CN109976615A - Fingerprint image processing method and relevant apparatus - Google Patents
Fingerprint image processing method and relevant apparatus Download PDFInfo
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- CN109976615A CN109976615A CN201910244793.4A CN201910244793A CN109976615A CN 109976615 A CN109976615 A CN 109976615A CN 201910244793 A CN201910244793 A CN 201910244793A CN 109976615 A CN109976615 A CN 109976615A
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- 238000003672 processing method Methods 0.000 title claims abstract description 17
- 238000001914 filtration Methods 0.000 claims abstract description 56
- 238000000034 method Methods 0.000 claims abstract description 56
- 238000003825 pressing Methods 0.000 claims abstract description 54
- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000001514 detection method Methods 0.000 claims abstract description 4
- 230000015654 memory Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 10
- 230000008034 disappearance Effects 0.000 claims description 6
- 238000012795 verification Methods 0.000 description 29
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 238000005457 optimization Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
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- 230000001960 triggered effect Effects 0.000 description 2
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- 238000011982 device technology Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/0414—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means using force sensing means to determine a position
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/04817—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
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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
- G06V40/1365—Matching; Classification
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- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
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- Multimedia (AREA)
- User Interface Of Digital Computer (AREA)
- Collating Specific Patterns (AREA)
Abstract
The embodiment of the present application discloses a kind of fingerprint image processing method and relevant apparatus, applied to electronic equipment, the display screen of electronic equipment includes the predeterminable area for carrying out fingerprint recognition, electronic equipment absolute presupposition region is provided with fingerprint mould group, electronic equipment shows the first icon in predeterminable area first, and detects the pressing operation for being directed to predeterminable area；Secondly when detecting the pressing operation for predeterminable area, the first fingerprint image is acquired, and whether detection pressing operation lifts；Then non-finger print information filtering is carried out according to the first fingerprint image and the first icon, obtains the second fingerprint image；Fingerprint comparison is carried out according to the second fingerprint image and the fingerprint template prestored, obtains comparison result；Respective operations are finally executed according to comparison result.The embodiment of the present application reduce fingerprint authentication process refuse it is sincere, be conducive to optimize fingerprint image processing, improve fingerprint authentication process high efficiency and accuracy.
Description
Technical Field
The present application relates to the field of electronic device technologies, and in particular, to a fingerprint image processing method and a related apparatus.
Background
In the fingerprint scheme under the screen of present electronic equipment such as cell-phone, the unblock process is unanimous basically with the unblock process of traditional capacitanc fingerprint, triggers the collection picture of fingerprint in the time of pressing through pressing the fingerprint promptly, compares the fingerprint template of having input in the system, reachs whether fingerprint match result. The current scheme of fingerprint under screen is that the fingerprint is pressed and then the lens placed under the screen is triggered to collect the optical image, so the accuracy of the fingerprint image has great influence on the result of fingerprint identification.
Disclosure of Invention
The embodiment of the application provides a fingerprint image processing method and a related device, which aim to improve the accuracy of fingerprint verification of electronic equipment and reduce the fingerprint false rejection rate.
In a first aspect, an embodiment of the present application provides a fingerprint image processing method, which is applied to an electronic device, where a display screen of the electronic device includes a preset region for performing fingerprint identification, and the electronic device is provided with a fingerprint module in the preset region, where the method includes:
displaying a first icon in the preset area, and detecting a pressing operation aiming at the preset area;
when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted;
filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image;
performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result;
and executing corresponding operation according to the comparison result.
