WO2022268023A1 - 指纹识别方法、装置、电子设备和可读存储介质 - Google Patents

指纹识别方法、装置、电子设备和可读存储介质 Download PDF

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Publication number
WO2022268023A1
WO2022268023A1 PCT/CN2022/099800 CN2022099800W WO2022268023A1 WO 2022268023 A1 WO2022268023 A1 WO 2022268023A1 CN 2022099800 W CN2022099800 W CN 2022099800W WO 2022268023 A1 WO2022268023 A1 WO 2022268023A1
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Prior art keywords
fingerprint
screen
stored
information
feature
Prior art date
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PCT/CN2022/099800
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English (en)
French (fr)
Inventor
张晗玉
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维沃移动通信有限公司
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Publication date
Application filed by 维沃移动通信有限公司 filed Critical 维沃移动通信有限公司
Priority to EP22827516.0A priority Critical patent/EP4361881A4/en
Publication of WO2022268023A1 publication Critical patent/WO2022268023A1/zh
Priority to US18/393,223 priority patent/US20240127624A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1347—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification

Definitions

  • the present application belongs to the technical field of electronic equipment, and in particular relates to a fingerprint identification method, device, electronic equipment and a readable storage medium.
  • multi-screen electronic devices are equipped with multiple screens (such as folding screens, double-sided screens, and three-sided screens) so that users can simultaneously perform multiple operations such as playing games, sending messages, and watching videos to meet the diverse needs of users.
  • screens are usually equipped with different fingerprint identification modules, such as optical fingerprint modules, semiconductor fingerprint modules, radio frequency fingerprint modules, and so on.
  • the purpose of the embodiments of the present application is to provide a fingerprint identification method, device, electronic device and readable storage medium, which can solve the problem of high redundancy of user operations in the fingerprint identification process of multi-screen electronic devices.
  • the embodiment of the present application provides a fingerprint identification method, which is applied to an electronic device including a first screen and a second screen, and the method includes:
  • the embodiment of the present application provides a fingerprint identification device, which is applied to an electronic device including a first screen and a second screen, and the device includes: an acquisition module, an extraction module, and a judgment module;
  • the acquisition module is configured to acquire the first fingerprint information through the first screen
  • the extraction module is configured to extract the first fingerprint feature from the first fingerprint information as the first pre-stored fingerprint template corresponding to the second screen based on the fingerprint identification method corresponding to the second screen;
  • the acquisition module is also used to acquire second fingerprint information through the second screen
  • the judging module is configured to extract a second fingerprint feature from the second fingerprint information, and judge whether the second fingerprint feature matches the first pre-stored fingerprint template extracted by the extraction module.
  • the embodiment of the present application provides an electronic device, the electronic device includes a processor, a memory, and a program or instruction stored in the memory and operable on the processor, the program or instruction is executed by the processor When executed, the steps of the method described in the first aspect are realized.
  • an embodiment of the present application provides a readable storage medium, where a program or an instruction is stored on the above-mentioned readable storage medium, and when the above-mentioned program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.
  • the embodiment of the present application provides a chip, the above-mentioned chip includes a processor and a communication interface, the above-mentioned communication interface is coupled to the above-mentioned processor, and the above-mentioned processor is used to run programs or instructions to implement the method as described in the first aspect .
  • the embodiment of the present application provides a computer program product, the program product is stored in a non-volatile storage medium, and the program product is executed by at least one processor to implement the method provided in the first aspect.
  • the user when the electronic device includes the first screen and the second screen, the user first obtains the first fingerprint information through the first screen, and then based on the fingerprint identification method corresponding to the second screen, from the first fingerprint information Extract the first fingerprint feature from the information as the first pre-stored fingerprint template corresponding to the second screen, then obtain the second fingerprint information through the second screen, and finally extract the second fingerprint feature from the second fingerprint information, and judge whether the second fingerprint feature is Matches the first fingerprint template.
  • the number of operations performed by the user in the fingerprint identification process of the multi-screen electronic device is reduced, and the redundancy of user operations is reduced.
  • FIG. 1 is one of the schematic diagrams of a fingerprint identification method provided by the embodiment of the present application.
  • Fig. 2 is the second schematic diagram of a fingerprint identification method provided by the embodiment of the present application.
  • Fig. 3 is the third schematic diagram of a fingerprint identification method provided by the embodiment of the present application.
  • Fig. 4 is the fourth schematic diagram of a fingerprint identification method provided by the embodiment of the present application.
  • Fig. 5 is the fifth schematic diagram of a fingerprint identification method provided by the embodiment of the present application.
  • Fig. 6 is one of the structural schematic diagrams of the fingerprint identification device provided by the embodiment of the present application.
  • FIG. 7 is one of the hardware schematic diagrams of the electronic device provided by the embodiment of the present application.
  • FIG. 8 is the second schematic diagram of hardware of the electronic device provided by the embodiment of the present application.
  • the corresponding pre-stored fingerprint feature information can only be generated by obtaining the fingerprint information through the screen.
  • the user when the electronic device includes the first screen and the second screen, the user first obtains the first fingerprint information through the first screen, and then based on the fingerprint identification method corresponding to the second screen, from the first fingerprint information Extract the first fingerprint feature from the information as the first pre-stored fingerprint template corresponding to the second screen, then obtain the second fingerprint information through the second screen, and finally extract the second fingerprint feature from the second fingerprint information, and judge whether the second fingerprint feature is Matches the first fingerprint template.
  • the number of operations performed by the user in the fingerprint identification process of the multi-screen electronic device is reduced, and the redundancy of user operations is reduced.
  • the technical solution provided by the embodiment of the present application is applied to an electronic device including a first screen and a second screen.
  • the electronic device includes N display screens, where N is a positive integer not less than 2.
  • N is a positive integer not less than 2.
  • the first screen refers to any screen in the N display screens
  • the second screen refers to any screen in the N display screens except the first screen.
  • the types of display screens may include at least one of the following: OLED screens, LCD screens, UFB screens, TFD screens, TFT screens, STN screens and AMOLED screens.
  • the embodiment of the present application provides a fingerprint identification method.
  • the method may include the following steps 101 to 104 .
  • Step 101 Obtain first fingerprint information through the above-mentioned first screen.
  • the first fingerprint information obtained by the user through the first screen is obtained through the fingerprint identification method corresponding to the first screen, wherein the fingerprint identification method can be at least one of the following: off-screen optical fingerprint recognition method, off-screen Ultrasonic fingerprint recognition method and capacitive fingerprint recognition method.
  • the number of fingers corresponding to the first fingerprint information may also be limited.
  • the fingerprint information of one finger may be acquired at a time, and the first fingerprint information may be acquired through multiple acquisitions.
  • the first fingerprint information acquired in a one-time manner may be used to acquire the fingerprint information of multiple fingers each time.
  • the first fingerprint information may also be acquired through an independent fingerprint acquisition module corresponding to the first screen.
  • the fingerprint identification mode corresponding to the fingerprint acquisition module can be at least one of the following: an optical fingerprint mode, a heat-sensitive fingerprint mode and a biological radio frequency fingerprint mode.
  • Step 102 Based on the fingerprint identification method corresponding to the second screen, extract the first fingerprint feature from the first fingerprint information as the first pre-stored fingerprint template corresponding to the second screen.
  • the first fingerprint information is obtained through the first screen, and then the first fingerprint feature is extracted from the first fingerprint information according to the fingerprint identification method corresponding to the second screen, and the first fingerprint feature is used as the first pre-stored Fingerprint template.
  • the key point is that the first pre-stored fingerprint template corresponding to the second screen can be determined through the first fingerprint information acquired on the first screen.
