CN116486439A - Fingerprint input method, electronic device and storage medium - Google Patents

Fingerprint input method, electronic device and storage medium Download PDF

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Publication number
CN116486439A
CN116486439A CN202310341992.3A CN202310341992A CN116486439A CN 116486439 A CN116486439 A CN 116486439A CN 202310341992 A CN202310341992 A CN 202310341992A CN 116486439 A CN116486439 A CN 116486439A
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Prior art keywords
fingerprint
image
island
sliding
images
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任彦斌
黄怡菲
陈可卿
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TIANJIN JIHAO TECHNOLOGY CO LTD
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TIANJIN JIHAO TECHNOLOGY CO LTD
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Priority to CN202310341992.3A priority Critical patent/CN116486439A/en
Publication of CN116486439A publication Critical patent/CN116486439A/en
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    • 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
    • G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/16—Image acquisition using multiple overlapping images; Image stitching
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Image Input (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The embodiment of the application discloses a fingerprint input method, electronic equipment and a storage medium, wherein the method comprises the following steps: in the current sliding fingerprint input process, controlling a fingerprint acquisition module to acquire one fingerprint image, and performing first image processing on the one fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing comprises image quality processing; and performing second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.

Description

Fingerprint input method, electronic device and storage medium
Technical Field
The application relates to the technical field of biological recognition, in particular to a fingerprint input method, electronic equipment and a storage medium.
Background
Along with the continuous development of fingerprint identification technology and the upgrade of hardware configuration of electronic equipment, the fingerprint identification technology based on a capacitive image sensor and an optical image sensor is widely applied to the electronic equipment, and reliable guarantee is provided for information security of the electronic equipment. Meanwhile, the attention of the user to the fingerprint identification success rate of the electronic equipment is also higher and higher, and especially the user experience evaluation of the function is directly influenced by the fingerprint identification success rate within 1-2 weeks after the user just inputs the fingerprint. In order to improve the fingerprint identification success rate of the electronic equipment, various manufacturers make the fingerprint area input by the user as large as possible by various methods so as to cover the common unlocking area of the electronic equipment.
In the related art, a user is mainly prompted to input a fingerprint by pressing a finger multiple times, for example, the electronic device may preset the number of times of successful press input to 15 times or 20 times, and then the user is prompted to press a fingerprint input area on the electronic device multiple times with the finger until the number of times of successful press input of the fingerprint by the user reaches the preset number of times of successful press input.
However, although the number of success times set in advance is 15 times or 20 times, the number of pressing times actually completed by the user in the whole fingerprint input process generally needs 30-50 times, and the number of times exceeds the number of success times set in advance, so that the fingerprint input operation is complicated and time-consuming.
Disclosure of Invention
The embodiment of the application provides a fingerprint input method, electronic equipment and a storage medium, which are used for solving the technical problems that fingerprint input operation is complex and time-consuming in the related technology.
According to a first aspect of the present application, a fingerprint entry method is disclosed, the method comprising:
in the current sliding fingerprint input process, controlling a fingerprint acquisition module to acquire one fingerprint image, and performing first image processing on the one fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing comprises image quality processing;
And performing second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.
According to a second aspect of the present application, an electronic device is disclosed comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to implement a fingerprint entry method as in the first aspect.
According to a third aspect of the present application, a computer-readable storage medium is disclosed, having stored thereon a computer program/instruction which, when executed by a processor, implements a fingerprint entry method as in the first aspect.
According to a fourth aspect of the present application, a computer program product is disclosed, comprising a computer program/instruction which, when executed by a processor, implements a fingerprint entry method as in the first aspect.
In the embodiment of the application, in the current sliding fingerprint input process, a fingerprint acquisition module is controlled to acquire a fingerprint image, and first image processing is carried out on the fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing comprises image quality processing; and performing second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.
Compared with the prior art, the fingerprint on the finger can only be partially contacted with the fingerprint acquisition module when the finger is pressed to record the fingerprint, in the embodiment of the application, the fingerprint can be recorded by supporting the user in a sliding manner, and the fingerprint on the finger can be fully and fully contacted with the fingerprint acquisition module in the sliding process of the finger, so that compared with the finger pressing process, the fingerprint information of the fingerprint is recorded by the finger sliding at one time. In the process of inputting fingerprints by sliding the finger once, at least necessary image quality processing is carried out after each fingerprint image is acquired, then subsequent second image processing is carried out on a plurality of fingerprint intermediate images obtained by the image quality processing, and a target fingerprint island image is obtained.
Drawings
Fig. 1 is a flowchart of a fingerprint input method provided in an embodiment of the present application;
FIG. 2 is an exemplary diagram of a first image processing provided by an embodiment of the present application;
FIG. 3 is an exemplary diagram of a second image processing provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of a fingerprint input device according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments and that the acts referred to are not necessarily required by the embodiments of the present application.
