WO2022032479A1 - Procédé et appareil de reconnaissance d'empreinte digitale, et dispositif de terminal - Google Patents

Procédé et appareil de reconnaissance d'empreinte digitale, et dispositif de terminal Download PDF

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Publication number
WO2022032479A1
WO2022032479A1 PCT/CN2020/108437 CN2020108437W WO2022032479A1 WO 2022032479 A1 WO2022032479 A1 WO 2022032479A1 CN 2020108437 W CN2020108437 W CN 2020108437W WO 2022032479 A1 WO2022032479 A1 WO 2022032479A1
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preset
intensity
signal
finger
user
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PCT/CN2020/108437
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English (en)
Chinese (zh)
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胡泽望
姚国峰
沈健
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深圳市汇顶科技股份有限公司
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Priority to PCT/CN2020/108437 priority Critical patent/WO2022032479A1/fr
Publication of WO2022032479A1 publication Critical patent/WO2022032479A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition

Definitions

  • the present application relates to the technical field of fingerprint identification, and in particular, to a fingerprint identification method, device and terminal device.
  • Fingerprint recognition is one of the more effective and commonly used types.
  • terminal devices with a display screen users expect a high screen-to-body ratio, and the under-screen optical fingerprint recognition solution can meet the two requirements of information security and high screen-to-body ratio at the same time.
  • the valleys and ridges of the finger have different reflectivity to the light incident on the finger, which can form a fingerprint pattern with light and dark contrast, and the feature information of the fingerprint image is extracted and compared.
  • Fingerprint recognition is possible.
  • all screens are used as display screens, and an area of the screen is used as a fingerprint recognition area.
  • the acquired fingerprint image has less fingerprint feature information or even no finger feature information can be obtained.
  • the finger only covers part of the fingerprint recognition area the light existing in the environment easily passes through the edge of the finger, and enters the optical image acquisition module of the fingerprint recognition module through the screen, which will cause the signal-to-noise ratio of the fingerprint image to decrease.
  • the terminal device will still perform fingerprint identification according to the normal process in the above-mentioned situations, which may easily lead to identification failure and increase the authenticity rejection rate.
  • the present application provides a fingerprint identification method, device and terminal device, which are used to solve the problems of easy identification failure and high rejection rate in the existing fingerprint identification scheme, ensure the accuracy of fingerprint identification, and avoid the problems caused by invalid pressing. High rejection rate.
  • an embodiment of the present application provides a fingerprint identification method, which is applied to a terminal device.
  • the terminal device includes a fingerprint identification device, and the fingerprint identification device includes an optical image acquisition module, and the optical image acquisition module includes a pixel array.
  • the method includes:
  • the identity of the user is verified based on the fingerprint image.
  • the method further includes:
  • prompt information is pushed, and the prompt information is used to prompt the user to reposition the finger, or the fingerprint recognition fails, or the fingerprint recognition process ends.
  • the Methods when it is detected that the user's finger touches the fingerprint recognition area of the terminal device, before collecting multiple optical signals of the preset feature area in the pixel array through multiple exposures, the Methods also include:
  • the preset feature area is determined from the preset at least one feature area according to the security level.
  • the collecting multiple signals of the preset feature area in the pixel array by multiple exposures includes:
  • the short exposure signal collection is performed for a preset number of times in the preset characteristic area with a first preset exposure time, so as to obtain a plurality of optical signals in the preset characteristic area.
  • the pixels in the preset characteristic area acquire the plurality of optical signals in a pixel stacking manner.
  • the determining whether the user's finger covers the preset feature region according to multiple light signals of the preset feature region includes:
  • a coefficient of variation of the optical signal intensity in the preset feature area is obtained, where the coefficient of variation is used to represent the intensity of the optical signal in the preset feature area degree of change;
  • the coefficient of variation is greater than a preset coefficient of variation threshold, it is determined that the user's finger covers the preset feature area
  • the method further includes:
  • the coefficient of variation threshold is determined according to the intensity of the ambient light signal.
  • the determining of the coefficient of variation threshold according to the intensity of the ambient light signal includes:
  • the threshold change value corresponding to the difference is increased or decreased on the standard coefficient of variation threshold to obtain the coefficient of variation threshold.
  • the determining whether the user's finger covers the preset feature region according to multiple light signals of the preset feature region includes:
  • Whether the user's finger covers the preset feature area is determined according to the ratio of the decrease in the signal strength of the second optical signal compared to the first optical signal and a preset ratio.
  • the excitation light source used in collecting the optical signal is an infrared light source
  • the determination of the intensity reduction ratio of the second optical signal compared with that of the first optical signal and a preset ratio is performed. Whether the user's finger covers the preset feature area, including:
  • the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, and the appearance time of the first optical signal is later than the appearance time of the second optical signal, then determining that the user's finger covers the preset feature area;
  • the ratio according to the decrease in the intensity of the second optical signal compared to the first optical signal and a preset ratio to determine whether the user's finger covers the preset feature area including:
  • the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, and the appearance time of the first optical signal is earlier than the appearance time of the second optical signal, then determining that the user's finger covers the preset feature area;
  • the method further includes:
  • the preset ratio is determined according to the intensity of the ambient light signal.
  • the determining the preset ratio according to the intensity of the ambient light signal includes:
  • the ratio change value corresponding to the difference value is increased or decreased from the standard ratio to obtain the preset ratio.
  • the method further includes:
  • the living body judgment conditions include:
  • None of the last three optical signals collected in the plurality of optical signals is a second optical signal, and the second optical signal is an optical signal with the lowest signal intensity among the plurality of optical signals;
  • coefficients of variation of all optical signals following the second optical signal in the plurality of optical signals are greater than a first preset threshold
  • the increase of the signal intensity of the optical signal detected last time among the plurality of optical signals compared with the signal intensity of the second optical signal is greater than a second preset threshold.
  • an embodiment of the present application provides a fingerprint identification device, the fingerprint identification device includes an optical image acquisition module, the optical image acquisition module includes a pixel array, and the device further includes:
  • the optical image acquisition module is configured to collect a plurality of optical signals of a preset feature area in the pixel array through multiple exposures when it is detected that the user's finger touches the fingerprint identification area of the fingerprint identification device;
  • a processing module configured to determine whether the user's finger covers the preset feature region according to a plurality of optical signals in the preset feature region
  • the optical image acquisition module is further configured to acquire a fingerprint image if the user's finger covers the preset feature area;
  • the processing module is further configured to verify the identity of the user according to the fingerprint image.
  • the device further includes: a display module, and the processing module is further configured to push prompt information through the display module if the user's finger does not cover the preset feature area, and the The prompt information is used to prompt the user to reposition the finger, or the fingerprint recognition fails, or to end the fingerprint recognition process.