In a second aspect, an embodiment of the present application provides a fingerprint image processing apparatus, which is applied to an electronic device, where a display screen of the electronic device includes a preset area for performing fingerprint identification, and the electronic device is provided with a fingerprint module corresponding to the preset area; the fingerprint image processing device comprises a processing unit and a communication unit, wherein,
the processing unit is used for displaying a first icon in the preset area and detecting a pressing operation aiming at the preset area; the fingerprint detection device is used for acquiring a first fingerprint image when a pressing operation aiming at the preset area is detected, and detecting whether the pressing operation is lifted; the non-fingerprint information filtering module is used for filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image; the fingerprint comparison module is used for comparing the second fingerprint image with a pre-stored fingerprint template to obtain a comparison result; and the operation module is used for executing corresponding operation according to the comparison result.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps in any method of the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the application, the electronic device first displays a first icon in the preset area, and detects a pressing operation for the preset area; secondly, when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted; then, non-fingerprint information filtering is carried out according to the first fingerprint image and the first icon to obtain a second fingerprint image; performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result; and finally, executing corresponding operation according to the comparison result. Therefore, in the example, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and the pre-stored fingerprint template, so that the problem that the false rejection rate of the fingerprint verification process is increased due to the fact that the first icon is hidden too late due to factors such as system blockage is avoided, the accuracy of fingerprint collection is improved through the non-fingerprint information filtering, the false rejection rate of the fingerprint verification process is reduced, optimization of fingerprint image processing is facilitated, and the efficiency and the accuracy of the fingerprint verification process are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of an electronic device for collecting a fingerprint according to an embodiment of the present application;
fig. 2a is a schematic flowchart of a fingerprint image processing method according to an embodiment of the present application;
FIG. 2b is a schematic diagram of a mode provided by an embodiment of the present application;
FIG. 2c is a schematic diagram of a mode provided by an embodiment of the present application;
FIG. 2d is a schematic diagram of a mode provided by an embodiment of the present application;
fig. 2e is a schematic process diagram of an image capturing effect provided by an embodiment of the present application;
FIG. 3 is a schematic flowchart of another fingerprint image processing method provided in the embodiments of the present application;
FIG. 4 is a schematic flowchart of another fingerprint image processing method provided in the embodiments of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 6 is a block diagram of functional units of a fingerprint image processing apparatus according to an embodiment of the present application.
Detailed Description
The fingerprint identification technology corresponds a person with his fingerprint, and the real identity of the person can be verified by comparing his fingerprint with the fingerprint stored in advance and identifying through minutiae of different fingerprints. The characteristic points refer to break points, bifurcation points and turning points of interruption, bifurcation or turning of fingerprint lines. The fingerprint lines of each person are different from each other on the pattern, the break point, the bifurcation point and the turning point and are unique. And the uniqueness is invariable throughout the life, and just by means of the uniqueness and the stability, the fingerprint identification technology can be created. The fingerprint identification technology has the advantages of high identification speed, convenience in acquisition, low price and the like, and is widely applied to a plurality of subject fields such as image processing, mode identification, computer vision and the like.
As shown in fig. 1, fig. 1 is a schematic view of an electronic device 101 collecting fingerprints, and this electronic device 101 includes display screen 102 and for the fingerprint module 104 that the predetermined area 103 of display screen 102 set up, 105 are the fingerprint enlargements, and when user's finger touched the screen, the light that display screen 102 sent penetrated the apron and lighted the fingerprint texture, formed the fingerprint light film, and the fingerprint was given the fingerprint module with reflection light passback, finally formed fingerprint image. The electronic device related to the embodiment of the present application may be an electronic device with a fingerprint module, and the electronic device may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, which have wireless communication functions, and various forms of User Equipment (UE), a Mobile Station (MS), a terminal device (terminal), and the like.
At present, in the scheme of fingerprint under a screen, a lens arranged below the screen is triggered to collect an optical image after a fingerprint is pressed, so that if a fingerprint identification icon (identification fingerprint pressing position) on the screen disappears slowly (influenced by factors such as system blockage) in the fingerprint pressing process, a very large probability is taken as fingerprint information to be collected into a fingerprint collection image and used for comparison with a fingerprint template, and at the moment, the False Rejection Rate (FRR) of the fingerprint verification process obviously rises. Based on this, the present application provides a fingerprint image processing method to solve the above problem, and the present application will be described in detail below.
Referring to fig. 2a, fig. 2a is a schematic flowchart of a fingerprint image processing method provided in an embodiment of the present application, and is applied to an electronic device, a display screen of the electronic device includes a preset area for performing fingerprint identification, and the electronic device is provided with a fingerprint module corresponding to the preset area, where as shown in the figure, the fingerprint image processing method includes:
s201, the electronic equipment displays a first icon in the preset area and detects the pressing operation aiming at the preset area;
wherein, the fingerprint module can be integrated in electronic equipment's screen, also can be optical fingerprint module under the screen, does not do the only restriction here.
