a voiceprint age discrimination algorithm to obtain age data. Alternatively, the biometric feature conversion module may perform dimensionality reduction processing on the voiceprint data through a dialect feature identification algorithm to obtain the dialect data.

For example, as shown in FIG. 4(b), the speaker 313 collects voiceprint data of a user who uses the speaker 313 through a microphone. The voiceprint data of the user of the speaker 313 is the first biometric data, the speaker 313 The voiceprint data of the user who uses the speaker 313 is input into the biometric conversion module of the speaker 313. The biometric conversion module can reduce the dimensionality of the voiceprint data of the user of the speaker 313 through the voiceprint age discrimination algorithm to obtain the use of the speaker 313. The age data of the user, and the age data of the user of the speaker 313 is the second biometric data.

For another example, as shown in FIG. 4(c), the smart watch 314 collects voiceprint data of a user using the smart watch 314 through a microphone, and the voiceprint data of the user of the smart watch 314 is the first biological characteristic Data, the smart watch 314 inputs the voiceprint data of the user using the smart watch 314 into the biometric conversion module of the smart watch 314, and the biometric conversion module performs the voiceprint data of the user of the smart watch 314 through the voiceprint gender discrimination algorithm. The dimensionality reduction process obtains the gender data of the user of the smart watch 314, and the gender data of the user of the smart watch 314 is the second biological characteristic.

Exemplarily, in the case where the first biological characteristic is fingerprint data, the first biological characteristic data collected by the first electronic device is input into the biological characteristic conversion module, and the biological characteristic conversion module may convert the fingerprint characteristic point identification algorithm to The fingerprint data is converted to obtain fingerprint feature point data. Alternatively, the biometric conversion module may convert the fingerprint data through a fingerprint complexity identification algorithm to obtain fingerprint complexity data. Alternatively, the biometric conversion module may convert fingerprint data through a high-density fingerprint distribution area identification algorithm to obtain a high-density fingerprint distribution area.

For example, as shown in FIG. 4(f), the tablet computer 317 collects fingerprint data of a user using the tablet computer 317 through a fingerprint sensor, and the fingerprint data of the user of the tablet computer 317 is the first biometric data. The tablet computer 317 inputs the fingerprint data of the user using the tablet computer 317 into the biometric conversion module of the tablet computer 317, and the biometric conversion module reduces the fingerprint data of the user of the tablet computer 317 through a high-density fingerprint distribution area identification algorithm. The dimension processing obtains the distribution area data of the high-density fingerprint of the user of the tablet computer 317, and the distribution area data of the high-density fingerprint of the user of the tablet computer 317 is the second biometric feature.

In other embodiments, the conversion of the first biometric data of the user into the second biometric data can be understood as the first biometric data of the user is subjected to privacy processing, and then the biometric data after the privacy processing is removed. Perform dimensionality reduction to obtain the user's second biological characteristics.

In an embodiment, the first electronic device further includes a privacy removal module. The first electronic device inputs the first biometric data of the user acquired by the first electronic device into the privacy removal module, which can decompose the first biometric data into a plurality of biometric data, and input the decomposed plurality of biometric data respectively From the data of the biometric conversion module, the user's second biometric data can be obtained. The privacy removal module can realize the privacy removal processing of the first biometric data by using a privacy removal algorithm. The privacy removal algorithm may be an algorithm for identifying features of the five sense organs. The biological feature module may perform dimensionality reduction processing through an ear gender discrimination algorithm and/or an eye age discrimination algorithm. The second biometric data is age data or gender data.

In another embodiment, the biometric feature conversion module of the first electronic device can convert the first biometric feature through a privacy removal algorithm and a dimensionality reduction processing algorithm. The privacy removal algorithm may be an algorithm for identifying features of the five sense organs. The dimensionality reduction processing algorithm may include at least one of the following algorithms: an ear gender discrimination algorithm and an eye age discrimination algorithm. Correspondingly, the second biometric data is age data or gender data.