  • processing module is further used for:
  • the preset feature area is determined from the preset at least one feature area according to the security level.
  • the optical image acquisition module is specifically used for:
  • the short exposure signal collection is performed for a preset number of times in the preset characteristic area with a first preset exposure time, so as to obtain a plurality of optical signals in the preset characteristic area.
  • the optical image acquisition module is specifically configured to acquire the plurality of optical signals for the pixels in the preset characteristic area in a pixel superposition manner.
  • the processing module is specifically used for:
  • a coefficient of variation of the optical signal intensity in the preset feature area is obtained, where the coefficient of variation is used to represent the intensity of the optical signal in the preset feature area degree of change;
  • the coefficient of variation is greater than a preset coefficient of variation threshold, it is determined that the user's finger covers the preset feature area
  • processing module is further used for:
  • the coefficient of variation threshold is determined according to the intensity of the ambient light signal.
  • the processing module is specifically used for:
  • the threshold change value corresponding to the difference is increased or decreased on the standard coefficient of variation threshold to obtain the coefficient of variation threshold.
  • the processing module is specifically used for:
  • Whether the user's finger covers the preset feature area is determined according to the ratio of the decrease in the signal strength of the second optical signal compared to the first optical signal and a preset ratio.
  • the processing module is specifically used for:
  • the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, and the appearance time of the first optical signal is later than the appearance time of the second optical signal, then determining that the user's finger covers the preset feature area;
  • the processing module is specifically configured to:
  • the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, and the appearance time of the first optical signal is earlier than the appearance time of the second optical signal, then determining that the user's finger covers the preset feature area;
  • processing module is further used for:
  • the preset ratio is determined according to the intensity of the ambient light signal.
  • the processing module is specifically used for:
  • the ratio change value corresponding to the difference value is increased or decreased from the standard ratio to obtain the preset ratio.
  • processing module is further used for:
  • the living body judgment conditions include:
  • None of the last three optical signals collected in the plurality of optical signals is a second optical signal, and the second optical signal is an optical signal with the lowest signal intensity among the plurality of optical signals;
  • coefficients of variation of all optical signals following the second optical signal in the plurality of optical signals are greater than a first preset threshold
  • the increase of the signal intensity of the last detected optical signal among the plurality of optical signals compared with the signal intensity of the second optical signal is greater than a second preset threshold.
  • an embodiment of the present application provides a terminal device, including:
  • Processor memory, display screen, touch control module, and fingerprint identification device
  • the memory is used to store computer programs
  • the fingerprint identification device includes an optical image acquisition module, and the optical image acquisition module includes a pixel array;
  • the processor executes the computer program stored in the memory, so that the terminal device executes the fingerprint identification method described in any one of the first face-to-face.
  • a color filter is provided in the pixel array, and the wavelength band range through which the color filter passes includes a wavelength band used for fingerprint identification.
  • an embodiment of the present application provides a storage medium, including: a readable storage medium and a computer program, where the computer program is stored in the readable storage medium, and the computer program is used to implement any one of the first aspect The fingerprint identification method described in item.
  • the terminal device in this solution includes a fingerprint identification device, and the fingerprint identification device includes an optical image acquisition module, and the optical image acquisition module includes a pixel array.
  • the fingerprint identification device includes an optical image acquisition module
  • the optical image acquisition module includes a pixel array.
  • a prompt message will be pushed to prompt the user to reposition the finger or end the fingerprint identification process.
  • the fingerprint image verification is performed after the coverage is completed.
  • FIG. 1 is a schematic diagram of a front structure of a terminal device provided by an embodiment of the present application
  • FIG. 2 is a schematic diagram of a partial cross-sectional structure of a terminal device along A-A' provided by an embodiment of the present application;
  • FIG. 3 is a schematic diagram of a fingerprint identification scenario provided by an embodiment of the present application.
  • FIG. 4 is a schematic diagram of a fingerprint image collected during fingerprint identification according to an embodiment of the present application.
  • FIG. 5 is a schematic diagram of the composition and structure of a terminal device according to an embodiment of the present application.
  • FIG. 6 is a schematic flowchart of Embodiment 1 of the fingerprint identification method provided by the embodiment of the present application.
  • FIG. 7 is a schematic flowchart of Embodiment 2 of the fingerprint identification method provided by the embodiment of the present application.
  • FIG. 8 is a schematic diagram of a preset feature area provided by an embodiment of the present application.
  • FIG. 9 is a schematic diagram of the signal strength of an optical signal according to an embodiment of the present application.
  • Fig. 10 is the working state schematic diagram of the terminal device fingerprint identification module that changes with time provided by the embodiment of the application;
  • FIG. 11 is a schematic flowchart of Embodiment 3 of the fingerprint identification method provided by the embodiment of the present application.
  • FIG. 12 is a schematic diagram of a pixel array of an optical image collection module provided by an embodiment of the present application.
  • FIG. 13 is a schematic diagram of an optical signal intensity change provided by an embodiment of the present application.
  • FIG. 14 is a schematic structural diagram of Embodiment 1 of a fingerprint identification device provided by an embodiment of the present application.
  • FIG. 15 is a schematic structural diagram of Embodiment 2 of a fingerprint identification device provided by an embodiment of the present application.
  • FIG. 16 is a schematic structural diagram of a terminal device provided by an embodiment of the present application.
  • the mechanism of identifying and verifying the user's biometric features is widely used in terminal devices, and fingerprint recognition is a relatively common type.
  • fingerprint recognition is a relatively common type.
  • the terminal device will also perform fingerprint recognition according to the normal process, which may easily lead to fingerprint recognition failure and rejection of authenticity. rate increased.
  • the embodiments of the present application provide a fingerprint identification method, which can quickly determine whether a user's finger will cover certain characteristic areas of the image sensor, such as the central area of the fingerprint identification area, so as to ensure that the fingerprints obtained subsequently
  • the image can have enough feature information and high enough signal-to-noise ratio.
  • the main idea of this solution is to set several fixed characteristic areas in the fingerprint recognition area by means of software or hardware.
  • the fingerprint image recognition process is carried out in the follow-up time, so as to avoid the direct recognition failure due to the inappropriate position of the user's finger, which can ensure that the fingerprint image has sufficient feature information and signal-to-noise ratio, and avoid the problem of increasing the false rejection rate caused by invalid pressing.
  • the fingerprint identification method provided by the embodiment of the present application can be mainly applied to the field of optical fingerprint identification. Further, it can be applied to various terminal devices using optical fingerprint identification, such as mobile computing devices such as smart phones, notebook computers, tablet computers, game devices, etc., as well as electronic databases, automobiles, and bank automatic teller machines (automated teller machine, ATM). and other terminal devices that require fingerprint identification.