The projection of the preset area on the plane where the sampling end of the fingerprint module is located is coincided with the sampling end, the fingerprint identification area can be in a circular shape, a square shape, an irregular shape and the like, and the unique limitation is not made here.
The pressing operation can trigger the electronic equipment to highlight the preset area to prompt the user to press the position with the finger, and the display effect can be dynamically changed or fixed and is not limited uniquely here.
For example, the electronic device may support icon display of multiple modes in a preset area, and the first icon may specifically include an icon of a "mirror flower moon" mode as shown in fig. 2b, or an icon of a "virtual air force field" mode as shown in fig. 2c, or an icon of an "energy beam" mode as shown in fig. 2 d.
S202, when the electronic equipment detects the pressing operation aiming at the preset area, acquiring a first fingerprint image and detecting whether the pressing operation is lifted;
s203, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image;
wherein the acquiring process of the first icon comprises the steps of firstly reading a flag bit value; and looking up a table according to the flag bit value to obtain an icon mode, and looking up a map library according to the icon mode to obtain a first icon.
And the fingerprint information filtering comprises the steps of calculating the similarity of the color information of the corresponding pixel points when the lifting of the pressing operation is detected, and determining to filter the non-fingerprint information based on the similarity.
S204, the electronic equipment performs fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result;
as shown in the example of the image acquisition process shown in fig. 2e, a fingerprint icon of the electronic device disappears later than a time point of image acquisition of a fingerprint, the electronic device acquires a first fingerprint image, then determines whether the first fingerprint image includes image information of the first icon according to comparison between the first icon and the first fingerprint image, if so, filters the image information of the first icon from the first fingerprint image to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result.
S205, the electronic equipment executes corresponding operation according to the comparison result.
Wherein, the executing the corresponding operation includes performing fingerprint verification on the second fingerprint image, and the implementation manner of obtaining the verification result may be: the electronic equipment acquires a pre-stored fingerprint template; and comparing the second fingerprint image with the fingerprint template to obtain a verification result. The fingerprint template is data in which reference fingerprint information of a user finger is stored.
It can be seen that, in the embodiment of the application, the electronic device first displays a first icon in the preset area, and detects a pressing operation for the preset area; secondly, when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted; then, non-fingerprint information filtering is carried out according to the first fingerprint image and the first icon to obtain a second fingerprint image; performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result; and finally, executing corresponding operation according to the comparison result. Therefore, in the example, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and the pre-stored fingerprint template, so that the problem that the false rejection rate of the fingerprint verification process is increased due to the fact that the first icon is hidden too late due to factors such as system blockage is avoided, the accuracy of fingerprint collection is improved through the non-fingerprint information filtering, the false rejection rate of the fingerprint verification process is reduced, optimization of fingerprint image processing is facilitated, and the efficiency and the accuracy of the fingerprint verification process are improved.
In one possible example, the filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image includes: the electronic equipment acquires the first icon; the electronic equipment compares the first icon with the first fingerprint graph to determine whether the first fingerprint image comprises image information of the first icon; if the electronic equipment comprises the image information of the first icon, filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image; and if the electronic equipment does not comprise the image information of the first icon, determining that the first fingerprint image is a second fingerprint image.
The determining whether the first fingerprint image includes the image information of the first icon includes calculating similarity of color information of corresponding pixel points, and then determining whether the first fingerprint image includes the image information of the first icon based on the similarity.
In specific implementation, the electronic device acquires a first icon A, compares the first icon A with a first fingerprint graph B, determines that the B comprises the image information of the A, and filters the image information of the A from the B to obtain a second fingerprint image C.
In this example, the electronic device performs non-fingerprint information filtering on the fingerprint image by determining whether the first fingerprint image includes the image information of the first icon, which is beneficial to improving the accuracy of fingerprint verification.
In one possible example, the filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image includes: the electronic equipment filters the image information of the first icon from the first fingerprint image to obtain a second fingerprint image; before the electronic device displays the first icon in the preset area, the method further includes: and determining that the disappearance time point of the icon displayed in the preset area is later than the fingerprint image collection time point according to the historical fingerprint image collected by the electronic equipment.