Hereinafter, taking the first electronic device further including a privacy removal module as an example, the process of the first electronic device's biometric conversion of the collected first biometric data will be described. Specifically, as shown in FIG. 7, the face image data collected by the first electronic device is input to the privacy removal module, and the privacy removal module performs privacy removal processing on the face image data by the facial features recognition algorithm to obtain the ear image Data, and then input the obtained ear image data into a biometrics conversion module, and the biometrics conversion module performs dimensionality reduction processing on the ear image data through an ear gender discrimination algorithm to obtain gender data. Alternatively, the deprivation module performs deprivation processing on the face image data by the facial features recognition algorithm to obtain the eye image data, and then inputs the obtained eye image data to the biometric conversion module, and the biometric conversion module uses the age of the eyes. The discrimination algorithm performs dimensionality reduction processing on the eye image data to obtain age data.

For example, as shown in (d) in Figure 4, the smart door lock 315 collects the face image data of the user using the smart door lock 315 through the camera 3151, and the face image data of the user of the smart door lock 315 is all Speaking of the first biometric data, the smart door lock 315 inputs the face image data of the user who uses the smart door lock 315 into the privacy removal module of the smart door lock 315, and the privacy removal module uses the facial features recognition algorithm for the smart door lock 315 The face image data of the user is deprived of privacy processing to obtain the ear image data of the user of the smart door lock 315 and the eye image data of the user of the smart door lock 315; Input the biometrics conversion module. The biometrics conversion module uses the ear gender discrimination algorithm to reduce the dimensionality of the user’s ear image data of the smart door lock 315 to obtain the gender data of the user of the smart door lock 315. The use of the smart door lock 315 The gender data of the person is the second biological characteristic. The smart door lock 315 can also input the eye image data of the user of the smart door lock 315 into the biometric conversion module. The biometric conversion module uses the eye age discrimination algorithm to reduce the dimensionality of the user’s eye diagram data to obtain the intelligence. The age data of the user of the door lock 315, and the age data of the user of the smart door lock 315 is the second biometric data.

In other embodiments, the first biometric data may belong to low privacy data, and the second biometric data may belong to high privacy data. The first biometric data can belong to low-privacy data, and the second biometric data can belong to high-privacy data. It can be understood that the first biometric data is low-privacy data compared to the second biometric data. The second biological feature belongs to high-privacy data. Exemplarily, the second biometric data may be data obtained by encrypting the first biometric data. For example, with respect to fingerprint data, the privacy level of encrypted fingerprint data is higher than that of fingerprint data.

S230: The first electronic device sends the acquired second biometric data of the user to the second electronic device. Wherein, there is a trusted relationship between the second electronic device and the first electronic device. Correspondingly, the second electronic device receives the second biometric data sent by the first electronic device.

The second electronic device may be a device having at least one first biological characteristic recognition capability. Illustratively, the at least one biological characteristic may be a face image, voice print, fingerprint, iris, or signature.

For example, as shown in Figure 4(a), the smart screen 311 collects the facial image data (first biometric data) of the user who uses the smart screen 311 through the camera, and the smart screen 311 captures the user’s human The face image data is converted into skin color data (second biometrics) of the user of the smart screen 311, and the smart screen 311 sends the skin color data of the user of the smart screen 311 to the mobile phone 312 via the network. The smart screen 311 can also convert the facial image data of the user of the smart screen 311 into the skin color data (second biometrics) of the user of the smart screen 311, and the smart screen 311 uses the network to convert the skin color data of the user of the smart screen 311. Send to mobile phone 312.

For another example, as shown in FIG. 4(b), the speaker 313 collects voice data (first biometric data) of the user who uses the speaker 313 through a microphone, and the speaker 313 converts the user's voice data of the speaker 313 into the speaker 313. The user's age data (second biometric data), the speaker 313 sends the user's age data of the speaker 313 to the mobile phone 312 via the network.

For another example, as shown in FIG. 4(c), the smart watch 314 collects the voice data (first biometric data) of the user who uses the smart watch 314 through a microphone, and the smart watch 314 collects the voice data of the user of the smart watch 314 Converted into the gender data (second biometric data) of the user of the smart watch 314, the smart watch 314 sends the gender data of the user of the smart watch 314 to the mobile phone 317 via the network.