  • mobile computing devices such as smart phones, notebook computers, tablet computers, game devices, etc.
  • electronic databases such as automobiles, and bank automatic teller machines (automated teller machine, ATM).
  • ATM bank automatic teller machines
  • Fig. 1 is a schematic diagram of a front structure of a terminal device provided by an embodiment of the present application
  • Fig. 2 is a schematic diagram of a partial cross-sectional structure of a terminal device provided by an embodiment of the present application along A-A'.
  • a display screen 110 is included, and a fingerprint identification area 115 for fingerprint identification is provided therein.
  • fingerprint identification is performed.
  • the figure shows that the valley 142 and ridge 141 of the finger reflect the light 150 incident on the finger, and the reflected light 151 passes through the display screen 150 and enters the pixels 122 in the pixel array 121, which can form a band
  • the terminal device performs fingerprint identification through the acquired fingerprint patterns.
  • the display screen 150 or other layers at least have a touch control function in the fingerprint identification area 115 for judging whether the pressing finger touches the fingerprint identification area 115, and the touch control Functions may be implemented by capacitive touch control or resistive touch control or pressure sensitive touch control, including but not limited to.
  • FIG. 3 is a schematic diagram of a fingerprint recognition scenario provided by an embodiment of the present application.
  • the alignment quality of the user's finger pressing position and the position of the fingerprint recognition area will affect the fingerprint obtained by the image acquisition module. images are affected.
  • the situation shown in (a) on the left side of FIG. 3 is a situation in which the pressing position of the finger 140 and the fingerprint recognition area 115 are well aligned.
  • the situation shown in (b) on the left side of FIG. 3 is a situation in which the alignment quality between the finger pressing position and the fingerprint recognition area is poor.
  • FIG. 4 is a schematic diagram of a fingerprint image collected during fingerprint identification according to an embodiment of the present application.
  • the fingerprint image collected by the optical image collection module in the two cases is shown in FIG. 4 .
  • the area with fingerprint information occupies a larger area of the entire image, and more feature information can be extracted.
  • the alignment quality between the pressing position of the finger 140 and the fingerprint identification area 115 is poor, in the collected image, the area with fingerprint information occupies a smaller proportion of the entire image area, and less feature information can be extracted.
  • FIG. 5 is a schematic diagram of the composition and structure of a terminal device provided by an embodiment of the present application.
  • the fingerprint identification solution proposed by the present application uses a shorter The exposure time quickly collects the light signals collected by the pixels in the characteristic area (images are not collected in this process), and further analyzes the signal changes to determine whether the user's finger covers the characteristic area, which can be one or more. For example, some pixels at the center of the pixel array may be selected as feature regions.
  • the finger image collected by the optical image acquisition module for a long time exposure can ensure that the fingerprint information can cover the middle area of the fingerprint acquisition image, ensure that the fingerprint information accounts for a large proportion of the entire image, and can extract enough information. feature point information.
  • the terminal device to which the fingerprint identification method provided by the present application is applied at least needs to include: a touch control module, an excitation light source, an optical image acquisition module and a signal processing module.
  • the pixels of a feature area may be consecutive adjacent pixels of m rows and n columns, where m and n are both positive integers greater than or equal to 1.
  • the number of rows and columns of pixels may be different or the same, which is not limited in this solution.
  • FIG. 6 is a schematic flowchart of Embodiment 1 of the fingerprint identification method provided by the embodiment of the present application. As shown in FIG. 6 , the fingerprint identification method specifically includes the following steps:
  • the terminal device In this step, during the running process of the terminal device, in scenarios such as unlocking, payment, and login of some application programs, the user's identity can be verified by means of fingerprint recognition. In these cases, the terminal device will detect the user's touch operation. After detecting that the user's finger touches the fingerprint recognition area of the terminal device, the terminal device collects multiple optical signals at the preset feature area through multiple exposures in a short period of time. The multiple exposure collection here is only collected at the preset feature area, and it is not necessary to collect the entire fingerprint identification area.
  • the pixels in the preset characteristic area may be subjected to signal collection in a pixel stacking manner to acquire multiple optical signals.
  • the optical signal can be collected by partial pixel stacking (Binning) or all pixels stacking, so as to improve the signal intensity.
  • the preset characteristic area here may be one or more characteristic areas.
  • the area in the fingerprint identification area is marked, and multiple characteristic areas are marked, so that the detection of the characteristic area can be used to determine whether to perform the fingerprint identification process in the future before fingerprint identification.
  • the optical signals of which characteristic areas are acquired is related to the security level of the terminal device currently performing fingerprint identification. For example, for the unlocking scene of the terminal device, one or two characteristic areas can be set for detection. ; But for payment scenarios, the security level is higher, so four or five more feature areas can be set for detection. Different scenarios or different security levels can be pre-configured with characteristic areas to be detected, that is, the above-mentioned preset characteristic areas.
  • S102 Determine whether the user's finger covers the preset characteristic area according to the plurality of light signals in the preset characteristic area.
  • the terminal device may determine whether the user's finger covers the preset feature region by analyzing the features such as the intensity change of the light signal according to the plurality of optical signals detected from the preset feature region.
  • whether the user's finger covers the preset feature area can be determined at least in the following ways:
  • the first way is to obtain a coefficient of variation of the optical signal intensity in the preset feature area according to the collected optical signals in the preset feature area, where the coefficient of variation is used to represent the preset feature The degree of variation in the intensity of the light signal in the area. If the coefficient of variation is greater than a preset coefficient of variation threshold, it is determined that the user's finger covers the preset feature area; otherwise, it is determined that the user's finger does not cover the preset feature area.
  • the coefficient of variation threshold can be adjusted, and the threshold of the coefficient of variation is different in different environments where the terminal equipment is located.
  • the coefficient of variation threshold When the ambient light signal strength is higher, the coefficient of variation threshold can be set larger; when the ambient light signal strength is lower, the coefficient of variation threshold can be set smaller.
  • the coefficient of variation threshold may be determined according to the intensity of the ambient light signal. For example, in one manner, the coefficient of variation threshold corresponding to the intensity of the ambient light signal is acquired according to a preconfigured correspondence between the intensity of the ambient light signal and the threshold of the coefficient of variation.
  • the difference between the intensity of the ambient light signal and the standard ambient light intensity is obtained according to a preset standard ambient light intensity and a standard coefficient of variation threshold, and then increases or decreases on the standard coefficient of variation threshold
  • the threshold change value corresponding to the difference value is used to obtain the coefficient of variation threshold. That is to say, the coefficient of variation threshold can be either a fixed data or data that changes with the intensity of the ambient light, and the specific determination method is not limited in this solution.