In specific implementation, the disappearance time point of the first icon a is determined to be later than the fingerprint image collection time point according to the historical fingerprint image collected by the electronic device, and at this time, the electronic device filters the image information of the first icon a from the first fingerprint image B to obtain the second fingerprint image C.
Therefore, in this example, the disappearance time point of the first icon is determined to be later than the fingerprint image collection time point according to the historical fingerprint image collected by the electronic device, so that it is determined that the first fingerprint image includes the image information of the first icon, and the non-fingerprint information is filtered, thereby improving the accuracy of fingerprint image collection.
In one possible example, the filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image includes: the electronic equipment acquires a plurality of pixel points of the first icon corresponding to the first fingerprint image; and the electronic equipment updates the color information of the plurality of pixel points in the first fingerprint image into a random value in a preset human hand color information set to obtain a second fingerprint image.
The preset hand color information set is obtained by collecting fingerprint images based on history or by network pushing, AI intelligent learning expansion and other ways.
The random value aims to restrict the color information of the pixel point to a credible interval and reduce the noise influence.
In specific implementation, the preset human hand color information set includes pixel point colors Y1, Y2, Y3, Y4, and Y5. The electronic equipment acquires a plurality of pixel points X1, X2 and X3 of the first icon A corresponding to the first fingerprint image B; and the electronic equipment randomly updates the color information of the X1, the X2 and the X3 into Y1, Y2 and Y4 in a preset human hand color information set to obtain a second fingerprint image.
Therefore, in this example, the electronic device obtains the second fingerprint image by updating the color information of the plurality of pixel points in the first fingerprint image to the random value in the preset human hand color information set, which is beneficial to reducing the noise influence of the image information of the preset area icon on the fingerprint image collection, and is beneficial to improving the convenience and the efficiency of fingerprint verification on the basis of ensuring the accuracy of fingerprint verification.
In one possible example, the filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image includes: the electronic device determines that the first icon corresponds to a plurality of pixel points of the first fingerprint image; the electronic equipment calculates target color information of each pixel point in the plurality of pixel points according to a preset color calculation formula, wherein the preset color calculation formula is as follows:wherein Xk is the kth pixel point of the plurality of pixel points, n is the number of adjacent pixel points of the pixel point Xk, f (Xk) represents the target color information of the pixel point Xk, aki represents the weight of the ith adjacent pixel point of the adjacent pixel points of the pixel point Xk, and the adjacent pixel points and the pixel point Xk include the same edge or the same vertex; and the electronic equipment updates the first fingerprint image according to the calculated target color information to obtain a second fingerprint image.
The weight can be divided into a pure fingerprint area, a noise fusion area and a background area according to the influence of different areas on fingerprint image acquisition, wherein the weight of the pure fingerprint area is the largest, the weight of the noise fusion area is the second, and the background area is the smallest.
In a specific implementation, the electronic device determines that the first icon a corresponds to a plurality of pixel points X1, X2, X3 of the first fingerprint image B; and calculating the target color information of each pixel point in the plurality of pixel points according to a preset color calculation formula to obtain target color information Y1, Y2 and Y3, and updating the first fingerprint image according to the calculated target color information by the electronic equipment to obtain a second fingerprint image C.
Therefore, in this example, the electronic device calculates the target color information of each pixel point of the plurality of pixel points according to a preset color calculation formula, and then updates the first fingerprint image according to the calculated target color information to obtain the second fingerprint image, which is beneficial to reducing the noise influence of non-fingerprint information on fingerprint image acquisition and improving the accuracy of fingerprint image acquisition.
In one possible example, the filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image includes: the electronic device determines that the first icon corresponds to a plurality of pixel points of the first fingerprint image, and each pixel point corresponds to reference color information of the first icon; the electronic equipment determines target color information of each pixel point according to the current color information and the reference color information of each pixel point; and the electronic equipment updates the first fingerprint image according to the determined target color information to obtain a second fingerprint image.
The reference color information comprises color information of the first icon collected when the first icon is acquired.