For another example, as shown in Figure 4(d), the smart door lock 315 collects the facial image data (first biometric data) of the user who uses the smart door lock 315 through the camera 3151, and the smart door lock 315 sets the smart door The face image data of the user of the lock 315 is converted into the hair color data (the second biometric data) and the age data (the second biometric data) of the user of the smart door lock 315. The smart door lock 315 connects the smart door through the network The hair color data and age data of the user of the lock 315 are sent to the mobile phone 312.

For another example, as shown in FIG. 4(e), the vehicle 316 collects the facial image data (first biometric data) of the user using the vehicle 316 through the camera 3162, and the vehicle 316 captures the facial image of the user of the vehicle 316 The data is converted into the eye ratio data (second biometric data) of the user of the vehicle 316, and the vehicle 316 sends the eye ratio data of the user of the vehicle 316 to the mobile phone 312 via the network.

For another example, as shown in FIG. 4(f), the tablet computer 317 collects the fingerprint data (first biometric data) of the user using the tablet computer 317 through the fingerprint sensor, and the tablet computer 317 collects the fingerprint data of the user of the tablet computer 317 The data is converted into the high-density fingerprint distribution area data (second biometric data) of the user of the tablet computer 317, and the tablet computer 317 sends the high-density fingerprint distribution area data of the user of the tablet computer 317 to the mobile phone 317 via the network. .

After the second electronic device receives the second biometric data sent by the first electronic device, the second electronic device verifies or re-verifies the user who uses the first electronic device. The second electronic device may also perform step 240.

S240: The second electronic device verifies the user according to the second biometric data sent by the first electronic device, and determines a verification result.

For example, as shown in FIG. 9, the second electronic device collects the first biometric data of the target user through the camera, microphone or fingerprint sensor of the second electronic device, and inputs the collected first biometric data into the preprocessing module for preprocessing. And convert the preprocessed first biometric data into second biometric data. In one embodiment, the preprocessing module inputs the preprocessed first biometric data into the biometric conversion module, and the biometric conversion module converts the first biometric data to obtain the second biometric data. In another embodiment, the first electronic device may further include a privacy removal module. The preprocessing module inputs the preprocessed first biometric data into the privacy removal module. The privacy removal module can perform deprivacy processing on the first biometric data through an algorithm to obtain the deprived biometric data, and then deprive it of privacy. The biometric data is input into the biometric conversion module, and the biometric conversion module uses an algorithm to convert the deprived biometric data to obtain the second biometric data. Input the second biometric data into the biometric verification system. The biometric verification system may include a template generation module and a comparison module. Specifically, the second biometric data is input into the template generation module to obtain the second biometric data template, and The second biometric data template is entered into the storage template module.

Optionally, the first biometric data of the target user collected by the second electronic device may include the first biometric data of the user and/or the first biometric data of other users sent by the first electronic device.

Optionally, the biometric conversion module included in the second electronic device may be consistent with the biometric conversion module of the first electronic device, that is, the second electronic device may convert the first biometric data to obtain the second biometric data. The biometric conversion module included in the second electronic device can be consistent with the biometric conversion module of the first electronic device. The feature conversion module uses algorithms to perform biometric feature conversion. The algorithm is the same. For example, if the biometric conversion module of the first electronic device performs biometric conversion using a facial gender recognition algorithm, the biometric conversion module of the second electronic device also performs biometric conversion using a facial gender recognition algorithm. For another example, the biometric conversion module of the first electronic device uses the face age segmentation algorithm and the step height recognition algorithm to perform biometric conversion, and the biometric conversion module of the second electronic device also uses the face age segmentation algorithm. Perform biometric conversion with gait and height discrimination algorithm. For another example, the biometric conversion module of the first electronic device uses the ear gender discrimination algorithm and the eye age discrimination algorithm to perform biometric conversion, and the biometric conversion module of the second electronic device also uses the ear gender discrimination algorithm and the eye age discrimination algorithm respectively. Perform biometric conversion.