  • the coefficient of variation threshold is positively or negatively correlated with the intensity of ambient light.
  • the second method is to acquire a first optical signal with the largest signal intensity and a second optical signal with the smallest signal intensity among the multiple optical signals collected in the preset characteristic area;
  • the ratio and the preset ratio of the first optical signal signal strength reduction are determined to determine whether the user's finger covers the preset feature area.
  • the excitation light source is an infrared light source
  • the infrared light signal gradually becomes stronger, that is to say, the first light signal appears later than the second light signal, and at the same time If the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, it can be determined that the user's finger covers the preset feature area, otherwise it is determined that the user's finger does not cover the preset feature area.
  • the excitation light source is the visible light emitted by the screen
  • the contact area of the user's finger on the terminal device increases, the light signal reflected by the user's finger gradually becomes weaker, that is to say, the first light signal appears earlier than the second light signal. It can be determined that the user's finger covers the preset feature area, otherwise it is determined that the user's finger does not cover the preset feature area.
  • the preset ratio for determining the intensity of the optical signal reduction is also related to the environment where the terminal device is located, so the preset ratio can be determined in advance according to the environment where the terminal device is located.
  • the preset ratio is determined according to the acquired ambient light signal of the terminal device.
  • the preset ratio may be determined according to the intensity of the ambient light signal.
  • the preset ratio corresponding to the intensity of the ambient light signal may be acquired according to the preconfigured correspondence between the intensity of the ambient light signal and the ratio of the intensity change.
  • the difference between the intensity of the ambient light signal and the standard ambient light intensity is acquired according to a preset standard ambient light intensity and a standard ratio of intensity change.
  • the ratio change value corresponding to the difference value is increased or decreased on the standard ratio to obtain the preset ratio.
  • the preset ratio can be either fixed data or data that changes with the intensity of ambient light, and the specific determination method is not limited in this solution.
  • S104 Verify the identity of the user according to the fingerprint image.
  • the pixel array collects an image of the fingerprint recognition area with a long exposure time to obtain a fingerprint image. According to the comparison between the fingerprint image and the authorized feature information, if the fingerprint image matches the feature information, it is determined that the fingerprint authentication is successful, and if the fingerprint image does not match the feature information, it is determined that the fingerprint authentication fails.
  • the terminal device determines that the user's finger does not cover the preset feature area, it can determine that the user has not placed the finger in a suitable position, and the terminal device can remind the user to place the finger again, or remind the end of the fingerprint separation process without directly entering the verification process. .
  • the fingerprint identification method provided in this embodiment determines that the user's finger covers the preset feature area by detecting the optical signal of the preset feature area, and then performs fingerprint image verification after coverage. If the user's finger is not placed in a suitable position, the fingerprint recognition fails or the fingerprint is directly rejected, which reduces the rejection rate of fingerprint recognition.
  • FIG. 7 is a schematic flowchart of Embodiment 2 of the fingerprint identification method provided by the embodiment of the application.
  • the screen of the device is an organic light-emitting diode (Organic Light-Emitting Diode, OLED) screen as an example
  • OLED Organic Light-Emitting Diode
  • the terminal device when entering a fingerprint recognition scenario such as mobile payment, the terminal device prompts the user to perform fingerprint recognition.
  • the prompting method can be lighting on the screen fingerprint identification area of the terminal device; text prompting can be performed on the display screen, etc., including but not limited to this method.
  • S202 The touch screen detects that the finger touches the fingerprint recognition area, and triggers the start of fingerprint recognition.
  • the touch control module of the screen detects that the finger touches the surface of the fingerprint recognition area, the start of fingerprint recognition is triggered.
  • S203 The light-emitting unit of the fingerprint identification area in the display screen emits light.
  • the light-emitting unit in the fingerprint identification area on the display screen emits light for performing coverage detection of the feature area.
  • the characteristic area pixel collects multiple optical signals with a short exposure time for multiple times.
  • the terminal device collects short exposure signals for a preset number of times with a first preset exposure time in the preset characteristic area, to obtain a plurality of optical signals in the preset characteristic area.
  • the first preset exposure time can be set according to actual requirements.
  • the spacing between adjacent ridges of a human finger is about 500 ⁇ m.
  • the light signal collected by the short exposure time of the feature area only comes from the valley of the finger or only from the ridge of the finger, it is necessary to ensure that the light signal collected from the selected feature area includes both the signal from the valley and the signal from the ridge. For example, when the signal collected by the feature area only comes from the valley of the finger, the light emitted on the screen is reflected on the surface of the valley, and the difference between the signal and the signal when the finger does not cover the feature recognition area is small.
  • the information reflected in the preset feature area after passing through the optical system of the fingerprint identification module can cover a range of at least 500 ⁇ m in length and width on the finger.
  • a characteristic area composed of a plurality of pixels at least includes a square area with a side length of 500 ⁇ m.
  • the characteristic area composed of multiple pixels includes at least a square area with a side length of 125 ⁇ m.
  • FIG. 8 is a schematic diagram of a preset feature area provided by this embodiment of the application. As shown in FIG.
  • the overall area 122 of the pixel array of the optical image acquisition module 120 in the fingerprint identification module consists of 200 rows and 200 columns. It consists of 40,000 adjacent pixels, each of which is a square with a side length of 7 ⁇ m.
  • the preset feature area 123 consists of 400 adjacent pixels in 20 rows and 20 columns. The preset feature area is located in the center of the pixel array, and the center of the preset feature area coincides with the center of the pixel array.
  • the optical system adopted in this embodiment can form an image of the object in the fingerprint identification area into an image that is reduced to 1/5 of the original object on the pixel array. Therefore, the signal collected in the characteristic area can reflect the information within the size range of the fingerprint identification area-700 ⁇ m*700 ⁇ m.
  • the 400 pixels in the feature area are in the form of pixel stacking, and the signal is continuously collected for multiple times with a short exposure time t1, where t1 is less than 10ms; for example, t1 can be 1ms, because the pixel stacking method is adopted, and the feature area has fewer pixels , high-frequency sampling can be performed with a short exposure time, and a strong optical signal can be obtained at the same time.
  • S206 Determine whether the user's finger covers the pixels of the feature area.
  • FIG. 9 is a schematic diagram of the signal intensity of an optical signal provided by an embodiment of the present application.
  • the model here refers to the intensity variation model of the optical signal
  • FIG. 9 shows the signal intensity collected by five short exposures with an exposure time of 1 ms in the preset feature area.