In a specific implementation, the electronic device determines that the first icon a corresponds to a plurality of pixel points X1, X2, X3 of the first fingerprint image B, and that X1, X2, X3 correspond to reference color information Y1, Y2, Y3 of the first icon; the electronic equipment determines target color information Z1, Z2 and Z3 of each pixel point according to the current color information X1, X2 and X3 of each pixel point and the reference color information Y1, Y2 and Y3; and the electronic equipment obtains a second fingerprint image according to the first fingerprint image updated by Z1, Z2 and Z3.
In this example, the electronic device determines the target color information of each pixel point according to the current color information of each pixel point and the reference color information; the electronic equipment updates the first fingerprint image according to the determined target color information to obtain a second fingerprint image, and the second fingerprint image removes the reference color information, namely the influence of the first icon is eliminated.
In one possible example, the alignment result is an alignment success result; the executing the corresponding operation according to the comparison result comprises: the electronic equipment executes fingerprint unlocking operation according to the comparison success result; or the electronic equipment executes payment operation according to the comparison success result; or the electronic equipment executes application control operation according to the comparison success result.
Wherein the control operation comprises deleting an application or starting an application.
Referring to fig. 3, which is a schematic flowchart of a fingerprint image processing method provided in an embodiment of the present application, and is consistent with the embodiment shown in fig. 2a, fig. 3 is a flowchart of an electronic device shown in fig. 1, where a display screen of the electronic device includes a preset area for performing fingerprint identification, and the electronic device is provided with a fingerprint module corresponding to the preset area, as shown in the figure, the fingerprint image processing method includes:
s301, the electronic equipment displays a first icon in the preset area and detects a pressing operation aiming at the preset area;
s302, when the electronic equipment detects the pressing operation aiming at the preset area, acquiring a first fingerprint image and detecting whether the pressing operation is lifted;
s303, the electronic equipment acquires the first icon;
s304, the electronic equipment compares the first icon with the first fingerprint graph, and determines whether the first fingerprint image comprises image information of the first icon;
s305, if the electronic equipment comprises the image information of the first icon, filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image;
s306, if the electronic equipment does not comprise the image information of the first icon, determining that the first fingerprint image is a second fingerprint image;
s307, the electronic equipment performs fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result;
and S308, the electronic equipment executes corresponding operation according to the comparison result.
It can be seen that, in the embodiment of the application, the electronic device first displays a first icon in the preset area, and detects a pressing operation for the preset area; secondly, when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted; then, non-fingerprint information filtering is carried out according to the first fingerprint image and the first icon to obtain a second fingerprint image; performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result; and finally, executing corresponding operation according to the comparison result. Therefore, in the example, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and the pre-stored fingerprint template, so that the problem that the false rejection rate of the fingerprint verification process is increased due to the fact that the first icon is hidden too late due to factors such as system blockage is avoided, the accuracy of fingerprint collection is improved through the non-fingerprint information filtering, the false rejection rate of the fingerprint verification process is reduced, optimization of fingerprint image processing is facilitated, and the efficiency and the accuracy of the fingerprint verification process are improved.
In addition, the electronic equipment filters the fingerprint image by determining whether the first fingerprint image comprises the image information of the first icon or not, so that the accuracy of fingerprint verification is improved.
Referring to fig. 4, fig. 4 is a schematic flowchart of a fingerprint image processing method provided in an embodiment of the present application, and the method is applied to an electronic device, where the electronic device includes a display screen and a fingerprint module set in a preset area of the display screen, and as shown in the figure, the fingerprint image processing method includes:
s401, the electronic equipment displays a first icon in the preset area and detects a pressing operation aiming at the preset area;
s402, when the electronic equipment detects the pressing operation aiming at the preset area, acquiring a first fingerprint image and detecting whether the pressing operation is lifted;
s403, the electronic equipment acquires the first icon;
s404, the electronic equipment compares the first icon with the first fingerprint graph, and determines whether the first fingerprint image comprises image information of the first icon;
s405, the electronic equipment comprises the image information of the first icon, and a plurality of pixel points of the first icon corresponding to the first fingerprint image are obtained;
s406, updating the color information of the plurality of pixel points in the first fingerprint image to a random value in a preset human hand color information set to obtain a second fingerprint image;
s407, the electronic equipment performs fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result;
s408, the electronic equipment executes corresponding operation according to the comparison result.