Biometric technology has been widely applied to various terminal devices or electronic apparatuses. Biometric techniques include, but are not limited to, fingerprint recognition, palm print recognition, vein recognition, iris recognition, face recognition, living body recognition, anti-counterfeit recognition, and the like. Among them, fingerprint recognition generally includes optical fingerprint recognition, capacitive fingerprint recognition, and ultrasonic fingerprint recognition. With the rise of the full screen technology, the fingerprint identification module can be arranged in a local area or a whole area below the display screen, so that Under-screen (render-display) optical fingerprint identification is formed; alternatively, part or all of the optical fingerprint recognition module may be integrated into the display screen of the electronic device, thereby forming an In-screen (In-display) optical fingerprint recognition. The display screen may be an organic light emitting diode (Organic Light Emitting Diode, OLED) display screen or a liquid crystal display screen (LiquidCrystal Display, LCD) or the like. The fingerprint identification method generally comprises the steps of fingerprint image acquisition, preprocessing, feature extraction, feature matching and the like. Some or all of the above steps may be implemented by conventional Computer Vision (CV) algorithms, or by artificial intelligence (ArtificialIntelligence, AI) based deep learning algorithms. The fingerprint identification technology can be applied to portable or mobile terminals such as smart phones, tablet computers and game devices, and other electronic devices such as intelligent door locks, automobiles and bank automatic teller machines, and is used for fingerprint unlocking, fingerprint payment, fingerprint attendance checking, identity authentication and the like.
The embodiment of the application provides a fingerprint input method, electronic equipment and a storage medium.
For ease of understanding, the application scenario of the embodiments of the present application and some of the concepts involved will be first described below.
The whole fingerprint input flow is as follows: the user usually needs to input fingerprints for many times in the whole fingerprint input flow until the fingerprints input by the user meet the quality requirements of a fingerprint database. For ease of understanding, each entered fingerprint in the overall fingerprint entry flow is referred to as a "one-time fingerprint entry process", i.e., the overall fingerprint entry flow includes at least one fingerprint entry process.
For example, for the manner of pressing a finger to enter a fingerprint, a user presses and lifts the finger multiple times in the entire fingerprint-entering flow, each finger press-lift being referred to as a one-press fingerprint-entering process, at which time the entire fingerprint-entering flow includes at least one-press fingerprint-entering process.
For example, for the manner in which a sliding finger is used to enter a fingerprint, the user presses, slides, and lifts the finger multiple times throughout the fingerprint entry process, each finger press-slide-lift being referred to as a sliding fingerprint entry process, at which point the entire fingerprint entry process includes at least one sliding fingerprint entry process.
In the related art, a user inputs a fingerprint by pressing the finger, that is, presses the finger to input the fingerprint, specifically, the electronic device may preset the number of times of successful press input to 15 or 20 times, that is, the user needs to successfully press input the fingerprint 15 or 20 times in the whole fingerprint input process, however, although the preset number of times of successful press input to 15 or 20 times, the number of times of actual press completed by the user in the whole fingerprint input process generally needs 30 to 50 times, which far exceeds the preset number of times of successful press input to cause the fingerprint input operation to be complex and time-consuming. In addition, for a capacitive image sensor (sensor) or an optical image sensor, although the number of times of the recorded fingerprints reaches the requirement, the area of the fingerprints actually recorded in a base is smaller, gaps between fingerprint images cannot be well and completely covered, so that the images are difficult to splice, and the recorded fingerprints are poor in quality. Although the quality of the base can be improved through a learning strategy in the later period, for the identification rate of the base just recorded, the display of big data used by a large number of users is as follows: the problem of recognition miss-target easily occurs due to the general low level.
In this embodiment of the application, the user may enter the fingerprint by sliding the finger, i.e. the sliding finger enters the fingerprint. Compared with the fingerprint input by pressing the finger in the related art, the fingerprint on the finger can only be contacted with the fingerprint acquisition module locally, and in the embodiment of the application, the user can comprehensively and fully contact with the fingerprint acquisition module in the process of sliding the finger, so that the fingerprint information of the fingerprint input by sliding the finger once is more, and the user can input the fingerprint with higher quality only by sliding for a small number of times.
A one-time sliding fingerprint input process: also known as single-slide fingerprint entry, may involve two situations: one is from the user's perspective, defining the process from pressing a finger, sliding the finger, and then lifting the finger by the user, making up a single sliding fingerprint entry. The other is that, from the machine angle definition, the user presses down the finger, and the finger is always in contact with the fingerprint acquisition module, and the finger is not lifted, but the number of images acquired by the fingerprint acquisition module reaches the upper limit of sliding acquisition, for example, 60 images, and the process forms a single sliding fingerprint input.
The whole fingerprint input flow under the condition of sliding input fingerprint: the fingerprint is entered by including a plurality of sliding fingerprint entry processes, e.g., the user first performs a first sliding fingerprint entry; after the first sliding fingerprint input is finished, the second sliding fingerprint input is performed to continue inputting the fingerprints, … …, until the input fingerprints meet the quality requirement, and the fingerprint input flow is finished.