  • Change, Fig. 9 (a) shows the change when the finger covers the preset feature area. After the finger presses the screen, the reflectivity of the upper ridge of the finger to light is lower than that when the finger is not pressed. Therefore, as time changes, when the user's finger finally covers the feature area, the signal intensity has a decreasing process.
  • Two feasible models for judging whether the user's finger presses the feature area are provided as follows:
  • the coefficient of variation can be calculated by the optical signals collected five times in the preset characteristic area.
  • a certain threshold that is, the threshold of the coefficient of variation preset in the foregoing embodiment
  • the optical signal collected in the characteristic area is greatly affected by the pressing of the finger, and it is considered that the finger is covered during the pressing process. feature area.
  • the coefficient of variation is lower than 10%, the finger is considered to not cover the characteristic area.
  • the light signal collected by the feature area includes ambient light from non-screen light sources in addition to the light reflected from the screen surface.
  • the existence of external ambient light will affect the intensity of the optical signal collected in the characteristic area.
  • the threshold can be adjusted through an ambient light sensor provided on the terminal device. For example, when the ambient light is dark, the change of the light signal is mainly affected by the finger, and the threshold value of the coefficient of variation can be reduced to 8%.
  • the light signal collected by the feature area is stronger than the signal collected when the outside ambient light is dark.
  • the finger presses the feature area the external ambient light will not enter the feature area due to the occlusion of the finger.
  • the terminal device may obtain the ambient light signal where the terminal device is located in advance, and determine the coefficient of variation threshold according to the intensity of the ambient light signal. In a common implementation manner, the intensity of the ambient light signal is proportional to the threshold value of the coefficient of variation.
  • the highest intensity of the signals collected multiple times in the preset feature area for a short exposure time is I1 (that is, the intensity of the aforementioned first optical signal), and the lowest intensity is I2 (that is, the intensity of the aforementioned second optical signal). strength).
  • a threshold that is, the preset ratio referred to in the foregoing embodiment.
  • the threshold value can be 30%, and when the time when the lowest intensity appears is later than the time when the highest intensity appears, it is considered that the finger is pressing on the feature area;
  • Some ambient light sensors adjust this threshold. For example, when the ambient visible light intensity is 10,000 Lux (Lux), this threshold needs to be increased to 30%. That is to say, the terminal device may obtain the ambient light signal in advance, and determine the preset ratio according to the intensity of the ambient light signal.
  • (b) in FIG. 9 shows the change of signal intensity obtained by using a short exposure time of 1 ms when the user's finger does not effectively cover the feature area.
  • the finger is not covered, since the influence of the finger on the signal strength of the feature area is negligible, the variation of the signal received by the pixels in the feature area is small.
  • the two solutions provided above are the solutions for judging whether the user's finger (fingerprint image) covers the feature area of the pixel array through a simplified model, and the actual model can be obtained by training a large number of scenarios.
  • S207 The pixel array acquires a fingerprint image with a long exposure time.
  • S209 fingerprint image feature information comparison.
  • the entire pixel array acquires the user's fingerprint image with a longer exposure time t2, where t2 is greater than 4 times of t1, and t2 does not exceed 100ms (long exposure time).
  • t2 may be 40ms.
  • FIG. 10 is a schematic diagram of the working state of the fingerprint identification module of a terminal device provided by an embodiment of the application over time. As shown in FIG. 10 , it is a schematic diagram of the working state of the fingerprint identification module over time in a situation where a fingerprint covers a characteristic area. .
  • the touch signal is collected by the user's finger
  • the pixels in the preset feature area in the optical image collection module are triggered to start collecting the light signal with a short exposure time.
  • the signal processing module performs signal processing, it is judged that the user's finger covers the preset characteristic area, triggers a pixel array containing characteristic pixels to collect fingerprint images with a long exposure time, and judges whether the collected fingerprint image characteristic information matches to complete the fingerprint identification process.
  • the determination method may be that the terminal prompts the user with text on the display screen "the finger is not pressed in the correct position, please press again".
  • the technical scheme of this embodiment can quickly and effectively determine whether the fingerprint image will cover the characteristic area of the pixel array. In this way, Before entering the fingerprint image collection and subsequent feature information comparison, it can determine whether the position of the user's finger is appropriate, and when the appropriate position is not covered, the user can be reminded to avoid the failure of fingerprint recognition due to the misplacement of the finger, and reduce rejection. sincere.
  • FIG. 11 is a schematic flowchart of the third embodiment of the fingerprint identification method provided by the embodiment of the application. As shown in FIG. 11 , in different application scenarios, verification of biometric information of different security levels is required, which can ensure a fast and safe terminal application.
  • the fingerprint identification method specifically includes the following steps:
  • S302 Select the number and location of feature areas according to the security level of the scene.
  • S303 The touch screen detects that the finger touches the fingerprint recognition area, and triggers the start of fingerprint recognition.
  • the security level required for payment by using a mobile phone is higher than the security level when the screen of the mobile phone is unlocked.
  • more fingerprint feature information may be required, so it is required that the fingerprint identification device can collect fingerprint images with sufficient feature information.
  • the fingerprint image of the finger needs to have at least 13 matching feature points; in the scenario where the mobile phone performs large-amount payments, the fingerprint image obtained requires at least 15 matching feature points.
  • the larger the number or range of the characteristic areas of the fingerprint recognition area covered by the finger the more fingerprint information in the collected image can be guaranteed to cover more areas of the image, so that more feature point information can be extracted.
  • the terminal device determines and selects the number and/or location of the feature areas according to the scene security level of fingerprint identification.
  • S304 The light-emitting unit of the fingerprint identification area in the display screen emits light.
  • S307 Determine whether the user's finger covers the pixels of the feature area.
  • the terminal device uses a short exposure time to expose the pixels in the selected characteristic area to collect optical signals, and further judges whether the fingerprint image will cover the selected characteristic area in the scene.
  • the number and/or location of the feature areas is different.
  • the required number of feature areas is larger or has a larger range.
  • FIG. 12 is a schematic diagram of a pixel array of an optical image collection module provided by an embodiment of the present application.
  • a lower security level for example, it may be a scenario of unlocking the screen of a mobile phone.
  • 400 pixels in 123 are selected as the feature region, that is, one region is selected as the feature region (the selection position and size of the feature region in the first embodiment are the same).
  • 400 pixels in each area of 124, 125, 126, and 127 are selected as the characteristic area, that is, the four areas are respectively used as the preset characteristic area.
  • the center of the four feature areas is separated from the center of the pixel array by 80 pixels in the horizontal and vertical directions, respectively.
  • the symmetry centers of the four feature regions coincide with the symmetry centers of the pixel array.