It can be seen that, in the embodiment of the application, the electronic device first displays a first icon in the preset area, and detects a pressing operation for the preset area; secondly, when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted; then, non-fingerprint information filtering is carried out according to the first fingerprint image and the first icon to obtain a second fingerprint image; performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result; and finally, executing corresponding operation according to the comparison result. Therefore, in the example, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and the pre-stored fingerprint template, so that the problem that the false rejection rate of the fingerprint verification process is increased due to the fact that the first icon is hidden too late due to factors such as system blockage is avoided, the accuracy of fingerprint collection is improved through the non-fingerprint information filtering, the false rejection rate of the fingerprint verification process is reduced, optimization of fingerprint image processing is facilitated, and the efficiency and the accuracy of the fingerprint verification process are improved.
In addition, the electronic equipment obtains a second fingerprint image by updating the color information of the plurality of pixel points in the first fingerprint image into a random value in a preset hand color information set, so that the influence of the image information of the preset area icons on the noise of fingerprint image acquisition is favorably reduced, and the convenience and the efficiency of fingerprint verification are favorably improved on the basis of ensuring the accuracy of fingerprint verification.
Consistent with the embodiments shown in fig. 2a, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of an electronic device 500 provided in an embodiment of the present application, as shown in the figure, a display screen of the electronic device 500 includes a preset area for performing fingerprint identification, the electronic device is provided with a fingerprint module corresponding to the preset area, and further includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for performing the following steps;
displaying a first icon in the preset area, and detecting a pressing operation aiming at the preset area;
when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted;
filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image;
performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result;
and executing corresponding operation according to the comparison result.
It can be seen that, in the embodiment of the application, the electronic device first displays a first icon in the preset area, and detects a pressing operation for the preset area; secondly, when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted; then, non-fingerprint information filtering is carried out according to the first fingerprint image and the first icon to obtain a second fingerprint image; performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result; and finally, executing corresponding operation according to the comparison result. Therefore, in the example, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and the pre-stored fingerprint template, so that the problem that the false rejection rate of the fingerprint verification process is increased due to the fact that the first icon is hidden too late due to factors such as system blockage is avoided, the accuracy of fingerprint collection is improved through the non-fingerprint information filtering, the false rejection rate of the fingerprint verification process is reduced, optimization of fingerprint image processing is facilitated, and the efficiency and the accuracy of the fingerprint verification process are improved.
In a possible example, the non-fingerprint information filtering is performed according to the first fingerprint image and the first icon to obtain a second fingerprint image, and the instruction in the program 521 is specifically configured to perform the following operations: acquiring the first icon; comparing the first icon with the first fingerprint graph, and determining whether the first fingerprint image comprises image information of the first icon; if so, filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image; and if not, determining that the first fingerprint image is a second fingerprint image.
In a possible example, the non-fingerprint information filtering is performed according to the first fingerprint image and the first icon to obtain a second fingerprint image, and the instruction in the program 521 is specifically configured to perform the following operations: filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image; before the first icon is displayed in the preset area, the method further includes the following specific instructions in the program 521: and determining that the disappearance time point of the icon displayed in the preset area is later than the fingerprint image collection time point according to the historical fingerprint image collected by the electronic equipment.
In a possible example, the filtering of the image information of the first icon from the first fingerprint image to obtain a second fingerprint image is performed, and the instructions in the program 521 are specifically configured to perform the following operations: acquiring a plurality of pixel points of the first icon corresponding to the first fingerprint image; and updating the color information of the plurality of pixel points in the first fingerprint image into a random value in a preset human hand color information set to obtain a second fingerprint image.