Fingerprint splicing: and (3) aligning the two fingerprint images (or the fingerprint intermediate image or the fingerprint island image) according to the feature points extracted by the model, and if the overlapped feature points can be found to reach a set threshold value, performing texture stitching on the two images to form a new fingerprint image, wherein the process is called fingerprint stitching.
Fingerprint island diagram: and performing fingerprint splicing processing on a series of fingerprint images to generate a new large image, namely a fingerprint island image.
Fingerprint base: and in the fingerprint input process, after a series of fingerprint island images formed after the collected fingerprint images are spliced are serialized, storing the fingerprint island images into a file, wherein the file for storing the fingerprint island images is a fingerprint base, and the template for fingerprint unlocking comparison later.
Next, a fingerprint input method provided in an embodiment of the present application will be described.
It should be noted that, in the embodiment of the present application, the fingerprint input behavior of the user may be continuously detected, for example, the user pressing input fingerprint, sliding input fingerprint, etc. are detected. And under the condition that the user presses the input fingerprint, invoking a fingerprint input algorithm in the related technology to perform fingerprint input processing. Under the condition that the user sliding fingerprint input is detected, the fingerprint input algorithm in the embodiment of the application is called to perform fingerprint input processing so as to support or be compatible with various fingerprint input modes.
Fig. 1 is a flowchart of a fingerprint input method provided in an embodiment of the present application, in this embodiment of the present application, taking a one-time sliding fingerprint input process in an entire fingerprint input flow as an example, as shown in fig. 1, the method may include the following steps: step 101 and step 102;
In step 101, during the current sliding fingerprint input process, the fingerprint acquisition module is controlled to acquire a fingerprint image, and a first image processing is performed on the fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing includes image quality processing.
In some embodiments, the user may be guided to enter the fingerprint by sliding the finger, and accordingly, the following steps may be added before the above step 101: step 100;
in step 100, a first prompt is output, wherein the first prompt is used to instruct a user to enter a fingerprint by sliding a finger.
In practical applications, the first prompt may be a screen prompt message or a voice prompt message.
In this embodiment of the present application, the fingerprint acquisition module may be a capacitive image sensor or an optical image sensor of the electronic device.
Considering a side capacitor sensor and some optical image capturing sensors, parallel execution of an image capturing operation and an image algorithm processing operation cannot be realized under a trusted execution environment (Trusted Execution Environment, TEE) of electronic equipment, and in order to reduce the duration of image algorithm processing in a single fingerprint input process, in the embodiment of the present application, a one-time sliding fingerprint input process can be divided into two stages: a first stage of taking a picture and necessary image quality processing (i.e., a first image processing); and a second stage, generating a target fingerprint island graph (namely second image processing) based on the fingerprint intermediate image generated in the first stage, wherein the processing duration of the first stage is smaller than that of the second stage.
In the embodiment of the present application, the image quality processing may include the following types of processing: removing shading, removing residual shadow, improving definition, correcting deviation, and the like, and improving finger print quality in the image.
In the embodiment of the application, the image processing module for performing image quality processing on the fingerprint image may be a digital signal processor (Digital Signal Processing, DSP), a graphics processor (Graphics Processing Unit, GPU), or a central processing unit (Central Processing Unit, CPU).
In this embodiment of the application, through carrying out first image processing to the fingerprint image that fingerprint acquisition module gathered, can obtain the higher fingerprint intermediate image of quality, and then ensure that the fingerprint quality of this time sliding input in the fingerprint base is higher, improve the success rate of follow-up fingerprint authentication.
In step 102, a second image processing is performed on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process, so as to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.
In this embodiment of the present application, the second image processing may include stitching processing, and accordingly, image stitching processing is performed according to a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process, so as to obtain a target fingerprint island image; alternatively, the second image processing may include a screening process, and accordingly, the target fingerprint island image is screened from a plurality of fingerprint intermediate images generated during the current sliding fingerprint entry process.
In this embodiment of the present application, the type of the second image processing may be selected according to the area of the fingerprint intermediate image, for example, in the case where the area of the fingerprint intermediate image is relatively small, the second image processing is stitching processing; for the case where the area in the middle of the fingerprint is large, the second image processing is the screening processing.
In this embodiment of the present application, the duration of the first image processing is smaller than the duration of the second image processing, so as to ensure that the number of images acquired in the finger sliding process is sufficiently large.
In the embodiment, in the current sliding fingerprint input process, the fingerprint acquisition module is controlled to acquire a fingerprint image, and a first image processing is performed on the fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing comprises image quality processing; and performing second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.
Compared with the prior art, the fingerprint on the finger can only be partially contacted with the fingerprint acquisition module when the finger is pressed to record the fingerprint, in the embodiment of the application, the fingerprint can be recorded by supporting the user in a sliding manner, and the fingerprint on the finger can be fully and fully contacted with the fingerprint acquisition module in the sliding process of the finger, so that compared with the finger pressing process, the fingerprint information of the fingerprint is recorded by the finger sliding at one time. In the process of inputting fingerprints by sliding the finger once, at least necessary image quality processing is carried out after each fingerprint image is acquired, then subsequent second image processing is carried out on a plurality of fingerprint intermediate images obtained by the image quality processing, and a target fingerprint island image is obtained.
