WO2020093353A1 - 生物识别装置、设备、方法及存储介质 - Google Patents
生物识别装置、设备、方法及存储介质 Download PDFInfo
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- WO2020093353A1 WO2020093353A1 PCT/CN2018/114754 CN2018114754W WO2020093353A1 WO 2020093353 A1 WO2020093353 A1 WO 2020093353A1 CN 2018114754 W CN2018114754 W CN 2018114754W WO 2020093353 A1 WO2020093353 A1 WO 2020093353A1
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- the present application relates to the field of biometrics technology, in particular to a biometrics device, device, method and storage medium.
- Fingerprints are one of the biological characteristics of humans and have a very high uniqueness, so they can be used in security-related occasions such as biometrics and rights management.
- face recognition technology as a new recognition technology, has been applied in smart terminals to achieve security protection for smart terminals.
- fingerprint recognition technology or face recognition technology is usually used for individual recognition.
- the fingerprint recognition technology extracts the overall and local features of the fingerprint, and then compares and verifies the features entered in advance.
- Face recognition usually uses a camera or a camera to collect images or video streams containing faces, and automatically detects and tracks faces in the images, and then performs face recognition on the detected faces.
- biometric recognition is performed through fingerprint recognition technology or face recognition technology.
- the biometric recognition cannot be accurately performed, and the Ensure the accuracy and efficiency of biometrics.
- This application provides a biometric device, device, method, and storage medium.
- the present application provides a biometrics identification device, including: a fingerprint collection module, a face image collection module and a control module, wherein the fingerprint collection module and the face image collection module are respectively connected to the control module; the fingerprint collection module is used for Collect fingerprint images; face image acquisition module, used to collect face images; control module, used to acquire fingerprint images from the fingerprint acquisition module, and face images from the face image acquisition module; also based on fingerprint images and presets The matching degree of the fingerprint image and the matching degree of the face image and the preset face image determine the biometric recognition result.
- the fingerprint image collection module collects the fingerprint image and the face image collection module collects the face image, and the control module according to the matching degree of the fingerprint image and the preset fingerprint image and the face image and the preset face image The matching degree is judged to determine the biometric recognition result, thereby improving the accuracy rate and biometric efficiency of the biometric recognition.
- control module is specifically configured to: according to the security level of the application currently running based on the biometric recognition result, determine that the matching degree between the fingerprint image and the preset fingerprint image exceeds the first threshold, and / or the face image and the preset person If the matching degree of the face image exceeds the second threshold, the biometric recognition result passes.
- the security level of the current application By setting the security level of the current application, according to the security level of the application, it is determined that the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, and / or the matching of the face image and the preset face image If the degree exceeds the second preset threshold, the biometric recognition result is passed, which determines whether the biometric recognition result is passed according to different security levels of the application program, thereby ensuring the accuracy of the biometric recognition and the security of the terminal device.
- control module is also used to: if the security level of the current application is equal to or higher than the set security level, if the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, and the face image and If the matching degree of the face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the security level of the current application is equal to or higher than the set security level, it is determined that the matching degree between the fingerprint image and the preset fingerprint image exceeds the first threshold, and the face image and the preset face image When the matching degree exceeds the second threshold, it is determined that the biometric recognition result is passed, which ensures the reliability of the biometric recognition and the security of the terminal device.
- control module is also used to: if the security level of the current application is lower than the set security level, if the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, or the face image and the preset person If the matching degree of the face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- control module is further configured to: determine the first threshold according to ambient light.
- control module is further configured to: if the ambient light does not meet the brightness threshold, decrease the first threshold.
- control module is also used for: if the ambient light does not meet the brightness threshold, the matching degree between the fingerprint image and the preset fingerprint image exceeds the reduced first threshold, and the matching degree between the face image and the preset face image is not If it is lower than the third threshold, it is determined that the biometric result is passed.
- the matching degree between the fingerprint image and the preset fingerprint image exceeds the reduced first threshold, and the matching degree between the face image and the preset face image is compared with the third threshold , And then determine whether the biometric recognition result is passed, which realizes further judgment of the biometric recognition result in the case of low ambient light, and improves the efficiency of biometric recognition.
- control module is further configured to: if the matching degree of the fingerprint image and the preset fingerprint image is not lower than the fourth threshold, decrease the second threshold.
- the fingerprint collection module is set at the lower part of the display screen of the terminal device, and the face image collection module is set at the upper part of the display screen of the terminal device.
- the fingerprint collection module and the face image collection module are both set at the lower part of the display screen of the terminal device.
- the fingerprint collection module and the face image collection module are integrated and integrated.
- the present application provides a terminal device, including the biometric device in the first aspect or the optional manner of the first aspect.
- the present application provides a biometrics recognition method, which includes: separately collecting a fingerprint image and a face image; according to the matching degree of the fingerprint image and the preset fingerprint image, and the matching degree of the face image and the preset face image, Determine biometric results.
- the biometric recognition result is determined according to the matching degree of the fingerprint image and the preset fingerprint image, and the matching degree of the face image and the preset face image, including: according to the security level of the application currently running based on the biometric result , It is determined that the degree of matching between the fingerprint image and the preset fingerprint image exceeds the first threshold, and / or the degree of matching between the face image and the preset face image exceeds the second threshold, and the biometric result is passed.
- the biometric recognition result is passed, specifically including: if the security level of the current application is equal to or higher than the set security level, then if the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, and the face If the matching degree of the image and the preset face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the biometric recognition result is passed, and also includes: if the security level of the current application is lower than the set security level, if the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, or, the face image and If the matching degree of the preset face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the method before determining that the biometric recognition result passes, the method further includes: determining the first threshold according to ambient light.
- determining the first threshold according to the ambient light includes: if the ambient light does not meet the brightness threshold, reducing the first threshold.
- determining that the biometric recognition result passes includes: if the ambient light does not meet the brightness threshold, the matching degree of the fingerprint image and the preset fingerprint image exceeds the reduced first threshold, and the matching of the face image and the preset face image If the degree is not lower than the third threshold, it is determined that the biometric recognition result passes.
- the biometric recognition result before determining that the biometric recognition result is passed, it further includes: if the degree of matching between the fingerprint image and the preset fingerprint image is lower than the fourth threshold, reducing the first threshold.
- the present application provides a computer storage medium, the storage medium including computer instructions, which when executed by a computer, causes the computer to implement the biometrics method of the third aspect or the alternative mode of the third aspect.
- the present application provides a computer program product, including computer instructions, which when executed by a computer, causes the computer to implement the third aspect or the alternative biometrics method of the third aspect.