  • the four preset feature regions are used to determine whether the finger covers the four feature regions, so as to ensure that the fingerprint image obtained in the final fingerprint identification has sufficient feature information and a high signal-to-noise ratio.
  • the regions 124, 125, 126, and 127 are selected as the feature regions, the light signal changes obtained by the pixels in each region using a short exposure time are compared with the model separately to determine whether the finger covers each feature region.
  • a finger is considered to cover the preset feature area when it is an area.
  • S308 The pixel array acquires a fingerprint image with a long exposure time.
  • S309 Remind the user to reset the finger or terminate the fingerprint identification.
  • S312 The fingerprint authentication is successful.
  • preset feature areas of different numbers and positions can be set, and the preset feature area can be detected before fingerprint authentication is performed, so that the user's finger can be judged. Whether the location is appropriate, whether it covers enough area to obtain the required feature information, and reminds the user when the appropriate location is not covered, improves the accuracy of fingerprint recognition, and avoids fingerprint recognition failure due to misplacement of the finger , reduce the rejection rate.
  • the process of fingerprint identification and detection is performed by using the light emitted by the screen of the terminal device itself as the excitation light source.
  • this embodiment provides a new excitation light source.
  • the excitation light source module used for fingerprint recognition in this solution is not the LCD display screen, and also It can be an infrared light source module with a wavelength of 940 nm located below the screen, that is to say, the excitation light source is an infrared light source.
  • the process of the fingerprint identification method is similar to that shown in FIG. 7 . It should be pointed out that, in this embodiment, the optical signal collected by the image sensor comes from the infrared light scattered by the finger. At this time, the optical signal collected by the optical image collection module from the ridge of the finger is stronger than the signal from the valley of the finger.
  • the model for judging whether the user's finger will cover the characteristic area of the fingerprint identification module is different from the model in FIG. 7 .
  • the two judgment models can be as follows:
  • the coefficient of variation of the optical signals collected multiple times with a short exposure time of the pixels in the characteristic area When the coefficient of variation is greater than a certain threshold, such as 10%.
  • the optical signal collected by the characteristic area is greatly affected by the finger pressing, and it can be considered that the finger covers the characteristic area during the pressing process.
  • the light signal collected by the feature area includes not only the red light reflected from the finger, but also the external infrared light reflected from the non-finger. The presence of external light will affect the signal strength collected in the characteristic area, and the variation can be adjusted through the ambient light sensor on the terminal. For example, when the infrared light in the external environment is weak, the signal change is mainly affected by the finger.
  • the threshold for the coefficient of variation can be raised to 12%.
  • the signal collected by the preset feature area comes from the external environment infrared light; when the finger presses the preset feature area, the external environment infrared light due to the finger The occlusion of less enters the preset feature area.
  • the coefficient of variation of the signals collected for multiple times will be reduced due to the influence of ambient infrared light, and the threshold of the coefficient of variation can be lowered. For example, when the ambient infrared light intensity is 3000 Lux (Lux), the coefficient of variation threshold needs to be adjusted to 7%.
  • the terminal device can obtain the ambient light signal in advance, and then determine the coefficient of variation threshold according to the intensity of the ambient light signal; wherein, the intensity of the ambient light signal is related to the intensity of the ambient light signal.
  • the coefficient of variation is proportional to the threshold size.
  • the highest intensity of the optical signal collected by the terminal device in the preset feature area for a short exposure time is I4 (the intensity of the first optical signal), and the lowest intensity is I5 (the intensity of the second optical signal).
  • I4 the intensity of the first optical signal
  • I5 the intensity of the second optical signal
  • the threshold value ie, the preset ratio
  • the time when the highest intensity appears is later than the time when the lowest intensity appears, it is considered that the finger is pressing on the characteristic area.
  • the threshold may be 40%.
  • this threshold can be adjusted through the ambient infrared light sensor provided by the terminal. Specifically, when the ambient light intensity is strong, the threshold value needs to be lowered, and when the ambient infrared light intensity is weak, the preset ratio needs to be increased, that is, the threshold value at which the signal strength is reduced.
  • the models for judging whether the user's finger covers the preset feature area in the fingerprint recognition area are not necessarily the same, and the models can be updated according to changes in the terminal device.
  • the excitation light source used when the terminal device collects the optical signal is an infrared light source, and the ratio of the intensity reduction of the second optical signal with the lowest intensity to the first optical signal with the highest intensity exceeds the preset ratio. and the appearance time of the first optical signal is later than the appearance time of the second optical signal, it can be determined that the user's finger covers the preset feature area; otherwise, it is determined that the user's finger does not cover the preset feature area. Set feature area.
  • the excitation light source used by the terminal device to collect the optical signal is the visible light emitted by the screen of the terminal device
  • the intensity of the second optical signal with the lowest intensity decreases compared to the first optical signal with the highest intensity by a ratio that exceeds the intensity reduction ratio of the second optical signal with the lowest intensity
  • the preset ratio, and the appearance time of the first optical signal is earlier than the appearance time of the second optical signal, then it is determined that the user's finger covers the preset feature area; otherwise, it is determined that the user's finger does not cover the entire area. the preset feature area.
  • the infrared light source can also be used as the excitation light source to quickly and effectively determine whether the fingerprint image will cover the characteristic area of the pixel array. Before entering the fingerprint image collection and subsequent feature information comparison, it can judge whether the position of the user's finger is appropriate, and when the appropriate position is not covered, the user can be reminded to avoid the failure of fingerprint recognition caused by the misplacement of the finger, and reduce the Refusal.
  • the embodiment of the present application also provides a method for determining whether the user's finger of the touch operation is a living body in a fingerprint identification process.
  • the solution for detecting whether the user's finger is a living body is described below by taking the case that the excitation light source in the terminal device is the visible light emitted by the screen of the terminal device.
  • a color filter in the optical image acquisition module of the terminal device, can be set for the pixels in the above-mentioned preset characteristic area, and the wavelength band range transmitted by the color filter includes the wavelength band used for fingerprint identification. Pixels in different feature regions may have the same or different color filters. Or different pixels in the same feature area may also have different color filters, which is not limited to this solution.
  • the main function of the color filter is to improve the signal-to-noise ratio of the optical signal.
  • the hemoglobin on the surface of the finger gradually weakens the absorption of non-red light, that is, the absorption of blue and green light.
  • the absorption of light is weakened. If the pixel in the characteristic area is provided with a blue or green color filter, the reflection of blue or green light will be enhanced in the process of gradually turning white during the pressing process of the finger.
  • the model training it is possible to determine the change of the characteristics of the living finger when fingerprint recognition is performed, obtain the living judgment condition, and configure the living judgment condition in the terminal device.