The fingerprint input process of the target fingerprint island graph is obtained from the steps of image acquisition, first image processing and second image processing. The entire sliding fingerprint entry flow typically includes a plurality of sliding fingerprint entry processes.
In another embodiment provided in the present application, for the first image processing, the step 101 may include the following steps: step 1011 and step 1012;
in step 1011, the fingerprint acquisition module is controlled to pause image acquisition after each fingerprint image acquisition is completed, and a first image processing is performed on one fingerprint image to obtain a fingerprint intermediate image;
after the first image processing of one fingerprint image is completed, the fingerprint acquisition module is controlled to continue acquiring the next fingerprint image in step 1012.
In this embodiment, step 1011 and step 1012 are both the first stage in the sliding fingerprint input process, in this stage, in the sliding process, each time the fingerprint acquisition module acquires a fingerprint image, the fingerprint acquisition module performs the first image processing on the fingerprint image, the processing time of the first image processing should not be too long, if the frame rate is affected by the too long so that the front and rear frame images cannot be spliced, after the acquired fingerprint image completes the first image processing, the fingerprint acquisition module continues to perform the next fingerprint image acquisition, and the processes of the image acquisition, the first image processing, the image acquisition resumption, and the first image processing are repeated, that is, the acquisition of a fingerprint image and the first image processing of a fingerprint image are performed in series and are performed alternately.
In this embodiment of the present application, for the first stage, since the processing duration of each fingerprint image is shorter, the processing duration may be regarded as parallel processing of "sliding to capture a picture and sending an algorithm to enter" so that the electronic device completes image capturing and image quality processing during the process of sliding a finger by a user. For the second stage, because the image stitching may be involved, and the algorithm involved in the image stitching is complex and takes a long time, the complex image stitching may be performed after the fingerprint acquisition module completes the acquisition of all the images, that is, after the fingerprint acquisition module terminates the image acquisition of the sliding fingerprint input, the complex image stitching process may be performed until the fingerprint acquisition module starts the image acquisition of the next sliding fingerprint input. Because the image quality processing is carried out on the image acquired by the fingerprint acquisition module in the first stage, the image is directly spliced based on the image acquired by the processing in the first stage, and the splicing speed is higher.
In another embodiment provided herein, as shown in fig. 2, for the first image processing, the first image processing may include at least one of the following in addition to the image quality processing: behavior judgment, first stitching processing, living body detection, and pressing detection.
The behavior judgment, the first splicing process, the living body detection, and the pressing detection are described in order.
In some embodiments, the first image processing may further include: abnormal sliding judgment and/or behavior judgment such as state information statistics; the abnormal sliding judgment is used for judging whether excessive sliding, excessive slow sliding and pressing exist in the current sliding fingerprint input process or not according to at least one fingerprint image; the state information statistics are used for counting the pressing times and sliding times in the current sliding fingerprint input process at least according to one fingerprint image.
In this embodiment of the present application, considering that many users may have become accustomed to entering fingerprints in a pressing manner, it is difficult to enter fingerprints in a sliding manner through prompting or guiding, so that compatibility is required for two different entering manners.
In order to be compatible with two different input modes, in the embodiment of the application, behavior judgment is performed according to the fingerprint image acquired in the sliding process so as to determine the actual fingerprint input mode of the user.
In the embodiment of the present application, three thresholds may be set: splice threshold < slip too slow threshold < repeat threshold) and initialize some slip statistics counts: a swipe too fast count, a swipe too slow count, and a press count.
For two adjacent fingerprint images collected by the fingerprint collection module, calculating the overlapping area of one currently collected fingerprint image and one previously collected fingerprint image; if the overlapping area is smaller than the splicing threshold, two fingerprint images cannot be spliced together, and the current sliding speed is judged to be too fast, and accordingly, the sliding speed is counted and added with 1; if the overlapping area is larger than the sliding too slow threshold value and smaller than the repetition threshold value, judging that the current sliding is too slow, and correspondingly, adding 1 to the sliding too slow count; if the overlapping area is larger than the repetition threshold, the two images are repeated, the current pressing behavior is judged, and accordingly, the pressing count is increased by 1.
For a fingerprint image generated too quickly, the fingerprint image can be stored as an island, and when other fingerprint images are acquired later, the other fingerprint images are attempted to be spliced with the island. And splicing the fingerprint image with the fingerprint island image obtained by last splicing or trying to splice with the largest island image for the fingerprint image with the overlapping area larger than the splicing threshold.
In some embodiments, the first image processing may further include: a first splicing treatment; the first stitching process is used for stitching the fingerprint image subjected to the image quality processing with the fingerprint intermediate image obtained by last stitching and/or at least one fingerprint intermediate image with the largest area, so as to obtain a new fingerprint intermediate image.