  • the first fingerprint information is obtained through the first screen, and then the first pre-stored fingerprint template corresponding to the second screen different from the first screen is determined, so that the electronic device does not have to pass through each fingerprint in the electronic device during the identification process.
  • Each screen obtains fingerprint information separately to determine the pre-stored fingerprint template corresponding to each screen.
  • the first pre-stored fingerprint template is the basis for judging whether the second fingerprint information acquired through the second screen passes the verification. That is, the other fingerprint information obtained through the second screen is matched with the first pre-stored fingerprint template. If it can be matched, the other fingerprint information will pass the fingerprint verification of the second screen. If it cannot be matched, the other fingerprint information will not pass the fingerprint of the second screen. Verification, you cannot perform operations such as screen unlocking, payment, and application login.
  • the first pre-stored fingerprint template may include fingerprint features of one or more fingers. If there are valid fingerprint information of multiple fingers in the first fingerprint information, the pre-stored fingerprint template corresponding to the first fingerprint information includes fingerprint features extracted from the valid fingerprint information of each finger.
  • preprocessing before extracting the first fingerprint feature, preprocessing may also be performed on the first fingerprint information.
  • the preprocessing methods used in the preprocessing process include at least one of the following: removing background information, normalizing, extracting effective images, Gabor filtering, direction enhancement, binarization, and dilation and erosion.
  • the first fingerprint feature includes at least one of the following: outline, texture pattern, core point, triangle point, style line, node type, node direction, Nodal curvature and nodal position.
  • the first fingerprint feature extracted according to the fingerprint identification method corresponding to the second screen can highlight the fingerprint features. It can improve the accuracy and speed of subsequent fingerprint recognition.
  • the fingerprint recognition method corresponding to the second screen is an under-screen optical fingerprint recognition method. Since the under-screen optical fingerprint recognition method mainly relies on optical reflection to detect fingerprint lines, it is sensitive to the luminance of the fingerprint collection area.
  • the first fingerprint information is divided into fingerprint information images containing fingerprint information, and then the fingerprint information image is fingerprint enhanced to reduce the impact of luminance on the first fingerprint feature, and then The fingerprint information image is binarized in order to compress the amount of data, and finally the binary image is refined to delete edge pixels and improve the fingerprint matching speed.
  • Extracting the first fingerprint feature means extracting the first fingerprint feature according to the thinned image. Extracting the first fingerprint feature specifically includes: extracting at least one of the following items according to the preset pixel block: core point, triangle point, node type, node direction, node curvature and node position.
  • Step 103 Obtain the second fingerprint information through the above-mentioned second screen.
  • the second fingerprint information is obtained through any screen (that is, the second screen) in the electronic device except the first screen.
  • the second fingerprint information can be used to unlock the second screen.
  • Step 104 Extracting a second fingerprint feature from the second fingerprint information, and judging whether the second fingerprint feature matches the first pre-stored fingerprint template.
  • the second fingerprint feature is extracted from the second fingerprint information according to the fingerprint identification method corresponding to the second screen.
  • the second fingerprint features include core points, triangle points, number of lines, and their corresponding directions, curvatures, and node positions.
  • the second fingerprint information acquired through the second screen matches the first pre-stored fingerprint module, that is, the pre-stored
  • the fingerprint information acquisition screen corresponding to the fingerprint template and the identification screen of the fingerprint information corresponding to the pre-stored fingerprint template are different screens.
  • the user first obtains the first fingerprint information through the first screen, and then based on the fingerprint identification method corresponding to the second screen , extract the first fingerprint feature from the first fingerprint information as the first pre-stored fingerprint template corresponding to the second screen, then obtain the second fingerprint information through the second screen, and finally extract the second fingerprint feature from the second fingerprint information, and judge Whether the second fingerprint feature matches the first fingerprint template.
  • the first fingerprint information and extracting the first pre-stored fingerprint template corresponding to the second screen the number of operations performed by the user in the fingerprint identification process of the multi-screen electronic device is reduced, and the redundancy of user operations is reduced.
  • step 102a and step 102b may also be included.
  • Step 102a If the fingerprint recognition method corresponding to the first screen is the same as the fingerprint recognition method corresponding to the second screen, determine the first pre-stored fingerprint template as the second pre-stored fingerprint template corresponding to the first screen.
  • Step 102b If the fingerprint recognition method corresponding to the first screen is different from the fingerprint recognition method corresponding to the second screen, based on the fingerprint recognition method corresponding to the first screen, extract the third fingerprint information from the first fingerprint information.
  • the fingerprint feature is used as the second pre-stored fingerprint template corresponding to the first screen.
  • the first fingerprint information can be used as the basis for extracting the first pre-stored fingerprint template corresponding to the second screen.
  • the first fingerprint information can also be used as the basis for extracting the second pre-stored fingerprint module corresponding to the first screen. .
  • the first screen and the second screen can share the "first pre-stored fingerprint template", and the first pre-stored fingerprint template is determined as the first screen corresponding to the second pre-stored fingerprint template.
  • the third fingerprint feature is extracted from the first fingerprint information according to the fingerprint recognition method corresponding to the first screen as the second fingerprint corresponding to the first screen.
  • Two pre-stored fingerprint templates are pre-stored fingerprint templates. It should be noted that although both the third fingerprint feature and the first fingerprint feature are extracted based on the first fingerprint information, since the fingerprint identification method corresponding to the first screen is different from the fingerprint identification method corresponding to the second screen, the third fingerprint The feature is different from the first fingerprint feature, that is, the third fingerprint feature is extracted according to the fingerprint identification method corresponding to the first screen.
  • the fingerprint information obtained through the first screen can be identified according to the second pre-stored fingerprint template.
  • the above steps can save the calculation time for determining the second pre-stored fingerprint template and extracting the first fingerprint feature, and save the consumption of system resources, and , which can improve the computational efficiency.
  • the fingerprint identification method provided in the embodiment of the present application may further include step 201 and step 202 .
  • Step 201 Calculate the fingerprint coverage rate of the above-mentioned first fingerprint information.
  • Step 202 If the aforementioned fingerprint coverage rate is less than the preset coverage rate, display a prompt message.
  • the fingerprint coverage refers to the proportion of the first fingerprint information in all fingerprints of a single finger.
  • the prompt information is used to remind the user that the fingerprint information needs to be entered again.
  • the current interface can be frozen, and the user can be provided with function keys for selecting the next operation.
  • the above function keys can include at least one of the following: give up storing the pre-stored fingerprint template, continue to obtain the first
  • the fingerprint information is stored continuously so that the user can independently choose whether to obtain the first fingerprint feature according to the current first fingerprint information.
  • the triggering method of the above-mentioned function keys may include at least one of the following screen operations such as click, double-click, long-press, and specific gestures, mechanical key operations, and camera capture of specific images.
  • the third fingerprint information obtained through the first screen may be reacquired to replace the original first fingerprint information.
  • steps 301 to 302 may also be included.
  • Step 301 Obtain the third fingerprint information through the above-mentioned first screen.
  • Step 302 Update the first fingerprint information according to the third fingerprint information.
  • the third fingerprint information and the first fingerprint information are fingerprints of the same finger of the user.
  • updating the above-mentioned first fingerprint information according to the above-mentioned third fingerprint information may be to replace the fingerprint data in the first fingerprint information with the fingerprint data in the first fingerprint information and the fingerprint data in the third fingerprint information.
  • the fingerprint data after fingerprint data merging is about to superimpose the fingerprint information of the same finger obtained multiple times on the first screen.
  • updating the first fingerprint information can prevent the user from repeatedly acquiring fingerprint information because the fingerprint information obtained in a single time is not easy to meet the coverage requirement, and then make the pre-stored fingerprint template include enough fingerprint features to improve the follow-up.
  • the fingerprint identification method provided in the embodiment of the present application may further include step 401 and step 402 .