After the second electronic device receives the second biometric data sent by the first electronic device, the second biometric data sent by the first electronic device is entered into the second biometric data pre-stored in the storage template module of the second electronic device A comparison is made to determine whether it matches, and a verification result is generated according to the matching result, and the verification result is sent to the first electronic device, thereby completing the identity verification of the user of the first electronic device.

In the case that the second biometric data pre-stored in the second electronic device does not match the second biometric data sent by the first electronic device, the second electronic device determines that the second electronic device is The verification result is that the user's verification is not passed. The second biometric data pre-stored in the second electronic device does not match the second biometric data sent by the first electronic device, which can be understood as the second biometric data pre-stored in the second electronic device and sent by the first electronic device. The second biometric data is not the same. For example, the second biometric data sent by the first electronic device is 170cm tall, the second biometric data pre-stored in the second electronic device does not include the height data or the second biometric data pre-stored in the second electronic device is The height is 180cm.

When the second electronic device matches the second biometric data sent by the first electronic device in the second biometric data pre-stored in the second electronic device, the second electronic device determines whether the second biometric data is gender Data. In an embodiment in which the second biometric data includes gender data, the second electronic device determines that the verification result is the verification by the user. The second biometric data pre-stored in the second electronic device that matches the second biometric data sent by the first electronic device can be understood as the second biometric data pre-stored in the second electronic device and the second biometric data sent by the first electronic device. The second biometric data is the same. For example, the second biometric data pre-stored in the second electronic device is 23 years old, and the second biometric data sent by the first electronic device is also 23 years old.

In an embodiment where the second biometric data does not include gender data, in the case that the second electronic device’s score on the second biometric data is higher than or equal to the preset value, the second electronic device determines that the verification result is passed Authentication of the user. In the case that the score of the second biometric data by the second electronic device is lower than the preset value, the second electronic device determines that the verification result is that the user's verification is not passed.

Wherein, the second electronic device determines the weighted value of the score of the second biometric data according to the weight corresponding to each second biometric data and the score of each second biometric data, and the weighted value of the score of the second biometric data is Score the second biometric data for the second electronic device. Wherein, the score of each second biometric data is determined by the second electronic device according to the user's historical data.

S250: The first electronic device receives a verification result sent by the second electronic device, the verification result indicating whether the second electronic device passes the user verification using the first electronic device. Correspondingly, the second electronic device sends the verification result to the first electronic device.

In one embodiment, in the case that the verification result is that the user's verification is passed, the first electronic device passes the user's identity verification, and the first electronic device enters the unlocked state; in the case that the verification result is that the user's verification is not passed , The first electronic device does not pass the identity verification of the user, and the first electronic device will not enter the unlocked state.

For example, as shown in Figure 4 (a), after the smart screen 311 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the smart screen 311 will enter the unlocked state, that is, the smart screen 311 will The unlocked interface is displayed, and the user can use the smart screen 311. If the verification result is that the user's verification is not passed, the smart screen 311 will not enter the unlocked state, that is, the user cannot use the smart screen 311.

For example, as shown in (b) in Figure 4, after the speaker 313 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the speaker 313 will enter the unlocked state, that is, the user can use the speaker 313. If the verification result is that the user's verification is not passed, the speaker 313 will not enter the unlocked state, that is, the user cannot use the speaker 313.

For example, as shown in Figure 4(c), after the smart watch 314 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the smart watch 314 will enter the unlocked state, that is, the user can use the smart Watch 314. If the verification result is that the user's verification is not passed, the smart watch 314 will not enter the unlocked state, that is, the user cannot use the smart watch 314.

For example, as shown in (d) in Figure 4, after the smart door lock 315 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the smart door lock 315 will enter the unlocked state, that is, the smart door The lock 315 is opened. If the verification result is that the user's verification is not passed, the smart door lock 315 will not enter the unlocked state, that is, the smart door lock 315 will remain in the unopened state.

For example, as shown in Figure 4 (e), after the vehicle-mounted device 3161 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the vehicle-mounted device 3161 will enter the unlocked state, that is, the user can use the vehicle 316. If the verification result is that the user's verification is not passed, the in-vehicle device 3161 will not enter the unlocked state, that is, the user cannot use the vehicle 316.