For example, in the current sliding fingerprint input process, the upper limit of the fingerprint acquisition module is 60, and then the second fingerprint image P acquired from the fingerprint acquisition module 2 Initially, for a first acquired fingerprint image P 1 And P 2 Splicing to obtain a fingerprint intermediate image P 12 Then a third fingerprint image P is acquired 3 For P 3 And P 12 Splicing to obtain P 123 And so on.
In this embodiment of the present application, it is considered that the stitching between two adjacent images is relatively simple and takes a relatively short time, so in the first stage, after the quality processing of the images is completed, simple image stitching processing may also be performed, for example, the fingerprint image after the current image quality processing is stitched with the fingerprint intermediate image obtained by the last stitching, or the stitching with the fingerprint intermediate image with the largest area is attempted. In the second stage, splicing is tried again on the un-spliced fingerprint intermediate image and the spliced fingerprint intermediate image in the first stage, and the splicing process is complex and time-consuming.
In some embodiments, it is also possible to do nothing in the first stage and to put all the splicing in the second stage.
In some embodiments, the first image processing may further include: performing living body detection according to one fingerprint image, and ending the whole fingerprint input flow when the detection is non-living body; the whole fingerprint input process comprises at least one sliding fingerprint input process.
In this embodiment of the application, in single slip fingerprint input process, if detect living body attack action, then end whole fingerprint input flow in advance to avoid fingerprint acquisition module to last carrying out the wasting of resources that image acquisition caused.
In this embodiment of the present application, in order to improve accuracy of living body detection, living body detection may be further performed according to a plurality of fingerprint images, at this time, living body attack count may be initialized, and when a fingerprint image including a living body attack object is screened out, the count is increased by 1, and when the count reaches a certain threshold, living body attack is considered to exist, and the whole fingerprint input procedure is ended in advance.
In some embodiments, the first image processing may further include: and (3) detecting the pressing, and ending the current sliding fingerprint input process under the condition that the pressing is detected.
In the embodiment of the application, when detecting that N continuous fingerprint images are all overlapped images or the duty ratio of the overlapped images in the acquired fingerprint images exceeds a first threshold value, determining that pressing is detected, wherein N is an integer greater than 1; and determining that the two fingerprint images are overlapped under the condition that the area overlapping ratio of the two adjacent fingerprint images is larger than a second threshold value.
In this embodiment of the application, because the fingerprint image overlap ratio that gathers when pressing is higher, splice these images can waste computational resource at concatenation in-process, consequently in single slip fingerprint input process, if pressing is detected, then the single slip fingerprint input process of ending in advance to avoid splicing repeated image, the computational resource waste that causes. In addition, by collecting limited images, the pressing input mode is judged, and the single input process is finished in advance, so that the aim of compatible pressing input is fulfilled.
In another embodiment provided in the present application, for the second image processing, the step 102 may include the following steps: step 1021;
in step 1021, image stitching processing is performed according to the plurality of fingerprint intermediate images generated in the current sliding fingerprint input process, so as to obtain a target fingerprint island image.
In some embodiments, all the image stitching processes in the single sliding fingerprint entry process may be put in the second stage process, where step 1021 includes the following steps:
splicing the current fingerprint intermediate image with the fingerprint island image obtained by the last splicing and/or at least one maximum fingerprint island image to obtain a new fingerprint island image;
And sequencing the fingerprint island images generated in the whole fingerprint input flow according to the area, and splicing the fingerprint island images exceeding the upper storage limit with the rest of the other fingerprint island images to obtain a target fingerprint island image, wherein the area of the fingerprint island image exceeding the upper storage limit is smaller than that of the rest of the fingerprint island images.
In this embodiment of the present application, because the storage space of the electronic device is limited, all the fingerprint island images cannot be saved, and some fingerprint island images with small areas need to be deleted, therefore, before deleting fingerprint island images with small areas, fingerprint island images with large areas can be screened according to the area sorting of the island images, and an attempt is made to splice the fingerprint island images with small areas with the fingerprint island images with large areas to be reserved.
In some embodiments, a simple image stitching process may be placed in the first stage and a complex image stitching process may be placed in the second stage, where step 1021 includes the steps of:
and sequencing the fingerprint intermediate images generated in the whole fingerprint input flow according to the area, and splicing the fingerprint intermediate images exceeding the upper storage limit with the rest of other fingerprint intermediate images to obtain the target fingerprint island diagram.
Therefore, in the embodiment of the application, the image splicing processing with different complexity can be put at different stages, and the user can select different processing modes according to actual needs, so that the flexibility is high.
In another embodiment provided in the present application, as shown in fig. 3, for the second image processing, the second image processing may further include, in addition to the image stitching processing: detecting the same finger;
in order to avoid resource waste caused by repeated input, the same finger detection is required before image stitching processing is carried out on a plurality of fingerprint intermediate images;
specifically, the second image processing may further include: detecting whether a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process exist fingerprint intermediate images matched with the input fingerprint island graph template features or not, if yes, ending the whole fingerprint input process; otherwise, performing image stitching processing according to a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image.