  • Step 401 Extract distinguishing fingerprint features when the second fingerprint feature matches the first pre-stored fingerprint template.
  • Step 402 Add the above distinguishing fingerprint features to the above first pre-stored fingerprint template.
  • the distinguishing fingerprint feature is a different fingerprint feature between the second fingerprint feature and the first pre-stored fingerprint template.
  • the second fingerprint information and the first fingerprint information can also be used as the template for extracting the first pre-stored fingerprint basis.
  • the basis for extracting the first pre-stored fingerprint template tends to include all fingerprint features, and fingerprint identification through the second screen is more accurate. The degree is also getting higher and higher.
  • the second fingerprint feature is extracted from the second fingerprint information (obtained through the second screen), compared with extracting the first fingerprint feature from the first fingerprint information, the fingerprint corresponding to the second screen is given. Therefore, the second fingerprint feature and the first pre-stored fingerprint template can be directly used as the basis for updating the first pre-stored fingerprint template.
  • an update learning mechanism for the first pre-stored fingerprint template is set to continuously improve the first pre-stored fingerprint template and improve the accuracy of fingerprint identification through the second screen.
  • the update and learning mechanism of the first pre-stored fingerprint template can also be used, and the fingerprint information acquired through the first screen and successfully recognized Corresponding to the fingerprint features and the second pre-stored fingerprint template, an update learning mechanism for the second pre-stored fingerprint template is set to improve the second pre-stored fingerprint template.
  • the fingerprint identification method provided in the embodiment of the present application may further include step 501 and step 502 .
  • Step 501 Obtain the first background image of the first screen and the second background image of the second screen.
  • Step 502 Merging the above-mentioned first background image and the above-mentioned second background image to generate a common background image.
  • the fingerprint information obtained through the first screen or the second screen includes background information in addition to the collected fingerprint image.
  • the background information refers to invalid signals that appear due to the influence of the screen or the fingerprint recognition sensor.
  • the common background image may be obtained by averaging the pixel values of the first background image and the second background image.
  • the fingerprint identification method provided in the embodiment of the present application further includes step 503.
  • Step 503 Perform denoising processing on the first fingerprint information according to the shared background image, and update the first fingerprint information.
  • the fingerprint identification method provided in the embodiment of the present application further includes step 504.
  • Step 504 Perform denoising processing on the second fingerprint information according to the shared background image, and update the second fingerprint information.
  • the denoising update can be performed through the common background image.
  • denoising the first fingerprint information or the second fingerprint information by sharing the background image on the one hand, can reduce the interference information in the process of fingerprint recognition, and on the other hand, replace the first background image and the second background image with the common background image
  • the required data storage space can be reduced to reduce the waste of system resources.
  • a fingerprint identification device provided by the embodiment of the present application is applied to an electronic device including a first screen and a second screen, and the device includes: an acquisition module 61, an extraction module 62 and a judgment module 63;
  • the acquisition module 61 is configured to acquire the first fingerprint information through the first screen
  • the extraction module 62 is configured to extract the first fingerprint feature from the first fingerprint information as the first pre-stored fingerprint template corresponding to the second screen based on the fingerprint identification method corresponding to the second screen;
  • the acquisition module 61 is further configured to acquire second fingerprint information through the second screen;
  • the judging module 63 is configured to extract a second fingerprint feature from the second fingerprint information, and judge whether the second fingerprint feature matches the first pre-stored fingerprint template.
  • the above device further includes a determination module
  • the determining module is configured to determine the first pre-stored fingerprint template as the second pre-stored fingerprint template corresponding to the first screen when the fingerprint identification method corresponding to the first screen is the same as the fingerprint identification method corresponding to the second screen. fingerprint template;
  • the extraction module 62 is also used to extract from the first fingerprint based on the fingerprint identification method corresponding to the first screen when the fingerprint identification method corresponding to the first screen is different from the fingerprint identification method corresponding to the second screen.
  • the third fingerprint feature is extracted from the information as the second pre-stored fingerprint template corresponding to the first screen.
  • the above device further includes: a generating module and an updating module;
  • the acquisition module 61 is further configured to acquire the first background image of the first screen and the second background image of the second screen;
  • the above-mentioned generation module is used to fuse the above-mentioned first background image and the above-mentioned second background image to generate a common background image;
  • the update module is configured to perform denoising processing on the first fingerprint information according to the shared background image, and update the first fingerprint information.
  • the above device also includes an additional module
  • the extraction module 62 is also used to extract a distinguishing fingerprint feature when the second fingerprint feature matches the first pre-stored fingerprint template.
  • the distinguishing fingerprint feature is the difference between the second fingerprint feature and the first pre-stored fingerprint template.
  • the above-mentioned adding module is used to add the above-mentioned distinguishing fingerprint features to the above-mentioned first pre-stored fingerprint template.
  • the fingerprint recognition method includes at least one of the following: an optical fingerprint recognition method under the screen, an ultrasonic fingerprint recognition method under the screen, and a capacitive fingerprint recognition method.
  • the user first obtains the first fingerprint information through the first screen, and then based on the fingerprint identification method corresponding to the second screen , extract the first fingerprint feature from the first fingerprint information as the first pre-stored fingerprint template corresponding to the second screen, then obtain the second fingerprint information through the second screen, and finally extract the second fingerprint feature from the second fingerprint information, and judge Whether the second fingerprint feature matches the first fingerprint template.
  • the first fingerprint information and extracting the first pre-stored fingerprint template corresponding to the second screen the number of operations performed by the user in the fingerprint identification process of the multi-screen electronic device is reduced, and the redundancy of user operations is reduced.
  • the fingerprint recognition device in the embodiment of the present application may be a device, or a component, an integrated circuit, or a chip in a terminal.
  • the device may be a mobile electronic device or a non-mobile electronic device.
  • the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle electronic device, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant).
  • non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (television, TV), teller machine or self-service machine, etc., this application Examples are not specifically limited.
  • Network Attached Storage NAS
  • personal computer personal computer, PC
  • television television
  • teller machine or self-service machine etc.
  • the fingerprint recognition device in the embodiment of the present application may be a device with an operating system.
  • the operating system may be an Android (Android) operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in this embodiment of the present application.
  • the fingerprint recognition device provided in the embodiment of the present application can realize various processes realized by the method embodiments in FIG. 1 to FIG. 5 , and details are not repeated here to avoid repetition.
  • the embodiment of the present application further provides an electronic device 700, including a processor 701, a memory 702, and programs or instructions stored in the memory 702 and operable on the processor 701,
  • an electronic device 700 including a processor 701, a memory 702, and programs or instructions stored in the memory 702 and operable on the processor 701,
  • the program or instruction is executed by the processor 701
  • each process of the above-mentioned fingerprint identification method embodiment can be realized, and the same technical effect can be achieved. In order to avoid repetition, details are not repeated here.
  • the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.
  • FIG. 8 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
  • the electronic device 800 includes but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809, and a processing unit 810, etc. .
  • the electronic device 800 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 810 through the power management system, so that the management of charging, discharging, and function can be realized through the power management system. Consumption management and other functions.
  • a power supply such as a battery
  • the structure of the electronic device shown in FIG. 8 does not constitute a limitation to the electronic device.
  • the electronic device may include more or fewer components than shown in the figure, or combine some components, or arrange different components, and details will not be repeated here. .
  • the processor 810 is configured to obtain the first fingerprint information through the above-mentioned first screen; based on the fingerprint identification method corresponding to the above-mentioned second screen, extract the first fingerprint feature from the above-mentioned first fingerprint information as the fingerprint corresponding to the above-mentioned second screen.
  • the first pre-stored fingerprint template obtaining the second fingerprint information through the second screen; extracting the second fingerprint feature from the second fingerprint information, and judging whether the second fingerprint feature matches the first pre-stored fingerprint template.