In a possible example, the filtering of the image information of the first icon from the first fingerprint image to obtain a second fingerprint image is performed, and the instructions in the program 521 are specifically configured to perform the following operations: determining that the first icon corresponds to a plurality of pixel points of the first fingerprint image; calculating target color information of each pixel point in the plurality of pixel points according to a preset color calculation formula, wherein the preset color calculation formula is as follows:wherein Xk is the kth pixel point of the plurality of pixel points, n is the number of adjacent pixel points of the pixel point Xk, f (Xk) represents the target color information of the pixel point Xk, aki represents the weight of the ith adjacent pixel point of the adjacent pixel points of the pixel point Xk, and the adjacent pixel points and the pixel point Xk include the same edge or the same vertex; and updating the first fingerprint image according to the calculated target color information to obtain a second fingerprint image.
In a possible example, the filtering of the image information of the first icon from the first fingerprint image to obtain a second fingerprint image is performed, and the instructions in the program 521 are specifically configured to perform the following operations: determining that the first icon corresponds to a plurality of pixel points of the first fingerprint image, and that each pixel point corresponds to reference color information of the first icon; determining target color information of each pixel point according to the current color information and the reference color information of each pixel point; and updating the first fingerprint image according to the determined target color information to obtain a second fingerprint image.
In one possible example, the alignment result is an alignment success result; the instructions in the program 521 are specifically configured to perform the following operations: executing fingerprint unlocking operation according to the comparison success result; or, executing payment operation according to the comparison success result; or executing application control operation according to the comparison success result.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a block diagram of functional units of a fingerprint image processing apparatus 600 according to an embodiment of the present application. The fingerprint image processing device 600 is applied to an electronic device, a display screen of the electronic device comprises a preset area for fingerprint identification, the electronic device is provided with a fingerprint module corresponding to the preset area, the fingerprint image processing device comprises a processing unit 601 and a communication unit 602, wherein,
the processing unit 601 is configured to display a first icon in the preset area, and detect a pressing operation for the preset area; the fingerprint detection device is used for acquiring a first fingerprint image when a pressing operation aiming at the preset area is detected, and detecting whether the pressing operation is lifted; the non-fingerprint information filtering module is used for filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image; the fingerprint comparison module is used for comparing the second fingerprint image with a pre-stored fingerprint template to obtain a comparison result; and the operation module is used for executing corresponding operation according to the comparison result.
The fingerprint image processing device 600 may further include a storage unit 603 for storing program codes and data of an electronic device. The processing unit 601 may be a processor, the communication unit 602 may be an internal communication interface, and the storage unit 603 may be a memory.
It can be seen that, in the embodiment of the application, the electronic device first displays a first icon in the preset area, and detects a pressing operation for the preset area; secondly, when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted; then, non-fingerprint information filtering is carried out according to the first fingerprint image and the first icon to obtain a second fingerprint image; performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result; and finally, executing corresponding operation according to the comparison result. Therefore, in the example, the electronic equipment performs non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image, and performs fingerprint comparison according to the second fingerprint image and the pre-stored fingerprint template, so that the problem that the false rejection rate of the fingerprint verification process is increased due to the fact that the first icon is hidden too late due to factors such as system blockage is avoided, the accuracy of fingerprint collection is improved through the non-fingerprint information filtering, the false rejection rate of the fingerprint verification process is reduced, optimization of fingerprint image processing is facilitated, and the efficiency and the accuracy of the fingerprint verification process are improved.
In a possible example, the processing unit 601 is specifically configured to perform non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image: acquiring the first icon; comparing the first icon with the first fingerprint graph, and determining whether the first fingerprint image comprises image information of the first icon; if so, filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image; and if not, determining that the first fingerprint image is a second fingerprint image.
In a possible example, the processing unit 601 is specifically configured to perform non-fingerprint information filtering according to the first fingerprint image and the first icon to obtain a second fingerprint image: filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image; before the first icon is displayed in the preset area, the method further includes the processing unit 601 specifically configured to: and determining that the disappearance time point of the icon displayed in the preset area is later than the fingerprint image collection time point according to the historical fingerprint image collected by the electronic equipment.
In a possible example, the processing unit 601 is specifically configured to filter the image information of the first icon from the first fingerprint image to obtain a second fingerprint image: acquiring a plurality of pixel points of the first icon corresponding to the first fingerprint image; and updating the color information of the plurality of pixel points in the first fingerprint image into a random value in a preset human hand color information set to obtain a second fingerprint image.