In this embodiment of the application, if there are fingerprint intermediate images that match with the registered fingerprint island pattern template features in a plurality of fingerprint intermediate images that produce in the current sliding fingerprint registration process, then indicate that the fingerprint that uses in the current sliding fingerprint registration process has been successfully registered before, need not carry out image stitching at this time, also need not to continue to register the fingerprint, namely the user need not to register the next sliding fingerprint again.
In this embodiment of the application, if there is not the fingerprint intermediate image that matches with the fingerprint island diagram template feature of having been input in the many fingerprint intermediate images that produce in the current slip fingerprint input process, then indicate that the fingerprint has not been input before the finger that uses in the current slip fingerprint input process, need carry out the image concatenation this moment, splice into the fingerprint island diagram that the area is bigger with the preceding slip fingerprint intermediate image of input.
Therefore, in the embodiment of the application, in the single sliding fingerprint input process, the finger inspection can be performed based on the fingerprint input by the sliding, if the finger is input successfully before, the finger is not allowed to be input any more, and the resource waste caused by repeated input is avoided.
In another embodiment provided in the present application, for the entire fingerprint input flow, the fingerprint input method provided in the embodiment of the present application may further include, after the step 102, the following steps: step 103;
in step 103, according to the target fingerprint island diagram or the state information statistical result obtained by the whole fingerprint input flow, whether the input end condition is satisfied is detected, if yes, the whole fingerprint input flow is ended;
wherein the entry end condition includes any one of: the total area of the target fingerprint island diagram or the area of the maximum target fingerprint island diagram reaches a third threshold, the sliding times reach a fourth threshold and the pressing times reach a fifth threshold; the fourth threshold is less than the fifth threshold.
In the embodiment of the application, if the area of the target fingerprint island graph obtained by splicing reaches a sufficiently good threshold, the whole fingerprint input process can be finished in advance, so that software and hardware resources of the electronic equipment are saved.
In the embodiment of the application, if the number of times that the user successfully records the sliding fingerprint in the whole fingerprint recording process reaches the set upper limit value, the whole fingerprint recording process is normally ended. For example, if the fourth threshold is 10, when the number of times that the user successfully slides the fingerprint input in the whole fingerprint input process is detected to reach 10, the whole fingerprint input process is ended.
In the embodiment of the application, if the number of times that the user presses the fingerprint to enter successfully in the whole fingerprint entering process reaches the set upper limit value, the whole fingerprint entering process is normally ended. For example, if the fifth threshold is 16, when the number of times that the user presses the fingerprint input successfully in the whole fingerprint input process is detected to reach 16 times, the whole fingerprint input process is ended.
Therefore, in the embodiment of the application, the ending conditions of the fingerprint input flow can be set from multiple dimensions, and different ending conditions are set for different fingerprint input behaviors so as to meet different input requirements of different users.
Therefore, in the embodiment of the application, aiming at the fingerprint input scene that the capacitive image sensor and the optical image sensor cannot realize image acquisition and algorithm parallel processing in the TEE environment of the electronic equipment, the input strategy of prompting sliding input preferentially and compatible pressing input is provided, so that users who are used to pressing input can be considered to keep original habit, meanwhile, the users who are used to pressing input can be guided to slide input, the users who are actually sliding input can complete input of the whole fingerprint database with high quality through few times of sliding, the user input speed is improved, the fingerprint image of the actually input database is good enough, and the occurrence probability of actual unlocking and miss-target is reduced.
Fig. 4 is a schematic structural diagram of a fingerprint input device provided in an embodiment of the present application, as shown in fig. 4, a fingerprint input device 400 may include: a first processing module 410 and a second processing module 420;
the first processing module 410 is configured to control the fingerprint acquisition module to acquire a fingerprint image during a current sliding fingerprint input process, and perform a first image processing on the fingerprint image to obtain a fingerprint intermediate image, where the first image processing includes image quality processing;
And the second processing module 420 is configured to perform second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process, so as to obtain a target fingerprint island image, where the duration of the first image processing is less than the duration of the second image processing.
In the embodiment, in the current sliding fingerprint input process, the fingerprint acquisition module is controlled to acquire a fingerprint image, and a first image processing is performed on the fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing comprises image quality processing; and performing second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.
Compared with the prior art, in the related art, when the finger is pressed to input the fingerprint, the fingerprint on the finger can only be partially contacted with the fingerprint acquisition module, and in the embodiment of the application, the user can be supported to input the fingerprint in a sliding manner, and because the user can comprehensively and fully contact the fingerprint acquisition module in the sliding process, the fingerprint information of the fingerprint input by the sliding finger is more compared with that of the finger pressed once. In the process of inputting fingerprints by sliding the finger once, at least necessary image quality processing is carried out after each fingerprint image is acquired, then subsequent second image processing is carried out on a plurality of fingerprint intermediate images obtained by the image quality processing, and a target fingerprint island image is obtained.