  • the processor 810 is also used for the above-mentioned fingerprint identification method based on the above-mentioned second screen correspondence, after extracting the first fingerprint feature from the above-mentioned first fingerprint information as the first pre-stored fingerprint template, corresponding to the above-mentioned first screen. If the fingerprint recognition method is the same as the fingerprint recognition method corresponding to the second screen, the first pre-stored fingerprint template is determined as the second pre-stored fingerprint template corresponding to the first screen; method, if it is different from the fingerprint recognition method corresponding to the second screen, based on the fingerprint recognition method corresponding to the first screen, extract the third fingerprint feature from the first fingerprint information as the second pre-stored fingerprint corresponding to the first screen Fingerprint template.
  • the processor 810 is further configured to acquire the first background image of the first screen and the second background image of the second screen before acquiring the first fingerprint information through the first screen;
  • the background image is fused with the above-mentioned second background image to generate a common background image;
  • the processor 810 is further configured to perform denoising processing on the first fingerprint information according to the common background image after the first fingerprint information is acquired through the first screen, and update the first fingerprint information.
  • the processor 810 is further configured to extract the second fingerprint feature from the second fingerprint information, and determine whether the second fingerprint feature matches the first pre-stored fingerprint template.
  • extract the distinguishing fingerprint feature the above-mentioned distinguishing fingerprint feature is a different biological feature between the above-mentioned second fingerprint feature and the above-mentioned first pre-stored fingerprint template; add the above-mentioned distinguishing fingerprint feature to the above-mentioned first A pre-stored fingerprint template.
  • the fingerprint recognition method includes at least one of the following: an optical fingerprint recognition method under the screen, an ultrasonic fingerprint recognition method under the screen, and a capacitive fingerprint recognition method.
  • the user first obtains the first fingerprint information through the first screen, and then based on the fingerprint identification method corresponding to the second screen, Extract the first fingerprint feature from the first fingerprint information as the first pre-stored fingerprint template corresponding to the second screen, then obtain the second fingerprint information through the second screen, and finally extract the second fingerprint feature from the second fingerprint information, and judge the first Whether the second fingerprint feature matches the first fingerprint template.
  • the first fingerprint information and extracting the first pre-stored fingerprint template corresponding to the second screen the number of operations performed by the user in the fingerprint identification process of the multi-screen electronic device is reduced, and the redundancy of user operations is reduced.
  • the input unit 804 may include a graphics processor (Graphics Processing Unit, GPU) 8041 and a microphone 8042, and the graphics processor 8041 is used for the image capture device (such as the image data of the still picture or video obtained by the camera) for processing.
  • the display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the user input unit 807 includes a touch panel 8071 and other input devices 8072 .
  • the touch panel 8071 is also called a touch screen.
  • the touch panel 8071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 8072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • Memory 809 may be used to store software programs as well as various data, including but not limited to application programs and operating systems.
  • the processor 810 may integrate an application processor and a modem processor, wherein the application processor mainly processes operating systems, user interfaces, and application programs, and the modem processor mainly processes wireless communications. It can be understood that the foregoing modem processor may not be integrated into the processor 810 .