For example, as shown in (f) in Figure 4, after the tablet 317 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the tablet 317 will enter the unlocked state, that is, the tablet 317 displays After unlocking the interface, the user can use the tablet 317. If the verification result is that the user's verification is not passed, the tablet computer 317 will not enter the unlocked state, that is, the user cannot use the tablet computer 317.

In another embodiment, in the case that the verification result is passed, the first electronic device passes the identity verification of the user, and the first electronic device displays the data requested by the user; in the case that the verification result is not passed, the first electronic device The electronic device does not pass the identity verification of the user, and the first electronic device does not display the content requested by the user.

For example, as shown in Figure 4(a), after the smart screen 311 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the smart screen 311 will display on the display of the smart screen 311 The data requested by the user. If the verification result is that the user's verification is not passed, the smart screen 311 will not display the data requested by the user on the display screen of the smart screen 311.

For example, as shown in (b) of FIG. 4, after the speaker 313 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the speaker 313 will output the data requested by the user through voice. If the verification result is that the user's verification is not passed, the speaker 313 will not output the data requested by the user through voice.

For example, as shown in Figure 4 (c), after the smart watch 314 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the smart watch 314 will enter the unlocked state, that is, the smart watch 314 is in the unlocked state. The data requested by the user is displayed on the display screen of the smart watch 314. If the verification result is that the user's verification is not passed, the smart watch 314 will not display the data requested by the user on the display screen of the smart watch 314.

For example, as shown in (d) in Figure 4, after the smart door lock 315 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the smart door lock 315 will enter the unlocked state, that is, the smart door The lock 315 displays the data requested by the user on the display screen of the smart door lock 315. If the verification result is that the user's verification is not passed, the smart door lock 315 will not display the data requested by the user on the display screen of the smart door lock 315.

For example, as shown in Figure 4(e), after the vehicle-mounted device 3161 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the vehicle-mounted device 3161 will enter the unlocked state, that is, the vehicle-mounted device 3161 is in the unlocked state. The data requested by the user is displayed on the display screen of the in-vehicle device 3161. If the verification result is that the user's verification is not passed, the in-vehicle device 3161 will not display the data requested by the user on the display screen of the in-vehicle device 3161.

For example, as shown in (f) in Figure 4, after the tablet 317 receives the verification result sent by the mobile phone 312, if the verification result is verified by the user, the tablet 317 will enter the unlocked state, that is, the tablet 317 is in the unlocked state. The data requested by the user is displayed on the display screen of the tablet computer 317. If the verification result is that the user's verification is not passed, the tablet computer 317 will not display the data requested by the user on the display screen of the tablet computer 317.

The method for verifying the identity of the user in the embodiment of the present application is described in detail above in conjunction with FIG. 4 to FIG. 7. The electronic device of the embodiment of the present application will be described in detail below in conjunction with FIG. 8 and FIG. 9.

Referring to FIG. 8, the first electronic device collects the user's first biological characteristics through a camera, a microphone, or a fingerprint sensor. The collected first biometric data of the user is input into the preprocessing module for preprocessing, and the preprocessed first biometric data is converted into second biometric data. In one embodiment, the preprocessing module inputs the preprocessed first biometric data into the biometric conversion module, and the biometric conversion module converts the first biometric data to obtain the second biometric data. In another embodiment, the first electronic device may further include a privacy removal module. The preprocessing module inputs the preprocessed first biometric data into the privacy removal module. The privacy removal module can perform deprivacy processing on the first biometric data through an algorithm to obtain the deprived biometric data, and then deprive it of privacy. The biometric data is input into the biometric conversion module, and the biometric conversion module uses an algorithm to convert the deprived biometric data to obtain the second biometric data. The biometrics conversion module sends the second biometric data to the communication module of the first electronic device, and sends the second biometric data to the second electronic device through the communication module. The first electronic device receives the verification result sent by the second electronic device through the communication module, the verification result is whether the verification result is passed or not the user's verification; the communication module sends the verification result to the processing module, and the processing module If the verification result is that the user's verification is passed, the first electronic device passes the user's identity verification, and the first electronic device displays the unlocked interface on the display screen of the first electronic device or the first electronic device is in the first electronic device. The display screen displays the data requested by the user; if the verification result is that the user’s verification is not passed, the first electronic device does not pass the user’s identity verification, and the first electronic device may have no action.