Optionally, as an embodiment, the first processing module 410 is specifically configured to:
the fingerprint acquisition module is controlled to pause image acquisition after each fingerprint image acquisition is completed, and the fingerprint image is subjected to first image processing to obtain a fingerprint intermediate image;
after the first image processing of the fingerprint image is finished, the fingerprint acquisition module is controlled to continuously acquire the next fingerprint image.
Optionally, as an embodiment, the first processing module 410 is further configured to: abnormal sliding judgment and/or state information statistics;
the abnormal sliding judgment is used for judging whether excessive sliding, excessive slow sliding and pressing exist in the current sliding fingerprint input process or not at least according to the fingerprint image;
and the state information statistics are used for counting the pressing times and the sliding times in the current sliding fingerprint input process at least according to the fingerprint image.
Optionally, as an embodiment, the first processing module 410 is further configured to: a first splicing treatment;
the first stitching process is used for stitching the fingerprint image subjected to the image quality processing with the fingerprint intermediate image obtained by last stitching and/or at least one fingerprint intermediate image with the largest area, so as to obtain a new fingerprint intermediate image.
Optionally, as an embodiment, the first processing module 410 is further configured to: performing living body detection according to the fingerprint image;
ending the whole fingerprint input flow under the condition that the fingerprint input flow is detected to be a non-living body; the whole fingerprint input flow comprises at least one sliding fingerprint input process.
Optionally, as an embodiment, the first processing module 410 is further configured to: the method comprises the steps of detecting pressing, and ending the current sliding fingerprint input process under the condition that the pressing is detected;
determining that pressing is detected under the condition that continuous N fingerprint images are all overlapped images or the duty ratio of the overlapped images in the acquired fingerprint images exceeds a first threshold value, wherein N is an integer larger than 1;
and under the condition that the area overlapping ratio of two adjacent fingerprint images is larger than a second threshold value, determining that the two fingerprint images are overlapped images.
Optionally, as an embodiment, the second processing module 420 is specifically configured to:
and performing image stitching processing according to a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image.
Optionally, as an embodiment, the second processing module 420 is specifically configured to:
Splicing the current fingerprint intermediate image with the fingerprint island image obtained by the last splicing and/or at least one maximum fingerprint island image to obtain a new fingerprint island image;
sorting fingerprint island images generated in the whole fingerprint input flow according to the area, and splicing the fingerprint island images exceeding the upper storage limit with the rest of the other fingerprint island images to obtain a target fingerprint island image, wherein the area of the fingerprint island image exceeding the upper storage limit is smaller than that of the rest of the fingerprint island images;
or alternatively
And sequencing the fingerprint intermediate images generated in the whole fingerprint input flow according to the area, and splicing the fingerprint intermediate images exceeding the upper storage limit with the rest of other fingerprint intermediate images to obtain the target fingerprint island diagram.
Optionally, as an embodiment, the second processing module 420 is further configured to: detecting whether a fingerprint intermediate image matched with the template features of the recorded fingerprint island images exists in a plurality of fingerprint intermediate images generated in the current sliding fingerprint recording process;
if yes, ending the whole fingerprint input flow; otherwise, performing image stitching processing according to a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image.
Optionally, as an embodiment, the fingerprint input device 400 may further include:
the third processing module is used for detecting whether the input end condition is met or not according to a target fingerprint island diagram or a state information statistical result obtained by the whole fingerprint input flow, and if yes, ending the whole fingerprint input flow;
wherein the entry end condition includes any one of: the total area of the target fingerprint island diagram or the area of the maximum target fingerprint island diagram reaches a third threshold, the sliding times reach a fourth threshold and the pressing times reach a fifth threshold; the fourth threshold is less than the fifth threshold.
Any one step and specific operation in any one step in the embodiment of the fingerprint input method provided by the application can be completed by a corresponding module in the fingerprint input device. The procedure of the respective operations performed by the respective modules in the fingerprint-entry device refers to the procedure of the respective operations described in the embodiments of the fingerprint-entry method.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
Fig. 5 is a block diagram of an electronic device provided in an embodiment of the present application, the electronic device including a processing component 522, further including one or more processors, and memory resources represented by memory 532, for storing instructions, such as applications, executable by the processing component 522. The application programs stored in the memory 532 may include one or more modules each corresponding to a set of instructions. Further, the processing component 522 is configured to execute instructions to perform the methods described above.
The electronic device may also include a power component 526 configured to perform power management of the electronic device, a wired or wireless network interface 550 configured to connect the electronic device to a network, and an input output (I/O) interface 558. The electronic device may operate based on an operating system stored in memory 532, such as Windows Server, macOS XTM, unixTM, linuxTM, freeBSDTM, or the like.
According to yet another embodiment of the present application, there is also provided a computer readable storage medium having stored thereon a computer program/instruction which, when executed by a processor, implements the steps of the fingerprint entry method according to any of the embodiments described above.