  • the embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, each process of the above-mentioned embodiment of the fingerprint identification method can be realized, and can achieve the same To avoid repetition, the technical effects will not be repeated here.
  • the processor is the processor in the electronic device described in the above embodiments.
  • the readable storage medium includes computer readable storage medium, such as computer read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
  • the embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the above-mentioned fingerprint identification method embodiment
  • the chip includes a processor and a communication interface
  • the communication interface is coupled to the processor
  • the processor is used to run programs or instructions to implement the above-mentioned fingerprint identification method embodiment
  • chips mentioned in the embodiments of the present application may also be called system-on-chip, system-on-chip, system-on-a-chip, or system-on-a-chip.
  • the term “comprising”, “comprising” or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase “comprising a " does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.
  • the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

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Abstract

本申请公开了一种指纹识别方法、装置、电子设备和可读存储介质，属于电子设备技术领域。该方法应用于包含第一屏和第二屏的电子设备，主要包括：通过上述第一屏获取第一指纹信息；基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为上述第二屏对应的第一预存指纹模板；通过上述第二屏获取第二指纹信息；从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述第一预存指纹模板匹配。

Description

指纹识别方法、装置、电子设备和可读存储介质
相关申请的交叉引用
本申请主张在2021年6月22日在中国提交的中国专利申请号202110692667.2的优先权，其全部内容通过引用包含于此。
技术领域
本申请属于电子设备技术领域，具体涉及一种指纹识别方法、装置、电子设备和可读存储介质。
背景技术
一般的，通过多屏电子设备上搭载多个屏幕(如折叠屏、双面屏、三面屏)使得用户能够同时进行打游戏、发消息、看视频等多个操作，以满足用户的多样化需求。对于多屏电子设备，不同屏通常搭载不同的指纹识别模块，如光学指纹模块、半导体指纹模块、射频指纹模块等等。
针对多屏电子设备，需要通过所有屏幕都获取指纹信息，才能分别提取并生成与各个屏幕对应的预存指纹特征信息。也就是，针对多屏电子设备需要重复通过不同屏获取指纹信息才能实现指纹识别，导致用户操作的冗余度高。
发明内容
本申请实施例的目的是提供一种指纹识别方法、装置、电子设备和可读存储介质，能够解决在多屏电子设备的指纹识别过程中用户操作的冗余度高的问题。
第一方面，本申请实施例提供了一种指纹识别方法，应用于包含第一屏和第二屏的电子设备，该方法包括：
通过上述第一屏获取第一指纹信息；
基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为上述第二屏对应的第一预存指纹模板；
通过上述第二屏获取第二指纹信息；
从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述第一预存指纹模板匹配。
第二方面，本申请实施例提供了一种指纹识别装置，应用于包含第一屏和第二屏的电子设备，该装置包括：获取模块、提取模块和判断模块；
上述获取模块，用于通过上述第一屏获取第一指纹信息；
上述提取模块，用于基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为上述第二屏对应的第一预存指纹模板；
上述获取模块，还用于通过上述第二屏获取第二指纹信息；
上述判断模块，用于从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述提取模块提取的第一预存指纹模板匹配。
第三方面，本申请实施例提供了一种电子设备，该电子设备包括处理器、存储器及存储在上述存储器上并可在上述处理器上运行的程序或指令，上述程序或指令被上述处理器执行时实现如第一方面所述的方法的步骤。
第四方面，本申请实施例提供了一种可读存储介质，上述可读存储介质上存储程序或指令，上述程序或指令被处理器执行时实现如第一方面所述的方法的步骤。
第五方面，本申请实施例提供了一种芯片，上述芯片包括处理器和通信接口，上述通信接口和上述处理器耦合，上述处理器用于运行程序或指令，实现如第一方面所述的方法。
第六方面，本申请实施例提供了一种计算机程序产品，该程序产品被存储在非易失的存储介质中，该程序产品被至少一个处理器执行以实现如第一方面提供的方法。
在本申请实施例中，在电子设备包含第一屏和第二屏的情况下，首先获取用户通过第一屏获取第一指纹信息，然后基于第二屏对应的指纹识别方式，从第一指纹信息中提取第一指纹特征作为第二屏对应的第一预存指纹模板，再通过第二屏获取第二指 纹信息，最后从第二指纹信息中提取第二指纹特征，并判断第二指纹特征是否与第一指纹模板匹配。如此，通过获取第一指纹信息提取第二屏对应的第一预存指纹模板，减少用户在多屏电子设备的指纹识别过程中的操作次数，减低降低用户操作的冗余度。
附图说明
图1是本申请实施例提供的一种指纹识别方法示意图之一；
图2是本申请实施例提供的一种指纹识别方法示意图之二；
图3是本申请实施例提供的一种指纹识别方法示意图之三；
图4是本申请实施例提供的一种指纹识别方法示意图之四；
图5是本申请实施例提供的一种指纹识别方法示意图之五；
图6是本申请实施例提供的指纹识别装置的结构示意图之一；
图7是本申请实施例提供的电子设备的硬件示意图之一；
图8是本申请实施例提供的电子设备的硬件示意图之二。
具体实施方式
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中的术语“第一”、“第二”等是用于区别类似的对象，而不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，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”等所区分的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”，一般表示前后关联对象是一种“或”的关系。
下面结合附图，通过具体的实施例对本申请实施例提供的指纹识别方法进行详细地说明。
由于多屏电子设备的各个屏幕对应的指纹识别模块是独立运行的，因此，针对同一块屏幕而言，只有通过该屏幕获取指纹信息才能生成对应的预存指纹特征信息。针对多屏电子设备，需要通过所有屏幕都获取指纹信息，才能分别提取并生成与屏幕对应的预存指纹特征信息。
在本申请实施例中，在电子设备包含第一屏和第二屏的情况下，首先获取用户通过第一屏获取第一指纹信息，然后基于第二屏对应的指纹识别方式，从第一指纹信息中提取第一指纹特征作为第二屏对应的第一预存指纹模板，再通过第二屏获取第二指纹信息，最后从第二指纹信息中提取第二指纹特征，并判断第二指纹特征是否与第一指纹模板匹配。如此，通过获取第一指纹信息提取第二屏对应的第一预存指纹模板，减少用户在多屏电子设备的指纹识别过程中的操作次数，减低降低用户操作的冗余度。
本申请实施例提供的技术方案应用于包含第一屏和第二屏的电子设备。
在本申请实施例中，电子设备包含N个显示屏，N为不小于2的正整数。其中，第一屏是指N个显示屏中的任一屏，第二屏是指N个显示屏中除第一屏之外的任一屏。需要说明的是，显示屏的种类可以包括以下至少一项：OLED屏、LCD屏、UFB屏、TFD屏、TFT屏、STN屏和AMOLED屏。
如图1所示，本申请实施例提供一种指纹识别方法。该方法可以包括下述的步骤101至步骤104。
步骤101：通过上述第一屏获取第一指纹信息。