  • the terminal device collects multiple optical signals in the preset feature area, it determines whether the user's finger is a living body. Specifically, if the collected optical signals of the preset feature area satisfy the living body judgment condition, it is determined that the user's finger is a living body; otherwise, the user's finger is a non-living body.
  • acquiring the judgment condition may include: none of the multiple optical signals (for example, three optical signals) collected last in the multiple optical signals are not the second optical signal, and the second optical signal is The optical signal with the lowest signal intensity among the plurality of optical signals; the coefficient of variation of all the optical signals after the second optical signal with the lowest signal intensity among the plurality of optical signals is greater than the first preset threshold; the plurality of optical signals The increase of the signal intensity of the last detected optical signal in the signal compared to the signal intensity of the second optical signal is greater than the second preset threshold.
  • FIG. 13 provides an embodiment of the present application with a Schematic diagram of the change of light signal intensity.
  • (a) in Fig. 13 shows the signal change acquired by the living finger.
  • the coefficient of variation must be greater than a threshold. This threshold can be 8%. The specific value of the threshold can be set according to the actual situation.
  • the increase of the last collected optical signal exceeds a certain threshold compared with the signal with the lowest intensity.
  • This threshold can be 30%, and the specific value of the threshold can be set according to the actual situation;
  • the terminal device may determine that the user's finger is a living body when it is determined that the detected multiple optical signals of the preset feature area meet the above three conditions simultaneously, otherwise, it may determine that the finger is not a living body.
  • FIG. 13 shows the signal variation acquired by a non-living finger. Similar to the living fingerprint, the same judgment method as in the first embodiment can be used to judge that the finger covers the characteristic area. However, when the above-mentioned judgment model is used to further judge whether the finger is from a living body, the signals collected multiple times with a short exposure time do not satisfy the aforementioned three conditions. Accordingly, it can be determined that the fingerprint is a non-living fingerprint.
  • the fingerprint identification method provided in this embodiment not only can determine whether the user's finger covers the characteristic area to improve the unlocking efficiency through the methods provided by any of the foregoing embodiments, but also provides a method for determining whether the fingerprint is a living fingerprint, which can effectively improve the unlocking efficiency.
  • the security level of fingerprint recognition is only possible.
  • FIG. 14 is a schematic structural diagram of Embodiment 1 of the fingerprint identification device provided by the embodiment of the application.
  • the fingerprint identification device 10 includes an optical image acquisition module 11, and the optical image acquisition module 11 includes a pixel array.
  • the device also includes:
  • the optical image acquisition module 11 is configured to collect a plurality of optical signals of a preset feature area in the pixel array through multiple exposures when it is detected that the user's finger touches the fingerprint identification area of the terminal device;
  • a processing module 12 for determining whether the user's finger covers the preset feature region according to a plurality of light signals of the preset feature region;
  • the optical image acquisition module 11 is further configured to acquire a fingerprint image if the user's finger covers the preset feature area;
  • the processing module 12 is further configured to verify the identity of the user according to the fingerprint image.
  • the fingerprint identification device 10 may be implemented as a terminal device, or may be a module in the terminal device.
  • the processing module 12 can implement the touch control module and signal processing shown in FIG. 5 in the foregoing embodiment. The functions that the module needs to implement are summarized here.
  • the fingerprint identification device provided in this embodiment can implement the technical solutions in any of the foregoing method embodiments.
  • the implementation principle and technical effect are similar.
  • the characteristic area is set in the pixel array by means of software. Set the detection of the light signal in the characteristic area, confirm that the user's finger covers the preset characteristic area, and then perform fingerprint image verification after covering, remind the user when it is not covered, and avoid fingerprinting when the user's finger is not placed in a suitable position. Identify the problems that lead to fingerprint failure or direct rejection, and reduce the rejection rate of fingerprint identification.
  • FIG. 15 is a schematic structural diagram of Embodiment 2 of the fingerprint identification device provided by the embodiment of the application. As shown in FIG. 15 , on the basis of the foregoing embodiment, the fingerprint identification device 10 further includes:
  • the display module 13 the processing module 12 is further configured to push the prompt information through the display module 13 if the user's finger does not cover the preset feature area, and the prompt information is used to prompt the user to reposition the finger position , or to end the fingerprinting process.
  • the processing module 12 is also used for:
  • the preset feature area is determined from the preset at least one feature area according to the security level.
  • optical image acquisition module 11 is specifically used for:
  • the short exposure signal collection is performed for a preset number of times in the preset characteristic area with a first preset exposure time, so as to obtain a plurality of optical signals in the preset characteristic area.
  • the optical image acquisition module 11 is specifically configured to acquire the plurality of optical signals for the pixels in the preset feature area in a pixel stacking manner.
  • processing module 12 is specifically used for:
  • a coefficient of variation of the optical signal intensity in the preset feature area is obtained, where the coefficient of variation is used to represent the intensity of the optical signal in the preset feature area degree of change;
  • the coefficient of variation is greater than a preset coefficient of variation threshold, it is determined that the user's finger covers the preset feature area
  • processing module 12 is also used for:
  • the coefficient of variation threshold is determined according to the intensity of the ambient light signal.
  • the intensity of the ambient light signal is positively correlated or negatively correlated with the coefficient of variation threshold.
  • processing module 12 is specifically used for:
  • the threshold change value corresponding to the difference is increased or decreased on the standard coefficient of variation threshold to obtain the coefficient of variation threshold.
  • processing module 12 is specifically used for:
  • Whether the user's finger covers the preset feature area is determined according to the ratio of the decrease in the signal strength of the second optical signal compared to the first optical signal and a preset ratio.
  • the processing module 12 is specifically used for:
  • the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, and the appearance time of the first optical signal is later than the appearance time of the second optical signal, then determining that the user's finger covers the preset feature area;
  • the processing module 12 is specifically used for:
  • the ratio of the intensity reduction of the second optical signal compared to the first optical signal exceeds the preset ratio, and the appearance time of the first optical signal is earlier than the appearance time of the second optical signal, then determining that the user's finger covers the preset feature area;
  • processing module 12 is also used for:
  • the preset ratio is determined according to the intensity of the ambient light signal.
  • processing module 12 is specifically used for:
  • the ratio change value corresponding to the difference value is increased or decreased from the standard ratio to obtain the preset ratio.
  • processing module 12 is also used for:
  • the living body judgment conditions include:
  • None of the last three optical signals collected in the plurality of optical signals is a second optical signal, and the second optical signal is an optical signal with the lowest signal intensity among the plurality of optical signals;
  • coefficients of variation of all optical signals following the second optical signal in the plurality of optical signals are greater than a first preset threshold
  • the increase of the signal intensity of the last detected optical signal among the plurality of optical signals compared with the signal intensity of the second optical signal is greater than a second preset threshold.