- the present application provides a biological identification device, equipment, method and storage medium, including: a fingerprint collection module, a face image collection module and a control module, wherein the fingerprint collection module and the face image collection module are respectively connected to the control module; the fingerprint collection module , Used to collect fingerprint images; face image acquisition module, used to collect face images; control module, used to acquire fingerprint images from the fingerprint acquisition module, and face images from the face image acquisition module; also used to capture fingerprint images
- the degree of matching with the preset fingerprint image and the degree of matching between the face image and the preset face image determine the biometric recognition result. Since the embodiment of the present application can determine the biometric recognition result according to the matching degree of the fingerprint image and the preset fingerprint image and the matching degree of the face image and the preset face image, the accuracy and efficiency of biometric recognition are improved.
- FIG. 1 is an exemplary application scenario diagram of an embodiment of this application
- FIG. 2A is a schematic structural diagram of a biometrics identification device according to an embodiment of the application.
- FIG. 2B is a schematic diagram of the hardware structure of a biometrics identification device according to an embodiment of the application.
- 3A is a schematic structural diagram of a biometrics identification device according to yet another embodiment of the present application.
- FIG. 3B is a schematic diagram of a hardware structure of a biometric device provided by yet another embodiment of the present application.
- FIG. 4 is a schematic flowchart of a biometrics identification method according to an embodiment of the application.
- Biometric recognition through fingerprint recognition technology or face recognition technology usually using fingerprint recognition technology alone or face recognition technology alone for biometric recognition, in the scene where the fingerprint cannot be recognized or the face cannot be recognized, or there are fake fingers or fake
- biometrics cannot be accurately performed, and thus the accuracy and efficiency of biometrics cannot be guaranteed.
- embodiments of the present application provide a biometric device, device, method, and storage medium.
- FIG. 1 is an exemplary application scenario diagram of the embodiment of the present application.
- the terminal device is provided with a face image sensor 2 above the display screen 1 .
- the user transmits the user ’s face image information to the control module 3 through the face image sensor 2, and determines whether the face image matches the user ’s face image template through the control module 3, and then determines whether it is a legitimate user.
- a fingerprint image sensor 4 Below the display screen 1 of the device, there is a fingerprint image sensor 4, the user can touch the screen position of the fingerprint image sensor 4 by using a finger, and the fingerprint image sensor 4 passes the user's fingerprint information to the control module 3, and through the control Module 3 determines whether the face image matches the user's fingerprint image template, and then determines whether the current finger is the user's legal finger.
- the control module 3 determines whether the face image matches the user's fingerprint image template, and then determines whether the current finger is the user's legal finger.
- FIG. 2A is a schematic structural diagram of a biometric device provided by an embodiment of the present application.
- the structural schematic diagram of the biometric device shown in the embodiment of the present application is only an exemplary structural schematic diagram.
- the device includes : Fingerprint collection module 11, face image collection module 12 and control module 13, wherein the fingerprint collection module 11, face image collection module 12 is connected to the control module 13, respectively.
- the fingerprint collection module 11 is used to collect fingerprint images; the face image collection module 12 is used to collect face images; the control module 13 is used to obtain fingerprint images from the fingerprint collection module and face images from the face image collection module; It is also used to determine the biometric recognition result according to the matching degree between the fingerprint image and the preset fingerprint image and the matching degree between the face image and the preset face image.
- the fingerprint collection mode of the fingerprint collection module 11 may be an optical type, a silicon chip type, or an ultrasonic type.
- the embodiment of the present application does not specifically limit the fingerprint collection mode of the fingerprint collection module.
- the fingerprint collection method in the embodiment of the present application may be an optical type.
- the optical type uses an organic light-emitting diode (Organic Light-Emitting Diode, OLED) screen without a backlight panel, and is basically transparent.
- Optical detection is placed behind the screen Sensors, such as fingerprint image sensors, use camera-like technology to capture fingerprint images to complete fingerprint image collection.
- the fingerprint collection module 11 may include a fingerprint image sensor and a readout circuit.
- the fingerprint image sensor is used to capture the fingerprint image, and the readout circuit reads out the collected fingerprint image and sends it to the control module 13.
- the face image acquisition module 12 may recognize a face by placing a face recognition sensor, such as a face image sensor, behind a liquid crystal display (LCD) screen or an OLED screen, and collect a face image.
- a face recognition sensor such as a face image sensor
- LCD liquid crystal display
- OLED organic light-emitting diode
- the face image collection module 12 may include a face image sensor and a readout circuit.
- the face image sensor is used to collect the face image, and the readout circuit reads out the collected face image and sends it to the control module 13.
- the fingerprint collection module 11 and the face image collection module 12 are both arranged behind the display screen of the terminal device.
- the embodiments of the present invention do not limit the specific positions of the fingerprint collection module and the face image collection module.
- 2B is a schematic diagram of the hardware structure of the biometric device provided by an embodiment of the present application.
- the fingerprint collection module 11 is provided at the lower part of the terminal device display screen 14
- the face image collection module 12 is provided at the terminal device display screen The upper part of 14.
- FIG. 2A the fingerprint collection module 11 is provided at the lower part of the terminal device display screen 14
- the face image collection module 12 is provided at the terminal device display screen The upper part of 14.
- the screen of the terminal device may be a screen saver 21, a touch layer 22, and a display screen 23, wherein the screen saver 21 may be glass, and the fingerprint image sensor 24 is arranged behind the OLED display screen 23, and the fingerprint The image sensor 24 is connected to a readout circuit 25 for reading out the fingerprint image collected by the fingerprint image sensor 24.
- the face image sensor 26 is provided at the other end of the display screen corresponding to the fingerprint image sensor 24.
- the display screen 23 may be The LCD screen or the OLED screen is connected to the face image sensor 26 with a readout circuit 27 for reading the face image collected by the face image sensor 26.
- FIG. 3A is a schematic structural diagram of a biometric device provided by yet another embodiment of the present application
- 3B is a schematic structural hardware diagram of a biometric device provided by yet another embodiment of the present application, as shown in FIG. 3A.
- the fingerprint collection module 11 and the face image collection module 12 are both provided at the lower part of the display screen 14 of the terminal device.
- the screen of the terminal device may be a screen protection layer 21, a touch layer 22, and a display screen 23.
- the screen protection layer 21 may be glass
- the display screen 23 may be an LCD display screen or an OLED display screen.
- the fingerprint image sensor 24 is disposed behind the display screen 23.
- the biometric device further includes: a readout circuit 25, which is connected to the fingerprint image sensor 24 and used to read the fingerprint image sensor 24 Fingerprint picture.
- the face image sensor 26 may also be arranged behind the display screen 23.
- the biometric device further includes: a readout circuit 27, which is connected to the face image sensor 26 for reading The face image collected by the face image sensor 26.