在本申请实施例中，通过第一屏对应的指纹识别方式获取用户通过第一屏获取的第一指纹信息，其中，指纹识别方式可以为以下至少一项：屏下光学指纹识别方式、屏下超声指纹识别方式和电容式指纹识别方式。
可以理解的是，如果第一指纹信息包括多个手指的有效指纹信息，那么获取第一指纹信息之前，还可以限定第一指纹信息对应的手指的数量。
在一种示例中，在获取第一指纹信息的过程中，对于多个手指的情况，可以每次获取一个手指的指纹信息，通过多次获取的方式获取的第一指纹信息。
在另一种示例中，在获取第一指纹信息的过程中，对于多个手指的情况，可以采用每次获取多个手指的指纹信息，通过一次性获取的方式获取的第一指纹信息。
可选地，在本申请实施例中，还可以通过第一屏对应的独立的指纹采集模块获取第一指纹信息。其中，指纹采集模块对应的指纹识别模式可以为以下至少一项：光学式指纹模式、热敏式指纹模式和生物射频式指纹模式。
步骤102：基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为上述第二屏对应的第一预存指纹模板。
在本申请实施例中，通过第一屏获取第一指纹信息，然后根据第二屏对应的指纹识别方式从第一指纹信息中提取出第一指纹特征，并将第一指纹特征作为第一预存指纹模板。其重点在于，通过在第一屏获取的第一指纹信息可以确定第二屏对应的第一预存指纹模板。
可以理解的是，通过第一屏获取第一指纹信息，然后确定与第一屏不同的第二屏对应的第一预存指纹模板，使得电子设备实现识别的过程中，不必通过在电子设备的每个屏幕分别获取指纹信息，以确定每个屏幕对应的预存指纹模板。
在本申请实施例中，第一预存指纹模板是判断再次通过第二屏获取的第二指纹信息是否通过验证的依据。即，通过第二屏获取的其他指纹信息与第一预存指纹模板进行匹配，如果能够匹配则其他指纹信息通过第二屏的指纹验证，如果不能够匹配则其他指纹信息未通过第二屏的指纹验证，不能进行屏幕解锁、支付、登录应用程序等操作。
可选地，在本申请实施例中，第一预存指纹模板中可以包括一个或多个手指的指纹特征。如果第一指纹信息中多个手指的有效的指纹信息，则与第一指纹信息相对应的预存指纹模板包括从每个手指的有效指纹信息中提取的指纹特征。
可选地，在本申请实施例中，在提取第一指纹特征之前，还可以对第一指纹信息进行预处理。其中，预处理过程中采用的预处理方式包括以下至少一项：剔除背景信息、归一化、提取有效图像、Gabor滤波、方向增强、二值化和膨胀腐蚀。
在本申请实施例中，根据第二屏对应的指纹识别方式，可知，第一指纹特征包括以下至少一项：外轮廓、纹路图案、核心点、三角点、样式线、节点类型、节点方向、节点曲率和节点位置。
可以理解的是，由于不同的指纹识别方式能够识别的指纹特征的准确度和难易程度不同，因此，依据第二屏对应的指纹识别方式提取到的第一指纹特征，更能突出指纹特征， 能提高后续指纹识别的准确度和速度。
示例性的，假设第二屏对应的指纹识别方式为屏下光学指纹识别方式，由于屏下光学指纹识别方式主要是靠光学反射来探测指纹纹路，因此对指纹采集区的发光亮度敏感。在提取第一指纹特征之前，对第一指纹信息进行分割，划分为出包含指纹信息的指纹信息图像，然后对指纹信息图像进行指纹增强，以减少发光亮度对第一指纹特征的影响，再将指纹信息图像进行二值化，以便于压缩数据量，最后细化二值图像，删除边缘像素，提高指纹匹配速度。提取第一指纹特征，即根据细化图像提取第一指纹特征。提取第一指纹特征具体包括：根据预置像素块，提取以下至少一项：核心点、三角点、节点类型、节点方向、节点曲率和节点位置。
步骤103：通过上述第二屏获取第二指纹信息。
在本申请实施例中，通过电子设备中除第一屏之外的任一屏(即第二屏)获取第二指纹信息。其中，第二指纹信息可以用于解锁第二屏。
步骤104：从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述第一预存指纹模板匹配。
在本申请实施例中，根据第二屏对应的指纹识别方式从第二指纹信息中提取第二指纹特征。
在本申请实施例中，第二指纹特征包括核心点、三角点、纹数以及其分别对应的方向、曲率和节点位置。
在本申请实施例中，根据通过第一屏获取的第一指纹信息，提取的第一预存指纹模板，判断通过第二屏获取的第二指纹信息与第一预存指纹模块是否匹配，即，预存指纹模板对应的指纹信息的获取屏，与预存指纹模板对应的指纹信息的识别屏，为不同屏。
在本申请实施例提供的指纹识别方法中，在电子设备包含第一屏和第二屏的情况下，首先获取用户通过第一屏获取第一指纹信息，然后基于第二屏对应的指纹识别方式，从第一指纹信息中提取第一指纹特征作为第二屏对应的第一预存指纹模板，再通过第二屏获取第二指纹信息，最后从第二指纹信息中提取第二指纹特征，并判断第二指纹特征是否与第一指纹模板匹配。如此，通过获取第一指纹信息提取第二屏对应的第一预存指纹模板，减少用户在多屏电子设备的指纹识别过程中的操作次数，减低降低用户操作的冗余度。
可选地，在本申请实施例中，步骤102之后，还可以包括步骤102a和步骤102b。
步骤102a：在上述第一屏对应的指纹识别方式，与上述第二屏对应的指纹识别方式相同的情况下，将上述第一预存指纹模板确定为上述第一屏对应的第二预存指纹模板。
步骤102b：在上述第一屏对应的指纹识别方式，与上述第二屏对应的指纹识别方式不同的情况下，基于上述第一屏对应的指纹识别方式，从上述第一指纹信息中提取第三指纹特征作为第一屏对应的第二预存指纹模板。
在本申请实施例中，第一指纹信息可以作为提取第二屏对应的第一预存指纹模板的依据，同样的，第一指纹信息还可以作为提取第一屏对应的第二预存指纹模块的依据。
在本申请实施例中，如果第一屏与第二屏对应的指纹识别方式相同，那么第一屏和第二屏可以共用“第一预存指纹模板”，将第一预存指纹模板确定为第一屏对应的第二预存指纹模板。
在本申请实施例中，如果第一屏与第二屏对应的指纹识别方式不同，那么根据第一屏对应的指纹识别方式从第一指纹信息中提取第三指纹特征作为第一屏对应的第二预存指纹模板。需要说明的是，虽然第三指纹特征和第一指纹特征都是根据第一指纹信息提取的，由于第一屏对应的指纹识别方式，与第二屏对应的指纹识别方式不同，导致第三指纹特征与第一指纹特征不同，即，第三指纹特征是根据第一屏对应的指纹识别方式提取的。
在本申请实施例中，提取或确定第一屏对应的第二预存指纹模板之后，可以根据该第二预存指纹模板识别通过第一屏获取的指纹信息。
如此，如果第一屏和第二屏对应的指纹识别方式相同，那么通过上述步骤能够节省用于确定第二预存指纹模板的提取第一指纹特征的计算时间，以及，节省系统资源的消耗，并且，能够提高计算效率。
可选地，如图2所示，在本申请实施例中，步骤101获取第一指纹信息之后，本申请实施例提供的指纹识别方法还可以包括步骤201和步骤202。
步骤201：计算上述第一指纹信息的指纹覆盖率。
步骤202：如果上述指纹覆盖率小于预置覆盖率，则显示提示信息。
在本申请实施例中，指纹覆盖率是指第一指纹信息在单个手指的全部指纹中所占的比例。
进一步可选地，在本申请实施例中，提示信息用于提示用户需要再次录入指纹信息。需要说明的是，在显示提示信息后，可以冻结当前界面，可以为用户提供用于选择下一步操作的功能键，上述功能键可以包括以下至少一项：放弃存储预存指纹模板、继续获取第一指纹信息和继续存储，使得用户自主选取是否按照当前的第一指纹信息获取第一指纹特征。
示例性的，上述功能键的触发方式可以包括以下至少一项点击、双击、长按、特定手势等屏幕操作，机械按键操作和摄像头捕捉到特定画面。
可选地，在本申请实施例中，在步骤202显示提示信息之后，为了获取完整的指纹信息，可以重新获取通过第一屏获取的第三指纹信息，以替换原第一指纹信息。
可选地，在本申请实施例中，如图3所示，在步骤202显示提示信息之后，为了获取完整的指纹信息，还可以包括步骤301至步骤302。
步骤301：通过上述第一屏获取第三指纹信息。
步骤302：根据上述第三指纹信息更新上述第一指纹信息。
在本申请实施例中，第三指纹信息与第一指纹信息，是用户的同一手指的指纹。
在本申请实施例中，根据上述第三指纹信息更新上述第一指纹信息，可以为，将第一指纹信息中的指纹数据，替换为第一指纹信息中的指纹数据与第三指纹信息中的指纹数据合并后的指纹数据，即将通过第一屏多次获取的同一手指的指纹信息进行叠加。
在本申请实施例中，更新第一指纹信息之后，再经过步骤201和步骤202判断是否显示提示信息。
如此，更新第一指纹信息，能够避免用户因单次获取的指纹信息不容易符合覆盖率要求而不断重复获取指纹信息，进而使得预存指纹模板中包括足够多的指纹特征越多，以提高后续在指纹验证过程中续指纹识别的速度和效率。
可选地，如图4所示，在本申请实施例中，步骤104之后，本申请实施例提供的指纹识别方法还可以包括步骤401和步骤402。
步骤401：在上述第二指纹特征与上述第一预存指纹模板匹配的情况下，提取区别指纹特征。
步骤402：将上述区别指纹特征添加至上述第一预存指纹模板。
在本申请实施例中，上述区别指纹特征为上述第二指纹特征与上述第一预存指纹模板之间的不同指纹特征。
在本申请实施例中，由于通过第一屏获取的第一指纹信息，可能不能包含全部的指纹特征，因此，还可以将第二指纹信息与第一指纹信息，都作为提取第一预存指纹模板的依据。随着通过第二屏获取且识别成功的第二指纹信息越来越多，那么提取第一预存指纹模板的依据也越来与趋向于包括全部的指纹特征，通过第二屏进行指纹识别地准确度也越来越高。
在本申请实施例中，由于从第二指纹信息(通过第二屏获取的)提取第二指纹特征，与从第一指纹信息提取第一指纹特征相比，都给基于第二屏对应的指纹识别方式提取的，因此，可直接将第二指纹特征和第一预存指纹模板作为更新第一预存指纹模板的基础。
如此，根据通过第二屏获取且识别成功的第二指纹信息，设置第一预存指纹模板的更新学习机制，不断地完善第一预存指纹模板，提高通过第二屏进行指纹识别地准确度。
可选地，与上述第一预存指纹模板类似，对于第一屏对应的第二预存指纹模板，也可以采用第一预存指纹模板的更新学习机制，根据通过第一屏获取且识别成功的指纹信息对应的指纹特征和第二预存指纹模板，设置第二预存指纹模板的更新学习机制，完善第二预存指纹模板。