It should be understood that the first electronic device shown in FIG. 8 can implement the steps executed by the first electronic device in the method flows described in FIGS. 4 to 7.

As shown in FIG. 9, the description of the second biometric template data obtained by the second electronic device may refer to the description in S240, which will not be repeated here.

The second electronic device receives the second biometric data sent by the first electronic device through the communication module, and the second electronic device sends the second biometric data sent by the first electronic device to the comparison module of the second electronic device, and the second electronic device The second biometric data template pre-stored in the storage template module is sent to the comparison module of the second electronic device, and the second electronic device uses the comparison module to compare the second biometric data template and the second biometric data sent by the first electronic device. The data is matched. In the case that the second biometric data template is matched with the second biometric data sent by the first electronic device, the second electronic device generates a verification result that passes the user verification; there is no verification result in the second biometric data template. In the case of matching the second biometric data sent by the first electronic device, the second electronic device generates a verification result that does not pass the user verification. The second electronic device sends the verification result to the communication module through the comparison module, and sends the serious result to the first electronic device through the communication module.

It should be understood that the first electronic device shown in FIG. 9 can implement the steps executed by the second electronic device in the method flows described in FIGS. 4 to 7.

The embodiment of the present application also provides a computer-readable medium on which a computer program is stored, and when the computer program is executed by a computer, the method in the foregoing method embodiment is implemented.

The embodiments of the present application also provide a computer program product, which implements the method in the foregoing method embodiment when the computer program product is executed by a computer.

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

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

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

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

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

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

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

Claims

A system, characterized in that the system includes a first electronic device and a second electronic device, wherein:

The first electronic device is used to establish a network connection with the second electronic device, and the network connection is used to transmit data;

The first electronic device is further configured to convert the user's first biometric data into second biometric data, where the privacy levels of the second biometric data and the first biometric data are different;

The first electronic device is further configured to send the second biometric data to the second electronic device;

The second electronic device is configured to verify the user according to the second biometric data, and obtain a verification result;

The second electronic device is also used to send the verification result to the first electronic device.
The system of claim 1, wherein:

The second electronic device is also used to establish a trusted relationship or an association relationship with the first electronic device.
The system according to claim 1 or 2, wherein the first electronic device is further configured to convert the first biometric data of the user into the second biometric data, comprising:

The first electronic device is further configured to perform dimensionality reduction processing on the first biometric data to obtain the second biometric data.
The system according to claim 1 or 2, wherein the first electronic device is further configured to convert the first biometric data of the user into the second biometric data, comprising:

The first electronic device is also used to perform privacy removal processing on the first biometric data, and perform dimensionality reduction processing on the biometric data after the privacy removal processing to obtain the second biometric data.
The system according to any one of claims 1 to 4, wherein the second electronic device, configured to verify the user according to the second biometric data, and obtain a verification result comprises:

The second electronic device is also specifically configured to match the second biometric data;

In a case where the second electronic device does not match the second biometric data, the second electronic device determines that the verification result is that the user's verification is not passed.
The system according to claim 5, wherein the second electronic device, configured to verify the user according to the second biometric data, and obtain a verification result further comprises:

In the case that the second electronic device is matched to the second biometric data, the second electronic device is further specifically configured to:

Determining whether the second biometric data is gender data;

In a case where the second biometric data is gender data, determining that the verification result is that the verification by the user is passed;

In a case where the second biometric data is not gender data, the verification result is determined according to the score of the second biometric data by the second electronic device.
The system according to claim 6, wherein the second electronic device, configured to verify the user according to the second biometric data, and obtain a verification result further comprises:

In a case where the score of the second biometric data is higher than or equal to a preset value, determining that the verification result is verified by the user;