- the face image sensor 26 and the fingerprint image sensor 24 may be located in the same module.
- the face image sensor 26 and the fingerprint image sensor 24 may be provided in the same semiconductor circuit.
- the face image sensor 26, the readout circuit 25, the fingerprint image sensor 24 and the readout circuit 27 may be located in the same module.
- the face image sensor 26 and the fingerprint image sensor 24 may be provided in the same semiconductor circuit.
- the biometric device may further include: a preprocessing module 28, which is connected to the readout circuit 25 and the readout circuit 27, and is used to perform preliminary preprocessing on the collected face image and fingerprint image .
- the pre-processed face image and fingerprint image are sent to the control module, and the control module performs biometric recognition on the pre-processed face image and fingerprint image.
- the preprocessing of the collected face images and fingerprint images may be operations such as binarizing the face images and fingerprint images or extracting feature points of the face images and fingerprint images.
- the specific operation mode of the processing operation is not limited, as long as it can be preprocessed to facilitate biometric recognition of the processed face image or fingerprint image in the control module.
- the collected fingerprint image and the face image can be read out through the corresponding readout circuits and sent to the control module, and the control module Obtain the fingerprint image and the face image, and match the fingerprint image with the preset fingerprint image according to the detailed feature points in the fingerprint image, and match the face image with the preset fingerprint image according to the detailed feature points in the face image Finally, according to the matching degree of the fingerprint image and the preset fingerprint image, and the matching degree of the face image and the preset face image, the biometric recognition result is determined.
- the preset fingerprint image and the preset face image may be the fingerprint image and the face image input by the user in the terminal device.
- the control module can be the central processing unit (CPU) of the terminal device, the graphics processor (GPU) of the terminal device, or the microcontroller unit (MCU) of the terminal device.
- CPU central processing unit
- GPU graphics processor
- MCU microcontroller unit
- the biometric recognition result can be determined by judging whether the matching degree of the fingerprint image and the preset fingerprint image reaches the preset threshold of the fingerprint matching degree, or whether the matching degree of the face image and the preset face image reaches the preset threshold of the face matching degree, Furthermore, it is determined whether the biometric recognition result is passed.
- the specific values of the preset threshold of the fingerprint matching degree and the preset threshold of the face matching degree can be set according to actual conditions, and this embodiment of the present application does not limit this.
- condition that the biometric recognition result is passed may be that the matching degree of the fingerprint image and the preset fingerprint image reaches the preset threshold value of the fingerprint matching degree, or that the matching degree of the face image and the preset face image reaches the pre-matching degree.
- the embodiment of the present application does not limit the judgment condition for the biometric recognition result being passed, and can be set according to actual conditions.
- the embodiment of the present application can determine the biometric recognition result according to the matching degree of the fingerprint image and the preset fingerprint image and the matching degree of the face image and the preset face image, thereby improving the accuracy rate of the biometric recognition And efficiency.
- the control module may determine that the degree of matching between the fingerprint image and the preset fingerprint image exceeds the first threshold according to the security level of the application currently running based on the biometric recognition result to determine whether the biometric recognition result is passed, or based on the face image and It is determined that the matching degree of the face image exceeds the second threshold to determine that the biometric recognition result passes, or if both of the foregoing exceed the threshold value, the biometric recognition result is determined to pass.
- the security level of the application can be automatically set or manually set according to the privacy of the application
- identification and terminal download applications require biometrics
- it can be set to a lower security level.
- WeChat micropayments or transfers involving personal and property security
- it can be set to a medium security level.
- Alipay large payment or transfer WeChat large payment or transfer, etc.
- it can be set to a high security level. According to different security levels, it is necessary to meet different biometric recognition result judgment conditions before proceeding to the next operation.
- Different biometric recognition result judgment conditions may be that the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, or that the matching degree of the face image and the preset face image exceeds the second threshold, or that both the fingerprint image and the preset are satisfied
- the matching degree of the fingerprint image exceeds the first threshold, and the matching degree of the face image and the preset face image exceeds the second threshold.
- the first threshold and the second threshold can be set according to actual conditions, and the specific values of the first threshold and the second threshold are not limited in this embodiment of the present invention.
- control module is further configured to: if the security level of the current application is equal to or higher than the set security level, if the matching degree between the fingerprint image and the preset fingerprint image exceeds the first threshold, And, if the matching degree between the face image and the preset face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the security level of the application if the current application is Alipay, and its security level is higher than the set security level, in the process of using Alipay, if biometrics is required, Only when the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, and the matching degree of the face image and the preset face image exceeds the second threshold, is it determined that the biometric recognition result is passed, and the next operation can be performed , To ensure the reliability of biometrics and the security of terminal equipment.
- control module is further configured to: if the security level of the current application is lower than the set security level, if the matching degree between the fingerprint image and the preset fingerprint image exceeds the first threshold, Or, if the matching degree of the face image and the preset face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the current application is an application store, and its security level is lower than the set security level
- biometrics are required, only the matching between the fingerprint image and the preset fingerprint image is required If the degree exceeds the first threshold, or the matching degree of the face image and the preset face image exceeds the second threshold, it can be determined that the biometric recognition result is passed, and the next operation can be performed, which improves the efficiency of biometric recognition.
- the biometric recognition result is passed, which determines whether the biometric recognition result is passed according to different security levels of the application program, thereby ensuring the accuracy and efficiency of biometric recognition.
- embodiments of the present invention also provide various flexible and diverse recognition methods.
- the face image recognized under different light environments is not clear enough or the fingerprint image is not clear enough, which is further explained in the embodiments of the present application.
- the control module is further used to determine the first threshold according to the ambient light.
- the face image collected by the face image collection module is a clear image, and the first threshold is determined at this time, which can more objectively and accurately determine whether the matching degree between the fingerprint image and the preset fingerprint image meets the biometrics conditions .
- control module can also be used to: if the ambient light does not meet the brightness threshold, reduce the first threshold.
- the face image collected by the face image collection module may be an unclear image.
- the matching degree of the face image and the preset face image may not exceed the second threshold, and thus cannot pass Face recognition determines the user's identity, and at this time, the user's identity cannot be identified by fingerprint recognition.
- the first threshold can be lowered. The reduction of the first threshold should not be too large, to ensure that the user can be accurately identified In the case of identity, to further improve the user experience, optionally, the first threshold can be reduced by 5%.
- a third threshold can be additionally set to ensure that the When the light is dim, make a preparation judgment on the biometric result.
- the control module can also determine whether the ambient light does not meet the brightness threshold, the matching degree between the fingerprint image and the preset fingerprint image exceeds the reduced first threshold, and the matching degree between the face image and the preset face image is not low At the third threshold, it is determined that the biometric recognition result passes. In the case where the ambient light does not meet the brightness threshold, the matching degree of the face image collected by the face image collection module and the preset face image may not exceed the second threshold.