可选地，如图5所示，在本申请实施例中，在通过第一指纹信息之前，本申请实施例提供的指纹识别方法还可以包括步骤501和步骤502。
步骤501：获取上述第一屏的第一背景图像，以及上述第二屏的第二背景图像。
步骤502：将上述第一背景图像和上述第二背景图像融合，生成共用背景图像。
在本申请实施例中，通过第一屏或者第二屏获取的指纹信息，除了包括采集到的指纹图像，还包括背景信息。其中，背景信息是指因为屏幕或指纹识别感应器影响而出现的无效信号。
在本申请实施例中，可以通过将上述第一背景图像和上述第二背景图像的像素值取平均得到的共用背景图像。
进一步可选地，在本申请实施例中，上述步骤101之后，本申请实施例提供的指纹识别方法还包括步骤503。
步骤503：根据上述共用背景图像，对第一指纹信息进行去噪处理，更新上述第一指纹信息。
进一步可选地，在本申请实施例中，上述步骤103之后，本申请实施例提供的指纹识别方法还包括步骤504。
步骤504：根据上述共用背景图像，对第二指纹信息进行去噪处理，更新上述第二指纹信息。
需要说明的是，在生成共用背景图像之后，每次通过第一屏或第二屏获取指纹信息，都可以通过共用背景图像进行去噪更新。
如此，通过共用背景图像对第一指纹信息或第二指纹信息进行去噪处理，一方面能够减少指纹识别过程中的干扰信息，另一方面以共用背景图像代替第一背景图像和第二背景图像能够减少所需的数据存储空间，以减少系统资源的浪费。
如图6所示，本申请实施例提供的一种指纹识别装置，应用于包含第一屏和第二屏的电子设备，该装置包括：获取模块61、提取模块62和判断模块63；
上述获取模块61，用于通过上述第一屏获取第一指纹信息；
上述提取模块62，用于基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为上述第二屏对应的第一预存指纹模板；
上述获取模块61，还用于通过上述第二屏获取第二指纹信息；
上述判断模块63，用于从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述第一预存指纹模板匹配。
可选地，上述装置还包括确定模块；
上述确定模块，用于在上述第一屏对应的指纹识别方式，与上述第二屏对应的指纹识别方式相同的情况下，将上述第一预存指纹模板确定为上述第一屏对应的第二预存指纹模板；
上述提取模块62，还用于在上述第一屏对应的指纹识别方式，与上述第二屏对应的指纹识别方式不同的情况下，基于上述第一屏对应的指纹识别方式，从上述第一指纹信息中提取第三指纹特征作为上述第一屏对应的第二预存指纹模板。
可选地，上述装置还包括：生成模块和更新模块；
上述获取模块61，还用于获取上述第一屏的第一背景图像，以及上述第二屏的第二背景图像；
上述生成模块，用于将上述第一背景图像和上述第二背景图像融合，生成共用背景图像；
上述更新模块，用于根据上述共用背景图像，对第一指纹信息进行去噪处理，更新上述第一指纹信息。
可选地，上述装置还包括添加模块；
上述提取模块62，还用于在上述第二指纹特征与上述第一预存指纹模板匹配的情况下，提取区别指纹特征，上述区别指纹特征为上述第二指纹特征与上述第一预存指纹模板之间的不同生物特征；
上述添加模块，用于将上述区别指纹特征添加至上述第一预存指纹模板。
可选地，上述指纹识别方式包括以下至少一项：屏下光学指纹识别方式、屏下超声指纹识别方式、电容式指纹识别方式。
在本申请实施例提供的指纹识别装置中，在电子设备包含第一屏和第二屏的情况下，首先获取用户通过第一屏获取第一指纹信息，然后基于第二屏对应的指纹识别方式，从第一指纹信息中提取第一指纹特征作为第二屏对应的第一预存指纹模板，再通过第二屏获取第二指纹信息，最后从第二指纹信息中提取第二指纹特征，并判断第二指纹特征是否与第一指纹模板匹配。如此，通过获取第一指纹信息提取第二屏对应的第一预存指纹模板，减少用户在多屏电子设备的指纹识别过程中的操作次数，减低降低用户操作的冗余度。
本申请实施例中的指纹识别装置可以是装置，也可以是终端中的部件、集成电路、或芯片。该装置可以是移动电子设备，也可以为非移动电子设备。示例性的，移动电子设备可以为手机、平板电脑、笔记本电脑、掌上电脑、车载电子设备、可穿戴设备、超级移动个人计算机(ultra-mobile personal computer，UMPC)、上网本或者个人数字助理(personal digital assistant，PDA)等，非移动电子设备可以为服务器、网络附属存储器(Network Attached Storage，NAS)、个人计算机(personal computer，PC)、电视机(television，TV)、柜员机或者自助机等，本申请实施例不作具体限定。
本申请实施例中的指纹识别装置可以为具有操作系统的装置。该操作系统可以为安卓 (Android)操作系统，可以为iOS操作系统，还可以为其他可能的操作系统，本申请实施例不作具体限定。
本申请实施例提供的指纹识别装置能够实现图1至图5的方法实施例实现的各个过程，为避免重复，这里不再赘述。
本实施例中各种实现方式具有的有益效果具体可以参见上述方法实施例中相应实现方式所具有的有益效果，为避免重复，此处不再赘述。
可选地，如图7所示，本申请实施例还提供一种电子设备700，包括处理器701，存储器702，存储在存储器702上并可在所述处理器701上运行的程序或指令，该程序或指令被处理器701执行时实现上述指纹识别方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
需要说明的是，本申请实施例中的电子设备包括上述所述的移动电子设备和非移动电子设备。
图8为实现本申请实施例的一种电子设备的硬件结构示意图。
该电子设备800包括但不限于：射频单元801、网络模块802、音频输出单元803、输入单元804、传感器805、显示单元806、用户输入单元807、接口单元808、存储器809、以及处理810等部件。
本领域技术人员可以理解，电子设备800还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器810逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图8中示出的电子设备结构并不构成对电子设备的限定，电子设备可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
其中，处理器810，用于通过上述第一屏获取第一指纹信息；基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为上述第二屏对应的第一预存指纹模板；通过上述第二屏获取第二指纹信息；从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述第一预存指纹模板匹配。
可选地，处理器810，还用于上述基于上述第二屏对应的指纹识别方式，从上述第一指纹信息中提取出第一指纹特征作为第一预存指纹模板之后，在上述第一屏对应的指纹识 别方式，与上述第二屏对应的指纹识别方式相同的情况下，将上述第一预存指纹模板确定为上述第一屏对应的第二预存指纹模板；在上述第一屏对应的指纹识别方式，与上述第二屏对应的指纹识别方式不同的情况下，基于上述第一屏对应的指纹识别方式，从上述第一指纹信息中提取第三指纹特征作为上述第一屏对应的第二预存指纹模板。
可选地，处理器810，还用于上述通过上述第一屏获取第一指纹信息之前，获取上述第一屏的第一背景图像，以及上述第二屏的第二背景图像；将上述第一背景图像和上述第二背景图像融合，生成共用背景图像；
处理器810，还用于上述通过上述第一屏获取第一指纹信息之后，根据上述共用背景图像，对第一指纹信息进行去噪处理，更新上述第一指纹信息。
可选地，处理器810，还用于上述从上述第二指纹信息中提取出第二指纹特征，并判断上述第二指纹特征是否与上述第一预存指纹模板匹配之后，在上述第二指纹特征与上述第一预存指纹模板匹配的情况下，提取区别指纹特征，上述区别指纹特征为上述第二指纹特征与上述第一预存指纹模板之间的不同生物特征；将上述区别指纹特征添加至上述第一预存指纹模板。
可选地，上述指纹识别方式包括以下至少一项：屏下光学指纹识别方式、屏下超声指纹识别方式、电容式指纹识别方式。
在本申请实施例提供的电子设备中，在电子设备包含第一屏和第二屏的情况下，首先获取用户通过第一屏获取第一指纹信息，然后基于第二屏对应的指纹识别方式，从第一指纹信息中提取第一指纹特征作为第二屏对应的第一预存指纹模板，再通过第二屏获取第二指纹信息，最后从第二指纹信息中提取第二指纹特征，并判断第二指纹特征是否与第一指纹模板匹配。如此，通过获取第一指纹信息提取第二屏对应的第一预存指纹模板，减少用户在多屏电子设备的指纹识别过程中的操作次数，减低降低用户操作的冗余度。
本实施例中各种实现方式具有的有益效果具体可以参见上述方法实施例中相应实现方式所具有的有益效果，为避免重复，此处不再赘述。
应理解的是，本申请实施例中，输入单元804可以包括图形处理器(Graphics Processing Unit，GPU)8041和麦克风8042，图形处理器8041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元806 可包括显示面板8061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板8061。用户输入单元807包括触控面板8071以及其他输入设备8072。触控面板8071，也称为触摸屏。触控面板8071可包括触摸检测装置和触摸控制器两个部分。其他输入设备8072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。存储器809可用于存储软件程序以及各种数据，包括但不限于应用程序和操作系统。处理器810可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器810中。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述指纹识别方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的电子设备中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述指纹识别方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片、系统芯片、芯片系统或片上系统芯片等。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参 照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以计算机软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (15)