According to a further embodiment of the present application, there is also provided a computer program product comprising a computer program/instruction which, when executed by a processor, implements the steps of the fingerprint entry method according to any one of the embodiments described above.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the present application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The fingerprint input method, the electronic device and the storage medium provided by the application are described in detail, and specific examples are applied to the description of the principle and the implementation of the application, and the description of the above examples is only used for helping to understand the method and the core idea of the application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (13)

1. A fingerprint entry method, the method comprising:
in the current sliding fingerprint input process, controlling a fingerprint acquisition module to acquire one fingerprint image, and performing first image processing on the one fingerprint image to obtain a fingerprint intermediate image, wherein the first image processing comprises image quality processing;
and performing second image processing on a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image, wherein the duration of the first image processing is smaller than that of the second image processing.
2. The method of claim 1, wherein the controlling the fingerprint acquisition module to acquire one fingerprint image, performing a first image processing on the one fingerprint image to obtain a fingerprint intermediate image, includes:
The fingerprint acquisition module is controlled to pause image acquisition after each fingerprint image acquisition is completed, and the fingerprint image is subjected to first image processing to obtain a fingerprint intermediate image;
after the first image processing of the fingerprint image is finished, the fingerprint acquisition module is controlled to continuously acquire the next fingerprint image.
3. The method of claim 1, wherein the first image processing further comprises: abnormal sliding judgment and/or state information statistics;
the abnormal sliding judgment is used for judging whether excessive sliding, excessive slow sliding and pressing exist in the current sliding fingerprint input process or not at least according to the fingerprint image;
and the state information statistics are used for counting the pressing times and the sliding times in the current sliding fingerprint input process at least according to the fingerprint image.
4. The method of claim 1, wherein the first image processing further comprises: a first splicing treatment;
the first stitching process is used for stitching the fingerprint image subjected to the image quality processing with the fingerprint intermediate image obtained by last stitching and/or at least one fingerprint intermediate image with the largest area, so as to obtain a new fingerprint intermediate image.
5. The method of claim 1, wherein the first image processing further comprises: performing living body detection according to the fingerprint image, and ending the whole fingerprint input flow when the fingerprint image is detected to be a non-living body; the whole fingerprint input flow comprises at least one sliding fingerprint input process.
6. The method of claim 1, wherein the first image processing further comprises: the method comprises the steps of detecting pressing, and ending the current sliding fingerprint input process under the condition that the pressing is detected;
determining that pressing is detected under the condition that continuous N fingerprint images are all overlapped images or the duty ratio of the overlapped images in the acquired fingerprint images exceeds a first threshold value, wherein N is an integer larger than 1;
and under the condition that the area overlapping ratio of two adjacent fingerprint images is larger than a second threshold value, determining that the two fingerprint images are overlapped images.
7. The method according to any one of claims 1-6, wherein the performing a second image processing on the plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image includes:
and performing image stitching processing according to a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image.
8. The method of claim 7, wherein the performing image stitching according to the plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain the target fingerprint island image comprises:
splicing the current fingerprint intermediate image with the fingerprint island image obtained by the last splicing and/or at least one maximum fingerprint island image to obtain a new fingerprint island image;
sorting fingerprint island images generated in the whole fingerprint input flow according to the area, and splicing the fingerprint island images exceeding the upper storage limit with the rest of the other fingerprint island images to obtain a target fingerprint island image, wherein the area of the fingerprint island image exceeding the upper storage limit is smaller than that of the rest of the fingerprint island images;
or alternatively
And sequencing the fingerprint intermediate images generated in the whole fingerprint input flow according to the area, and splicing the fingerprint intermediate images exceeding the upper storage limit with the rest of other fingerprint intermediate images to obtain the target fingerprint island diagram.
9. The method of claim 7, wherein the second image processing further comprises: detecting whether a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process exist fingerprint intermediate images matched with the input fingerprint island graph template features or not, if yes, ending the whole fingerprint input process; otherwise, performing image stitching processing according to a plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain a target fingerprint island image.
10. The method of claim 7, wherein after performing image stitching processing according to the plurality of fingerprint intermediate images generated in the current sliding fingerprint input process to obtain the target fingerprint island image, further comprises:
detecting whether the input end condition is met or not according to a target fingerprint island diagram or a state information statistical result obtained by the whole fingerprint input flow, and if yes, ending the whole fingerprint input flow;
wherein the entry end condition includes any one of: the total area of the target fingerprint island diagram or the area of the maximum target fingerprint island diagram reaches a third threshold, the sliding times reach a fourth threshold and the pressing times reach a fifth threshold; the fourth threshold is less than the fifth threshold.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the method of any one of claims 1-10.
12. A computer readable storage medium having stored thereon a computer program/instruction, which when executed by a processor, implements the method of any of claims 1-10.
13. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the method of any of claims 1-10.
CN202310341992.3A 2023-03-31 2023-03-31 Fingerprint input method, electronic device and storage medium Pending CN116486439A (en)

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