- the third threshold can be set in the face image
- the matching degree with the preset face image is not lower than the third threshold, and the matching degree between the fingerprint image and the preset image exceeds the lowered first threshold, the biometric recognition result can be achieved in the case of low ambient light Further judgments have improved the efficiency of biometrics.
- the third threshold is less than the second threshold, and the setting of the third threshold should be within a reasonable range.
- the embodiment of the present invention does not limit the specific value of the third threshold.
- the control module when the fingerprint image is not clear enough, for example, the fingerprint image is unclear due to a relatively dry or humid finger, combined with the determination of whether the biometric recognition result is passed by the face image, the control module is also used to: If the matching degree between the fingerprint image and the preset fingerprint image is not lower than the fourth threshold, the second threshold is lowered.
- the fourth threshold is less than the first threshold, and the setting of the fourth threshold should be within a reasonable range.
- the embodiment of the present invention does not limit the specific value of the fourth threshold, optional, The fourth threshold may be 95% of the first threshold.
- the reduction of the second threshold should not be too large. Under the condition that the user identity can be accurately identified, the user experience is further improved.
- the second threshold can be reduced by 5%.
- the matching degree between the fingerprint image and the preset fingerprint image is close to the first threshold, and the matching degree between the face image and the preset face image is close to the second threshold, It is determined that the biometric recognition result is passed, thereby further improving the user experience while ensuring that the user identity can be accurately identified.
- FIG. 4 is a schematic flowchart of a biometrics identification method according to an embodiment of the application, including:
- Step S401 Collect fingerprint images and face images separately.
- Step S402 Determine the biometric recognition result according to the degree of matching between the fingerprint image and the preset fingerprint image and the degree of matching between the face image and the preset face image.
- the biometric recognition result is determined according to the matching degree of the fingerprint image and the preset fingerprint image, and the matching degree of the face image and the preset face image, including: according to the security level of the application currently running based on the biometric result , It is determined that the degree of matching between the fingerprint image and the preset fingerprint image exceeds the first threshold, and / or the degree of matching between the face image and the preset face image exceeds the second threshold, and the biometric result is passed.
- the biometric recognition result is passed, specifically including: if the security level of the current application is equal to or higher than the set security level, then if the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, and the face If the matching degree of the image and the preset face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the biometric recognition result is passed, and also includes: if the security level of the current application is lower than the set security level, if the matching degree of the fingerprint image and the preset fingerprint image exceeds the first threshold, or, the face image and If the matching degree of the preset face image exceeds the second threshold, it is determined that the biometric recognition result passes.