  1. 一种指纹识别方法，应用于包含第一屏和第二屏的电子设备，所述方法包括：
    通过所述第一屏获取第一指纹信息；
    基于所述第二屏对应的指纹识别方式，从所述第一指纹信息中提取出第一指纹特征作为所述第二屏对应的第一预存指纹模板；
    通过所述第二屏获取第二指纹信息；
    从所述第二指纹信息中提取出第二指纹特征，并判断所述第二指纹特征是否与所述第一预存指纹模板匹配。
  2. 根据权利要求1所述的方法，其中，所述基于所述第二屏对应的指纹识别方式，从所述第一指纹信息中提取出第一指纹特征作为第一预存指纹模板之后，所述方法还包括：
    在所述第一屏对应的指纹识别方式，与所述第二屏对应的指纹识别方式相同的情况下，将所述第一预存指纹模板确定为所述第一屏对应的第二预存指纹模板；
    在所述第一屏对应的指纹识别方式，与所述第二屏对应的指纹识别方式不同的情况下，基于所述第一屏对应的指纹识别方式，从所述第一指纹信息中提取第三指纹特征作为所述第一屏对应的第二预存指纹模板。
  3. 根据权利要求1所述的方法，其中，所述通过所述第一屏获取第一指纹信息之前，所述方法还包括：
    获取所述第一屏的第一背景图像，以及所述第二屏的第二背景图像；
    将所述第一背景图像和所述第二背景图像融合，生成共用背景图像；
    所述通过所述第一屏获取第一指纹信息之后，所述方法还包括：
    根据所述共用背景图像，对第一指纹信息进行去噪处理，更新所述第一指纹信息。
  4. 根据权利要求1所述的方法，其中，所述从所述第二指纹信息中提取出第二指纹特征，并判断所述第二指纹特征是否与所述第一预存指纹模板匹配之后，所述方法还包括：
    在所述第二指纹特征与所述第一预存指纹模板匹配的情况下，提取区别指纹特征，所述区别指纹特征为所述第二指纹特征与所述第一预存指纹模板之间的不同生物特 征；
    将所述区别指纹特征添加至所述第一预存指纹模板。
  5. 根据权利要求1-4任一项所述的方法，其中，所述指纹识别方式包括以下至少一项：屏下光学指纹识别方式、屏下超声指纹识别方式、电容式指纹识别方式。
  6. 一种指纹识别装置，应用于包含第一屏和第二屏的电子设备，所述装置包括：获取模块、提取模块和判断模块；
    所述获取模块，用于通过所述第一屏获取第一指纹信息；
    所述提取模块，用于基于所述第二屏对应的指纹识别方式，从所述第一指纹信息中提取出第一指纹特征作为所述第二屏对应的第一预存指纹模板；
    所述获取模块，还用于通过所述第二屏获取第二指纹信息；
    所述判断模块，用于从所述第二指纹信息中提取出第二指纹特征，并判断所述第二指纹特征是否与所述第一预存指纹模板匹配。
  7. 根据权利要求6所述的装置，其中，所述装置还包括确定模块；
    所述确定模块，用于在所述第一屏对应的指纹识别方式，与所述第二屏对应的指纹识别方式相同的情况下，将所述第一预存指纹模板确定为所述第一屏对应的第二预存指纹模板；
    所述提取模块，还用于在所述第一屏对应的指纹识别方式，与所述第二屏对应的指纹识别方式不同的情况下，基于所述第一屏对应的指纹识别方式，从所述第一指纹信息中提取第三指纹特征作为所述第一屏对应的第二预存指纹模板。
  8. 根据权利要求6所述的装置，其中，所述装置还包括：生成模块和更新模块；
    所述获取模块，还用于获取所述第一屏的第一背景图像，以及所述第二屏的第二背景图像；
    所述生成模块，用于将所述第一背景图像和所述第二背景图像融合，生成共用背景图像；
    所述更新模块，用于根据所述共用背景图像，对第一指纹信息进行去噪处理，更新所述第一指纹信息。
  9. 根据权利要求8所述的装置，其中，所述装置还包括添加模块；
    所述提取模块，还用于在所述第二指纹特征与所述第一预存指纹模板匹配的情况下，提取区别指纹特征，所述区别指纹特征为所述第二指纹特征与所述第一预存指纹模板之间的不同生物特征；
    所述添加模块，用于将所述区别指纹特征添加至所述第一预存指纹模板。
  10. 根据权利要求6-9任一项所述的装置，其中，所述指纹识别方式包括以下至少一项：屏下光学指纹识别方式、屏下超声指纹识别方式、电容式指纹识别方式。
  11. 一种电子设备，包括处理器，存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如权利要求1-5任一项所述的指纹识别方法的步骤。
  12. 一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如权利要求1-5任一项所述的指纹识别方法的步骤。
  13. 一种计算机程序产品，所述计算机程序产品被至少一个处理器执行以实现如权利要求1-5任一项所述的指纹识别方法的步骤。
  14. 一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如权利要求1-5任一项所述的指纹识别方法的步骤。
  15. 一种电子设备，其特征在于，包括所述电子设备被配置成用于执行如权利要求1-5任一项所述的指纹识别方法的步骤。
PCT/CN2022/099800 2021-06-22 2022-06-20 指纹识别方法、装置、电子设备和可读存储介质 WO2022268023A1 (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117056912A (zh) * 2023-08-15 2023-11-14 浙江齐安信息科技有限公司 基于canvas指纹的操作系统识别方法、设备及介质

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113486738A (zh) * 2021-06-22 2021-10-08 维沃移动通信有限公司 指纹识别方法、装置、电子设备和可读存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101079106A (zh) * 2007-07-10 2007-11-28 深圳市天识科技有限公司 一种兼容不同指纹传感器图像信息的指纹识别方法
JP2011253378A (ja) * 2010-06-02 2011-12-15 Waseda Univ 認証装置及び認証方法
CN105022984A (zh) * 2014-04-28 2015-11-04 中国电信股份有限公司 指纹采集方法、指纹比对方法、指纹识别装置和系统
CN208046678U (zh) * 2018-04-19 2018-11-02 京东方科技集团股份有限公司 一种双屏显示装置
CN113486738A (zh) * 2021-06-22 2021-10-08 维沃移动通信有限公司 指纹识别方法、装置、电子设备和可读存储介质

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106470239B (zh) * 2015-08-21 2020-01-10 华为终端有限公司 一种任务切换方法及相关设备
CN107395363B (zh) * 2017-07-31 2020-12-15 南京中诚签信息科技有限公司 指纹共享方法及移动终端
CN109740496B (zh) * 2018-12-28 2021-02-05 维沃移动通信有限公司 移动终端及识别方法
CN110795020A (zh) * 2019-10-25 2020-02-14 维沃移动通信有限公司 一种解锁方法及电子设备
CN112764579B (zh) * 2021-01-21 2022-04-15 维沃移动通信有限公司 显示模组及电子设备

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101079106A (zh) * 2007-07-10 2007-11-28 深圳市天识科技有限公司 一种兼容不同指纹传感器图像信息的指纹识别方法
JP2011253378A (ja) * 2010-06-02 2011-12-15 Waseda Univ 認証装置及び認証方法
CN105022984A (zh) * 2014-04-28 2015-11-04 中国电信股份有限公司 指纹采集方法、指纹比对方法、指纹识别装置和系统
CN208046678U (zh) * 2018-04-19 2018-11-02 京东方科技集团股份有限公司 一种双屏显示装置
CN113486738A (zh) * 2021-06-22 2021-10-08 维沃移动通信有限公司 指纹识别方法、装置、电子设备和可读存储介质

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP4361881A4 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117056912A (zh) * 2023-08-15 2023-11-14 浙江齐安信息科技有限公司 基于canvas指纹的操作系统识别方法、设备及介质
CN117056912B (zh) * 2023-08-15 2024-06-11 浙江齐安信息科技有限公司 基于canvas指纹的操作系统识别方法、设备及介质

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