  • acquiring the ambient light signal by the processing module 12 means that the processing module 12 acquires the ambient light signal collected by the sensor for collecting ambient light.
  • the processing module 12 Receive the ambient light signal sent by the ambient light sensor.
  • the fingerprint identification device provided by any of the above embodiments is used to implement the technical solutions in the foregoing method embodiments, and the implementation principles and technical effects thereof are similar, and are not repeated here.
  • FIG. 16 is a schematic structural diagram of a terminal device provided by an embodiment of the present application. As shown in FIG. 16 , the terminal device 20 provided by this embodiment includes:
  • processor 21 memory 22, display screen 23, touch control module 24, and fingerprint identification device 25;
  • the memory 22 is used to store computer programs
  • the fingerprint identification device 25 includes an optical image acquisition module, and the optical image acquisition module includes a pixel array;
  • the processor 21 executes the computer program stored in the memory 22, so that the terminal device executes the technical solutions provided in any of the foregoing method embodiments.
  • the above-mentioned components of the terminal device 10 may be connected through a bus.
  • a color filter is provided in the pixel array, and the wavelength band range through which the color filter passes includes a wavelength band used for fingerprint identification.
  • the memory 22 may be a separate storage unit, or may be a storage unit integrated in the processor 21 .
  • the number of processors 21 is one or more.
  • the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction, that is, the memory and the processor can be connected through an interface or integrated together.
  • these elements can be electrically connected to each other through one or more communication buses or signal lines, such as can be connected through a bus.
  • the memory stores computer-executed instructions for implementing the data access control method, including at least one software function module that can be stored in the memory in the form of software or firmware, and the processor executes various software programs and modules by running the software programs and modules stored in the memory. Functional application and data processing.
  • the memory can be, but is not limited to, random access memory (Random Access Memory, referred to as: RAM), read-only memory (Read Only Memory, referred to as: ROM), programmable read-only memory (Programmable Read-Only Memory, referred to as: PROM) ), Erasable Programmable Read-Only Memory (EPROM, referred to as: EPROM), Electrically Erasable Read-Only Memory (Electric Erasable Programmable Read-Only Memory, referred to as: EEPROM), etc.
  • RAM Random Access Memory
  • ROM Read Only Memory
  • PROM programmable read-only memory
  • EPROM Erasable Programmable Read-Only Memory
  • EPROM Electrically Erasable Read-Only Memory
  • EEPROM Electrically Erasable Read-Only Memory
  • the software programs and modules in the above-mentioned memory may also include an operating system, which may include various software components and/or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may Intercommunicate with various hardware or software components to provide the operating environment for other software components.
  • an operating system which may include various software components and/or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may Intercommunicate with various hardware or software components to provide the operating environment for other software components.
  • the processor may be an integrated circuit chip with signal processing capability.
  • the above-mentioned processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), an image processor, etc., and may implement or execute the methods, steps, and logical block diagrams disclosed in the embodiments of the present application.
  • CPU Central Processing Unit
  • image processor etc.
  • the present application further provides a storage medium, including: a readable storage medium and a computer program, where the computer program is stored in the readable storage medium, and the computer program is used to implement the technical solutions in any of the foregoing method embodiments .

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Abstract

La présente invention concerne un procédé et un appareil de reconnaissance d'empreinte digitale, ainsi qu'un dispositif de terminal (100). Le dispositif de terminal (100) dans la solution comprend un appareil de reconnaissance d'empreinte digitale (10), l'appareil de reconnaissance d'empreinte digitale (10) comprend un module de collecte d'image optique (11), et le module de collecte d'image optique (11) comprend un réseau de pixels. Le procédé de reconnaissance d'empreinte digitale consiste à : lorsqu'il est détecté qu'un doigt d'un utilisateur touche une zone de reconnaissance d'empreinte digitale (115) d'un dispositif de terminal (100), collecter de multiples signaux optiques d'une zone de caractéristique prédéfinie dans un réseau de pixels au moyen de multiples instances d'exposition (S101) ; selon les multiples signaux optiques de la zone de caractéristique prédéfinie, déterminer si le doigt de l'utilisateur couvre ou non la zone de caractéristique prédéfinie (S102) ; si le doigt de l'utilisateur couvre la zone de caractéristique prédéfinie, collecter et acquérir une image d'empreinte digitale (S103) ; et vérifier l'identité de l'utilisateur selon l'image d'empreinte digitale (S104). La détection de signaux optiques d'une zone de caractéristique prédéfinie est effectuée pour déterminer si un doigt d'un utilisateur couvre ou non la zone de caractéristique prédéfinie, et après que le doigt de l'utilisateur couvre la zone de caractéristique prédéfinie, une vérification d'image d'empreinte digitale est effectuée, de telle sorte que le problème de défaillance d'empreinte digitale ou de rejet direct provoqué par le fait qu'un doigt d'un utilisateur n'est pas placé à une bonne position est évité, et le taux de faux rejets de la reconnaissance d'empreinte digitale est ainsi réduit.
PCT/CN2020/108437 2020-08-11 2020-08-11 Procédé et appareil de reconnaissance d'empreinte digitale, et dispositif de terminal WO2022032479A1 (fr)

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CN107122760A (zh) * 2017-05-16 2017-09-01 广东欧珀移动通信有限公司 指纹识别方法及相关产品
US20190102598A1 (en) * 2017-09-30 2019-04-04 Shenzhen GOODIX Technology Co., Ltd. Method and apparatus of fingerprint identification and terminal device
CN109948588A (zh) * 2019-03-31 2019-06-28 联想(北京)有限公司 一种信息处理方法及电子设备
CN109993120A (zh) * 2019-03-31 2019-07-09 联想(北京)有限公司 一种信息处理方法及电子设备
CN110268418A (zh) * 2019-05-06 2019-09-20 深圳市汇顶科技股份有限公司 指纹检测的方法、装置和电子设备

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CN107122760A (zh) * 2017-05-16 2017-09-01 广东欧珀移动通信有限公司 指纹识别方法及相关产品
US20190102598A1 (en) * 2017-09-30 2019-04-04 Shenzhen GOODIX Technology Co., Ltd. Method and apparatus of fingerprint identification and terminal device
CN109948588A (zh) * 2019-03-31 2019-06-28 联想(北京)有限公司 一种信息处理方法及电子设备
CN109993120A (zh) * 2019-03-31 2019-07-09 联想(北京)有限公司 一种信息处理方法及电子设备
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