In a case where the score of the second biometric data is lower than the preset value, it is determined that the verification result is that the verification by the user is not passed.
The system according to claim 6 or 7, wherein the second electronic device is further specifically configured to:

Determine the score of the second biometric data according to the historical data of the user, and

The score of the second biometric data is determined according to the weight corresponding to the second biometric data and the score of the second biometric data.
The system according to any one of claims 1 to 8, wherein:

The first electronic device is further configured to display an unlocked interface when the verification result is that the user's verification is passed.
The system according to any one of claims 1 to 8, wherein:

The first electronic device is further configured to display the content requested by the user on the interface of the first electronic device when the verification result is that the user's verification is passed.
The system according to any one of claims 1 to 8, wherein the first biometric data is physical biometric data or behavioral biometric data;

The second biological characteristic is soft biological characteristic data, and/or the second biological characteristic is digitized biological characteristic data.
The system according to claim 11, wherein the physical biological characteristics include: face data, fingerprint data, iris data, retina data, deoxyribonucleic acid DNA data, skin data, hand shape data, or vein data; or,

The behavioral biometric data includes: voiceprint data, signature data or gait data; or,

The soft biometric data includes: gender data, age data, height data, hair color data, pupil color data, skin color data, tattoo data, stride habit data, dialect data or weight data; or,

The digitized biometric data includes: facial features ratio data, high frequency quantity data, low frequency quantity data, fingerprint feature point quantity data, fingerprint complexity data or high density fingerprint distribution area data.
A method for verifying user identity, the method is applied to a first electronic device, and is characterized in that the method includes:

Establishing a network connection between the first electronic device and the second electronic device, and the network connection is used to transmit data;

The first electronic device converts the user's first biometric data into second biometric data, and the privacy levels of the second biometric data and the first biometric data are different;

Sending the second biometric data to the second electronic device by the first electronic device;

The first electronic device receives a verification result obtained by the second electronic device verifying the user according to the second biological characteristic.
The method of claim 13, wherein:

The first electronic device and the second electronic device establish a trusted relationship or an association relationship.
The method according to claim 13 or 14, wherein the first electronic device converting the first biometric data of the user into the second biometric data comprises:

The first electronic device performs dimensionality reduction processing on the first biometric data to obtain the second biometric data.
The method according to claim 13 or 14, wherein the first electronic device converting the first biometric data of the user into the second biometric data comprises:

The first electronic device performs privacy removal processing on the first biometric data, and performs dimensionality reduction processing on the biometric data after the privacy removal processing to obtain the second biometric data.
The method according to any one of claims 13 to 16, wherein the method further comprises:

In a case where the verification result is that the user's verification is passed, the first electronic device displays an unlocked interface.
The method according to any one of claims 13 to 16, wherein the method further comprises:

The first electronic device displays the content requested by the user on the interface of the electronic device.
The method according to any one of claims 13 to 18, wherein the first biometric data is physical biometric data or behavioral biometric data;

The second biological characteristic is soft biological characteristic data, and/or the second biological characteristic is digitized biological characteristic data.
The method of claim 19, wherein the physical and biological characteristics include: face data, fingerprint data, iris data, retina data, deoxyribonucleic acid DNA data, skin data, hand shape data, or vein data; or,

The behavioral biometric data includes: voiceprint data, signature data or gait data; or,

The soft biometric data includes: gender data, age data, height data, hair color data, pupil color data, skin color data, tattoo data, stride habit data, dialect data or weight data; or,

The digitized biometric data includes: facial features ratio data, high frequency quantity data, low frequency quantity data, fingerprint feature point quantity data, fingerprint complexity data or high density fingerprint distribution area data.
An electronic device, characterized by comprising: one or more processors; one or more memories; the one or more memories stores one or more computer programs, and the one or more computer programs include instructions When the instructions are executed by the one or more processors, the electronic device is caused to execute the method according to any one of claims 13 to 20.
A computer-readable medium, characterized by comprising a computer program, which when the computer program runs on a computer, causes the computer to execute the method according to any one of claims 13 to 20.