- the method before determining that the biometric recognition result passes, the method further includes: determining the first threshold according to ambient light.
- determining the first threshold according to the ambient light includes: if the ambient light does not meet the brightness threshold, reducing the first threshold.
- determining that the biometric recognition result passes includes: if the ambient light does not meet the brightness threshold, the matching degree of the fingerprint image and the preset fingerprint image exceeds the reduced first threshold, and the matching of the face image and the preset face image If the degree is not lower than the third threshold, it is determined that the biometric recognition result passes.
- the biometric recognition result before determining that the biometric recognition result is passed, it further includes: if the degree of matching between the fingerprint image and the preset fingerprint image is lower than the fourth threshold, reducing the first threshold.
- the content and effect of the biometric method, device, storage medium, and program product provided by the embodiments of the present application can be referred to the device section, which is not limited in the embodiments of the present application.
- An embodiment of the present application further provides a terminal device.
- the terminal device includes the biometrics identification device in the foregoing embodiment.
- An embodiment of the present application further provides a computer storage medium.
- the storage medium includes computer instructions. When the instructions are executed by the computer, the computer is enabled to implement the biometrics recognition method as described above.
- An embodiment of the present application further provides a computer program product, including: computer instructions, which when executed by the computer, cause the computer to implement the biometrics recognition method as described above.
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Abstract
本申请提供一种生物识别装置、设备、方法及存储介质，包括：指纹采集模块、人脸图像采集模块和控制模块，其中所述指纹采集模块、人脸图像采集模块分别和所述控制模块连接；指纹采集模块，用于采集指纹图像；人脸图像采集模块，用于采集人脸图像；控制模块，用于从指纹采集模块获取指纹图像，从人脸图像采集模块获取人脸图像；还用于根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。从而提高了生物识别的准确率和生物识别效率。
Description
本申请涉及生物识别技术领域，尤其涉及一种生物识别装置、设备、方法及存储介质。
随着移动互联网的发展，用户通过智能终端(例如手机、平板电脑等)能做很多的事情，与此同时，对智能终端进行安全保护也日益重要。指纹是人身上的生物特征之一，具有非常高的独特性，因而可以用于生物识别，权限管理等安全相关的场合。另外，人脸识别技术作为一种新的识别技术，目前已被应用在智能终端中，以实现对智能终端的安全保护。
现有技术中，通常使用指纹识别技术或人脸识别技术单独识别，指纹识别技术通过提取指纹的总体特征和局部特征，再与提前录入的特征进行比对、验证。人脸识别通常是用摄像机或摄像头采集含有人脸的图像或视频流，并自动在图像中检测和跟踪人脸，进而对检测到的人脸进行脸部识别。
然而现有技术中，通过指纹识别技术或人脸识别技术进行生物识别，在手指无法识别或人脸无法识别的场景或存在假手指或假脸的情况下，无法准确的进行生物识别，进而无法保证生物识别的准确率和效率。
发明内容
本申请提供一种生物识别装置、设备、方法及存储介质。
第一方面，本申请提供一种生物识别装置，包括：指纹采集模块、人脸图像采集模块和控制模块，其中指纹采集模块、人脸图像采集模块分别和控制模块连接；指纹采集模块，用于采集指纹图像；人脸图像采集模块，用于采集人脸图像；控制模块，用于从指纹采集模块获取指纹图像，从人脸图像采集模块获取人脸图像；还用于根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。
由于本申请实施例中通过指纹采集模块采集指纹图像和人脸图像采集模 块采集人脸图像，并通过控制模块根据指纹图像与预设指纹图像的匹配度和人脸图像与预设人脸图像的匹配度进行判断，确定生物识别结果，从而提高了生物识别的准确率和生物识别效率。
可选的，控制模块具体用于：根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过。
通过对当前应用程序的安全级别进行设定，根据应用程序的安全级别，确定满足指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二预设阈值，则生物识别结果通过，实现了根据应用程序的不同安全级别，判断生物识别结果是否通过，进而保证了生物识别的准确性及终端设备的安全性。
可选的，控制模块还用于：若当前应用程序的安全级别等于或高于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，且，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
本方案中，通过对当前应用程序的安全级别等于或高于设定安全级别的情况下，判断指纹图像与预设指纹图像的匹配度超过第一阈值，而且人脸图像与预设人脸图像的匹配度超过第二阈值时，则确定生物识别结果通过，保证了生物识别的可靠性以及终端设备的安全性。
可选的，控制模块还用于：若当前应用程序的安全级别低于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，或，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
本方案中，通过对当前应用程序的安全级别低于设定安全级别的情况下，判断当指纹图像与预设指纹图像的匹配度超过第一阈值，或，人脸图像与预设人脸图像的匹配度超过第二阈值时，则确定生物识别结果通过，提高了生物识别的效率。
可选的，控制模块还用于：根据环境光线来确定第一阈值。
可选的，控制模块还用于：若环境光线不满足亮度阈值，则降低第一阈值。
可选的，控制模块还用于：若环境光线不满足亮度阈值，指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，且人脸图像与预设人脸图像的 匹配度不低于第三阈值，则确定生物识别结果通过。
本方案中，通过环境光线不满足亮度阈值，指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，通过对人脸图像与预设人脸图像的匹配度与第三阈值进行比较，进而确定生物识别结果是否通过，实现了在环境光线较暗的情况下，对生物识别结果的进一步判断，提高了生物识别的效率。
可选的，控制模块还用于：若指纹图像与预设指纹图像的匹配度不低于第四阈值，则降低第二阈值。
可选的，指纹采集模块设置在终端设备显示屏幕的下部，人脸图像采集模块设置在终端设备显示屏幕的上部。
可选的，指纹采集模块和人脸图像采集模块均设置在终端设备显示屏幕的下部。
可选的，指纹采集模块和人脸图像采集模块一体集成设置。
下面将介绍设备、方法、存储介质及计算机程序产品，其效果可参考装置部分的效果，下面对此不再赘述。
第二方面，本申请提供一种终端设备，包括第一方面或第一方面可选方式的生物识别装置。
第三方面，本申请提供一种生物识别方法，包括：分别采集指纹图像和人脸图像；根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。
可选的，根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果，包括：根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过。
可选的，根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过，具体包括：若当前应用程序的安全级别等于或高于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，且，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
可选的，根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过，还包括：若当前应用程序的安全级别低于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，或，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
可选的，确定生物识别结果通过之前，还包括：根据环境光线来确定第一阈值。
可选的，根据环境光线来确定第一阈值，包括：若环境光线不满足亮度阈值，则降低第一阈值。
可选的，确定生物识别结果通过，包括：若环境光线不满足亮度阈值，指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，且人脸图像与预设人脸图像的匹配度不低于第三阈值，则确定生物识别结果通过。
可选的，确定生物识别结果通过之前，还包括：若指纹图像与预设指纹图像的匹配度低于第四阈值，则降低第一阈值。
第四方面，本申请提供一种计算机存储介质，存储介质包括计算机指令，当指令被计算机执行时，使得计算机实现第三方面或第三方面的可选方式的生物识别方法。
第五方面，本申请提供一种计算机程序产品，包括计算机指令，当指令被计算机执行时，使得计算机实现第三方面或第三方面的可选方式的生物识别方法。
本申请提供一种生物识别装置、设备、方法及存储介质，包括：指纹采集模块、人脸图像采集模块和控制模块，其中指纹采集模块、人脸图像采集模块分别和控制模块连接；指纹采集模块，用于采集指纹图像；人脸图像采集模块，用于采集人脸图像；控制模块，用于从指纹采集模块获取指纹图像，从人脸图像采集模块获取人脸图像；还用于根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。由于本申请实施例可以根据指纹图像与预设指纹图像的匹配度以及人脸图像与预设人脸图像的匹配度确定生物识别结果，从而提高了生物识别的准确率和效率。
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本申请实施例的一示例性的应用场景图；
图2A为本申请一实施例提供的生物识别装置的结构示意图；
图2B为本申请一实施例提供的生物识别装置的硬件结构示意图；
图3A为本申请再一实施例提供的生物识别装置的结构示意图；
图3B为本申请再一实施例提供的生物识别装置的硬件结构示意图；
图4为本申请一实施例提供的生物识别方法的流程示意图。
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例，例如能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
通过指纹识别技术或人脸识别技术进行生物识别，通常是单独使用指纹识别技术或单独使用人脸识别技术进行生物识别，在指纹无法识别或人脸无 法识别的场景下，或存在假手指或假脸的情况下，无法准确的进行生物识别，进而无法保证生物识别的准确率和效率。为了解决这些技术问题，本申请实施例提供一种生物识别装置、设备、方法及存储介质。
以下，首先对本申请实施例的应用场景进行介绍，图1为本申请实施例的一示例性的应用场景图，如图1所示，终端设备显示屏幕1背后的上方，设置有人脸图像传感器2，用户通过人脸图像传感器2将用户的人脸图像信息传输至控制模块3，并通过控制模块3进行判断该人脸图像是否与用户人脸图像模板匹配，进而判断是否为合法用户，在终端设备显示屏幕1背后的下方，设置有指纹图像传感器4，用户可以通过使用手指触摸该指纹图像传感器4所在的屏幕位置，通过该指纹图像传感器4将用户指纹信息传递至控制模块3，并通过控制模块3进行判断该人脸图像是否与用户指纹图像模板匹配，进而判断当前手指是否为用户合法手指。基于上述应用场景，本申请实施例提供一种生物识别装置、设备、方法及存储介质。
图2A为本申请一实施例提供的生物识别装置的结构示意图，其中，本申请实施例中所示的生物识别装置的结构示意图仅为示例性的结构示意图，如图2A所示，该装置包括：指纹采集模块11、人脸图像采集模块12和控制模块13，其中指纹采集模块11、人脸图像采集模块12分别和控制模块13连接。
指纹采集模块11，用于采集指纹图像；人脸图像采集模块12，用于采集人脸图像；控制模块13，用于从指纹采集模块获取指纹图像，从人脸图像采集模块获取人脸图像；还用于根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。
指纹采集模块11的指纹采集方式可以是光学式、硅芯片式以及超声波式等方式，本申请实施例对指纹采集模块的指纹采集方式不做具体限制。示例性的，本申请实施例中的指纹采集方式可以是光学式，光学式是利用有机发光二极管(Organic Light-Emitting Diode，OLED)屏幕没有背光板，基本透明的特点，在屏幕后面放置光学检测传感器，比如指纹图像传感器，用类似摄像头的技术，把指纹图像拍摄下来，完成指纹图像的采集。
指纹采集模块11可以包括指纹图像传感器和读出电路，指纹图像传感器用于将指纹图像拍摄下来，读出电路将采集到的指纹图像读出，发送至控制 模块13。
人脸图像采集模块12可以通过在液晶显示器(Liquid Crystal Display，LCD)屏幕或OLED屏幕后面放置人脸识别传感器，比如人脸图像传感器，对人脸进行识别，并采集人脸图像。
人脸图像采集模块12可以包括人脸图像传感器和读出电路，人脸图像传感器用于将人脸图像采集下来，读出电路将采集到的人脸图像读出，发送至控制模块13。
指纹采集模块11和人脸图像采集模块12均设置在终端设备显示屏幕的后面，本发明实施例对指纹采集模块和人脸图像采集模块的具体位置不做限制，在一种可能的实施方式中，2B为本申请一实施例提供的生物识别装置的硬件结构示意图，如图2A所示，指纹采集模块11设置在终端设备显示屏幕14的下部，人脸图像采集模块12设置在终端设备显示屏幕14的上部。如图2B所示，终端设备的屏幕可以为屏幕保护21、触控层22和显示屏幕23三层，其中屏幕保护21可以为玻璃，指纹图像传感器24设置在OLED显示屏幕23的后面，与指纹图像传感器24连接的是读出电路25，用于读出指纹图像传感器24采集到的指纹图片，人脸图像传感器26设置在与指纹图像传感器24对应显示屏幕的另一端，其显示屏幕23可以是LCD屏或者是OLED屏，且与人脸图像传感器26连接有读出电路27，用于读出人脸图像传感器26采集的人脸图像。
在另一种可能的实施方式中，图3A为本申请再一实施例提供的生物识别装置的结构示意图，3B为本申请再一实施例提供的生物识别装置的硬件结构示意图，如图3A所示，指纹采集模块11和人脸图像采集模块12均设置在终端设备显示屏幕14的下部，如图3B所示，终端设备的屏幕可以为屏幕保护层21、触控层22和显示屏幕23三层，其中屏幕保护层21可以为玻璃，显示屏幕23可以是LCD显示屏幕或者OLED显示屏幕。指纹图像传感器24设置在显示屏幕23的后面，可选地，该生物识别装置还包括：读出电路25，该读出电路25与指纹图像传感器24连接，用于读出指纹图像传感器24采集到的指纹图片。同样地，人脸图像传感器26也可以设置在显示屏幕23的后面，可选地，该生物识别装置还包括：读出电路27，该读出电路27与人脸图像传感器26连接，用于读出人脸图像传感器26采集的人脸图像。为了更 加经济化和更高的集成度，可选地，人脸图像传感器26与指纹图像传感器24可以位于同一个模组中。例如可以把人脸图像传感器26和指纹图像传感器24设置在同一个半导体电路中。或者，人脸图像传感器26、读出电路25、指纹图像传感器24和读出电路27可以位于同一个模组中。例如可以把人脸图像传感器26和指纹图像传感器24设置在同一个半导体电路中。
进一步地，该生物识别装置还可以包括：预处理模块28，该预处理模块28与读出电路25、读出电路27连接，用于对采集到的人脸图像和指纹图像进行初步的预处理。将预处理后的人脸图像和指纹图像发送至控制模块，控制模块对预处理后的人脸图像和指纹图像进行生物识别。具体的，对采集到的人脸图像和指纹图像的预处理可以是将人脸图像和指纹图像进行二值化操作或提取人脸图像和指纹图像的特征点等操作，本发明实施例对预处理操作的具体操作方式不做限制，只要能够通过预处理，方便将处理后的人脸图像或指纹图像在控制模块中进行生物识别即可。
在指纹采集模块和人脸图像采集模块分别采集到指纹图像和人脸图像之后，可以分别通过相应的读出电路将采集到的指纹图像和人脸图像读出，并发送至控制模块，控制模块获取指纹图像和人脸图像，并根据指纹图像中的细节特征点，将指纹图像与预设指纹图像进行匹配，根据人脸图像中的细节特征点，将人脸图像与预设指纹图像进行匹配，最后根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。其中，预设指纹图像和预设人脸图像可以是用户在终端设备中输入的指纹图像和人脸图像。
控制模块可以是终端设备的中央处理器(Central Processing Unit，CPU)，可以是终端设备的图像处理器(Graphics Processing Unit，GPU)，也可以使终端设备的微控制单元(Microcontroller Unit，MCU)，本申请实施例对控制模块的具体形式不做限制。
生物识别结果的确定可以通过判断指纹图像与预设指纹图像的匹配度是否达到指纹匹配度预设阈值，或者人脸图像与预设人脸图像的匹配度是否达到人脸匹配度预设阈值，进而判断生物识别结果是否为通过。在本申请实施例中，指纹匹配度预设阈值和人脸匹配度预设阈值的具体值可以通过实际情况进行设置，本申请实施例对此不做限制。另外，生物识别结果为通过的条 件可以是满足指纹图像与预设指纹图像的匹配度达到指纹匹配度预设阈值，或者满足人脸图像与预设人脸图像的匹配度达到人脸匹配度预设阈值，或者是二者同时满足。本申请实施例对生物识别结果为通过的判定条件不做限制，可以根据实际情况进行设定。
在本申请实施例中，由于本申请实施例可以根据指纹图像与预设指纹图像的匹配度以及人脸图像与预设人脸图像的匹配度确定生物识别结果，从而提高了生物识别的准确率和效率。
在上述实施例的基础上，为了增加对手机应用操作的安全性，可以根据当前所运行的应用程序的安全性来判断生物识别结果是否通过。可选的，控制模块可以根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值来确定生物识别结果通过，还可以根据人脸图像与预设人脸图像的匹配度超过第二阈值来确定生物识别结果通过，或者在前面两者都超过阈值的情况下来确定生物识别结果通过。
在不同的应用场合下，对生物识别的安全级别有不同的要求，在本发明实施例中，可以根据应用程序的隐私性进行自动设置或手动设置应用程序的安全级别，比如，在终端开机生物识别、终端下载应用需要生物识别的情况下，可以设置为较低安全级别，在支付宝小额支付或转账、微信小额支付或转账等涉及人身财产安全的情况下，可以设置为中安全级别，在支付宝大额支付或转账、微信大额支付或转账等情况下，可以设置为高安全级别。针对不同的安全级别，需要满足不同的生物识别结果判断条件，才可以进行下一步操作。
不同的生物识别结果判断条件可以是指纹图像与预设指纹图像的匹配度超过第一阈值，或者人脸图像与预设人脸图像的匹配度超过第二阈值，或者同时满足指纹图像与预设指纹图像的匹配度超过第一阈值，且人脸图像与预设人脸图像的匹配度超过第二阈值。其中，第一阈值与第二阈值可以根据实际情况进行设定，本发明实施例对第一阈值和第二阈值的具体值不做限制。
例如，在一种可能的实施方式中，控制模块还用于：若当前应用程序的安全级别等于或高于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，且，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
具体的，在对应用程序的安全级别进行设定的基础上，若当前应用程序为支付宝，其安全级别高于设定安全级别，则在使用支付宝的过程中，需要进行生物识别的情况下，需要同时满足指纹图像与预设指纹图像的匹配度超过第一阈值，且，人脸图像与预设人脸图像的匹配度超过第二阈值，才确定生物识别结果通过，并可以进行下一步操作，保证了生物识别的可靠性以及终端设备的安全性。
再例如，在另一种可能的实施方式中，控制模块还用于：若当前应用程序的安全级别低于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，或，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
具体的，若当前应用程序为应用商店，其安全级别低于设定安全级别，则在使用应用商店的过程中，需要进行生物识别的情况下，只需要满足指纹图像与预设指纹图像的匹配度超过第一阈值，或，人脸图像与预设人脸图像的匹配度超过第二阈值，便可以确定生物识别结果通过，并可以进行下一步操作，提高了生物识别的效率。
在本实施例中，通过对当前应用程序的安全级别进行设定，根据应用程序的安全级别，确定满足指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二预设阈值，则生物识别结果通过，实现了根据应用程序的不同安全级别，判断生物识别结果是否通过，进而保证了生物识别的准确性和效率。
在上述实施例的基础上，为了针对不同使用场景提高识别的灵活性及准确性，以便用户得到更好的使用体验，本发明实施例还提供了各种灵活多样的识别方式。在一种场景下，针对不同的光线环境下识别的人脸图像清晰度不够或指纹图像清晰度不够的情形，本申请实施例对此进一步说明。
可选的，为了实现在环境光线较弱导致人脸图像清晰度不够的情况下，结合指纹识别进一步的判定生物识别结果是否通过，控制模块还用于：根据环境光线来确定第一阈值。在环境光线正常的情况下，人脸图像采集模块采集到的人脸图像为清晰图像，此时确定第一阈值，可以更客观准确的判断指纹图像与预设指纹图像匹配度是否满足生物识别条件。
可选的，控制模块还可以用于：若环境光线不满足亮度阈值，则降低第 一阈值。在环境光线不满足亮度阈值时，人脸图像采集模块采集到的人脸图像可能为不清晰图像，此时人脸图像与预设人脸图像的匹配度可能不超过第二阈值，进而无法通过人脸识别判断出用户身份，并且此时也无法通过指纹识别的方式识别用户身份，在这种情况下，可以降低第一阈值，第一阈值的降低程度不宜过大，在保证可以准确识别用户身份的情况下，进一步提高用户体验，可选的，第一阈值可以降低5％。
另外，在第一阈值降低的情况下，为了保证最终识别结果的准确性，人脸图像与预设人脸图像的匹配度也不宜过低，因此，可以额外设置第三阈值，以保证可以在光线较暗的情况下，对生物识别结果进行准备的判断。在该场景下，控制模块还可以在环境光线不满足亮度阈值，指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，且人脸图像与预设人脸图像的匹配度不低于第三阈值，则确定生物识别结果通过。在环境光线不满足亮度阈值的情况下，人脸图像采集模块采集到人脸图像与预设人脸图像的匹配度可能不超过第二阈值，此时可以通过设置第三阈值，在人脸图像与预设人脸图像的匹配度不低于第三阈值，且指纹图像与预设图像的匹配度超过降低后的第一阈值时，实现在环境光线较暗的情况下，对生物识别结果的进一步判断，提高了生物识别的效率。
其中，第三阈值小于第二阈值，且第三阈值的设定应在合理范围之内，本发明实施例对第三阈值的具体值不做限制，通过设置第三阈值，实现了人脸图像与预设人脸图像的匹配度接近第二阈值，且指纹图像与预设指纹图像的匹配度接近第一阈值的情况下，判定生物识别结果通过，进而实现了在保证可以准确识别用户身份的情况下，进一步提升用户体验，可选的，第三阈值可以是第二阈值的95％。
在另一种实施场景下，指纹图像清晰度不够的情况下，例如：手指比较干燥或特别潮湿导致指纹图像不清晰，结合人脸图像对生物识别结果是否通过的判定，控制模块还用于：若指纹图像与预设指纹图像的匹配度不低于第四阈值，则降低第二阈值。
具体的，通过设置第四阈值，第四阈值小于第一阈值，且第四阈值的设定应在合理范围之内，本发明实施例对第四阈值的具体值不做限制，可选的，第四阈值可以是第一阈值的95％。第二阈值的降低程度也不宜过大，在保证 可以准确识别用户身份的情况下，进一步提高用户体验，可选的，第二阈值可以降低5％。
通过设置第四阈值，并降低第二阈值，实现了指纹图像与预设指纹图像的匹配度接近第一阈值，且人脸图像与预设人脸图像的匹配度接近第二阈值的情况下，判定生物识别结果通过，进而实现了在保证可以准确识别用户身份的情况下，进一步提升用户体验。
本申请实施例中，通过在不同的情况下，降低第一阈值与第二阈值的大小，结合指纹识别与人脸识别，共同判断生物识别结果是否通过，不仅提高了生物识别的效率，而且提升了用户体验。
本申请实施例还提供一种生物识别方法，图4为本申请一实施例提供的生物识别方法的流程示意图，包括：
步骤S401：分别采集指纹图像和人脸图像。
步骤S402：根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果。
可选的，根据指纹图像与预设指纹图像的匹配度，以及人脸图像与预设人脸图像的匹配度，确定生物识别结果，包括：根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过。
可选的，根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过，具体包括：若当前应用程序的安全级别等于或高于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，且，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定生物识别结果通过。
可选的，根据当前基于生物识别结果运行的应用程序的安全级别，确定指纹图像与预设指纹图像的匹配度超过第一阈值，和/或人脸图像与预设人脸图像的匹配度超过第二阈值，则生物识别结果通过，还包括：若当前应用程序的安全级别低于设定安全级别，则若指纹图像与预设指纹图像的匹配度超过第一阈值，或，人脸图像与预设人脸图像的匹配度超过第二阈值，则确定 生物识别结果通过。
可选的，确定生物识别结果通过之前，还包括：根据环境光线来确定第一阈值。
可选的，根据环境光线来确定第一阈值，包括：若环境光线不满足亮度阈值，则降低第一阈值。
可选的，确定生物识别结果通过，包括：若环境光线不满足亮度阈值，指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，且人脸图像与预设人脸图像的匹配度不低于第三阈值，则确定生物识别结果通过。
可选的，确定生物识别结果通过之前，还包括：若指纹图像与预设指纹图像的匹配度低于第四阈值，则降低第一阈值。
本申请实施例提供的生物识别方法、设备、存储介质以及程序产品，其内容和效果可参考装置部分，本申请实施例对此不做限制。
本申请一实施例还提供一种终端设备，终端设备包括上述实施例中的生物识别装置。
本申请一实施例还提供一种计算机存储介质，存储介质包括计算机指令，当指令被计算机执行时，使得计算机实现如上述的生物识别方法。
本申请一实施例还提供一种计算机程序产品，包括：计算机指令，当指令被计算机执行时，使得计算机实现如上述的生物识别方法。
本领域普通技术人员可以理解：实现上述各方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成。前述的程序可以存储于一计算机可读取存储介质中。该程序在执行时，执行包括上述各方法实施例的步骤；而前述的存储介质包括：ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上各实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述各实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的范围。
Claims (21)
- 一种生物识别装置，其特征在于，包括：指纹采集模块、人脸图像采集模块和控制模块，其中所述指纹采集模块、人脸图像采集模块分别和所述控制模块连接；所述指纹采集模块，用于采集指纹图像；所述人脸图像采集模块，用于采集人脸图像；所述控制模块，用于从所述指纹采集模块获取所述指纹图像，从所述人脸图像采集模块获取所述人脸图像；还用于根据所述指纹图像与预设指纹图像的匹配度，以及所述人脸图像与预设人脸图像的匹配度，确定生物识别结果。
- 根据权利要求1所述的装置，其特征在于，所述控制模块具体用于：根据当前基于所述生物识别结果运行的应用程序的安全级别，确定所述指纹图像与预设指纹图像的匹配度超过第一阈值，和/或所述人脸图像与预设人脸图像的匹配度超过第二阈值，则所述生物识别结果通过。
- 根据权利要求2所述的装置，其特征在于，所述控制模块还用于：若当前应用程序的安全级别等于或高于设定安全级别，则若所述指纹图像与预设指纹图像的匹配度超过所述第一阈值，且，所述人脸图像与预设人脸图像的匹配度超过所述第二阈值，则确定所述生物识别结果通过。
- 根据权利要求2或3所述的装置，其特征在于，所述控制模块还用于：若当前应用程序的安全级别低于设定安全级别，则若所述指纹图像与预设指纹图像的匹配度超过所述第一阈值，或，所述人脸图像与预设人脸图像的匹配度超过所述第二阈值，则确定所述生物识别结果通过。
- 根据权利要求4所述的装置，其特征在于，所述控制模块还用于：根据环境光线来确定所述第一阈值。
- 根据权利要求5所述的装置，其特征在于，所述控制模块还用于：若所述环境光线不满足亮度阈值，则降低所述第一阈值。
- 根据权利要求6所述的装置，其特征在于，所述控制模块还用于：若所述环境光线不满足亮度阈值，所述指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，且所述人脸图像与预设人脸图像的匹配度不低于第三阈值，则确定所述生物识别结果通过。
- 根据权利要求4所述的装置，其特征在于，所述控制模块还用于：若所述指纹图像与预设指纹图像的匹配度不低于第四阈值，则降低所述第二阈值。
- 根据权利要求1-3任一项所述的装置，其特征在于，所述指纹采集模块设置在终端设备显示屏幕的下部，所述人脸图像采集模块设置在所述终端设备显示屏幕的上部。
- 根据权利要求1-3任一项所述的装置，其特征在于，所述指纹采集模块和所述人脸图像采集模块均设置在终端设备显示屏幕的下部。
- 根据权利要求10所述的装置，其特征在于，所述指纹采集模块和所述人脸图像采集模块一体集成设置。
- 一种终端设备，其特征在于，包括权利要求1-11任一项所述的生物识别装置。
- 一种生物识别方法，其特征在于，包括：分别获取采集的指纹图像和人脸图像；根据所述指纹图像与预设指纹图像的匹配度，以及所述人脸图像与预设人脸图像的匹配度，确定生物识别结果。
- 根据权利要求13所述的方法，其特征在于，所述根据所述指纹图像与预设指纹图像的匹配度，以及所述人脸图像与预设人脸图像的匹配度，确定生物识别结果，包括：根据当前基于所述生物识别结果运行的应用程序的安全级别，确定所述指纹图像与预设指纹图像的匹配度超过第一阈值，和/或所述人脸图像与预设人脸图像的匹配度超过第二阈值，则所述生物识别结果通过。
- 根据权利要求14所述的方法，其特征在于，根据当前基于所述生物识别结果运行的应用程序的安全级别，确定所述指纹图像与预设指纹图像的匹配度超过第一阈值，和/或所述人脸图像与预设人脸图像的匹配度超过第二阈值，则所述生物识别结果通过，具体包括：若当前应用程序的安全级别等于或高于设定安全级别，则若所述指纹图像与预设指纹图像的匹配度超过所述第一阈值，且，所述人脸图像与预设人脸图像的匹配度超过所述第二阈值，则确定所述生物识别结果通过。
- 根据权利要求14或15所述的方法，其特征在于，根据当前基于所 述生物识别结果运行的应用程序的安全级别，确定所述指纹图像与预设指纹图像的匹配度超过第一阈值，和/或所述人脸图像与预设人脸图像的匹配度超过第二阈值，则所述生物识别结果通过，还包括：若当前应用程序的安全级别低于设定安全级别，则若所述指纹图像与预设指纹图像的匹配度超过所述第一阈值，或，所述人脸图像与预设人脸图像的匹配度超过所述第二阈值，则确定所述生物识别结果通过。
- 根据权利要求16所述的方法，其特征在于，所述确定所述生物识别结果通过之前，还包括：根据环境光线来确定所述第一阈值。
- 根据权利要求17所述的方法，其特征在于，所述根据环境光线来确定所述第一阈值，包括：若所述环境光线不满足亮度阈值，则降低所述第一阈值。
- 根据权利要求18所述的方法，其特征在于，所述确定所述生物识别结果通过，包括：若所述环境光线不满足亮度阈值，所述指纹图像与预设指纹图像的匹配度超过降低后的第一阈值，且所述人脸图像与预设人脸图像的匹配度不低于第三阈值，则确定所述生物识别结果通过。
- 根据权利要求16所述的方法，其特征在于，所述确定所述生物识别结果通过之前，还包括：若所述指纹图像与预设指纹图像的匹配度低于第四阈值，则降低所述第一阈值。
- 一种计算机存储介质，其特征在于，所述存储介质包括计算机指令，当所述指令被计算机执行时，使得所述计算机实现如权利要求13至20中任一项权利要求所述的方法。
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