In one possible example, the method willThe image information of the first icon is filtered from the first fingerprint image to obtain a second fingerprint image, and the processing unit 601 is specifically configured to: determining that the first icon corresponds to a plurality of pixel points of the first fingerprint image; calculating target color information of each pixel point in the plurality of pixel points according to a preset color calculation formula, wherein the preset color calculation formula is as follows:wherein Xk is the kth pixel point of the plurality of pixel points, n is the number of adjacent pixel points of the pixel point Xk, f (Xk) represents the target color information of the pixel point Xk, aki represents the weight of the ith adjacent pixel point of the adjacent pixel points of the pixel point Xk, and the adjacent pixel points and the pixel point Xk include the same edge or the same vertex; and updating the first fingerprint image according to the calculated target color information to obtain a second fingerprint image.
In a possible example, the processing unit 601 is specifically configured to filter the image information of the first icon from the first fingerprint image to obtain a second fingerprint image: determining that the first icon corresponds to a plurality of pixel points of the first fingerprint image, and that each pixel point corresponds to reference color information of the first icon; determining target color information of each pixel point according to the current color information and the reference color information of each pixel point; and updating the first fingerprint image according to the determined target color information to obtain a second fingerprint image.
In one possible example, the alignment result is an alignment success result; the processing unit 601 is specifically configured to: executing fingerprint unlocking operation according to the comparison success result; or, executing payment operation according to the comparison success result; or executing application control operation according to the comparison success result.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. The utility model provides a fingerprint image processing method, its characterized in that is applied to electronic equipment, electronic equipment's display screen is including being used for carrying out fingerprint identification's preset area, electronic equipment is relative preset area is provided with the fingerprint module, the method includes:
displaying a first icon in the preset area, and detecting a pressing operation aiming at the preset area;
when the pressing operation aiming at the preset area is detected, acquiring a first fingerprint image and detecting whether the pressing operation is lifted;
filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image;
performing fingerprint comparison according to the second fingerprint image and a pre-stored fingerprint template to obtain a comparison result;
and executing corresponding operation according to the comparison result.
2. The method of claim 1, wherein the filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image comprises:
acquiring the first icon;
comparing the first icon with the first fingerprint graph, and determining whether the first fingerprint image comprises image information of the first icon;
if so, filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image;
and if not, determining that the first fingerprint image is a second fingerprint image.
3. The method of claim 1, wherein the filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image comprises:
filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image;
before the first icon is displayed in the preset area, the method further comprises:
and determining that the disappearance time point of the icon displayed in the preset area is later than the fingerprint image collection time point according to the historical fingerprint image collected by the electronic equipment.
4. The method according to claim 2 or 3, wherein the filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image comprises:
acquiring a plurality of pixel points of the first icon corresponding to the first fingerprint image;
and updating the color information of the plurality of pixel points in the first fingerprint image into a random value in a preset human hand color information set to obtain a second fingerprint image.
5. The method according to claim 2 or 3, wherein the filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image comprises:
determining that the first icon corresponds to a plurality of pixel points of the first fingerprint image;
calculating target color information of each pixel point in the plurality of pixel points according to a preset color calculation formula, wherein the preset color calculation formula is as follows:wherein Xk is the kth pixel point of the plurality of pixel points, n is the number of adjacent pixel points of the pixel point Xk, f (Xk) represents the target color information of the pixel point Xk, aki represents the weight of the ith adjacent pixel point of the adjacent pixel points of the pixel point Xk, and the adjacent pixel points and the pixel point Xk include the same edge or the same vertex;
and updating the first fingerprint image according to the calculated target color information to obtain a second fingerprint image.
6. The method according to claim 2 or 3, wherein the filtering the image information of the first icon from the first fingerprint image to obtain a second fingerprint image comprises:
determining that the first icon corresponds to a plurality of pixel points of the first fingerprint image, and that each pixel point corresponds to reference color information of the first icon;
determining target color information of each pixel point according to the current color information and the reference color information of each pixel point;
and updating the first fingerprint image according to the determined target color information to obtain a second fingerprint image.
7. The method of any one of claims 1-6, wherein the alignment result is a successful alignment result; the executing the corresponding operation according to the comparison result comprises:
executing fingerprint unlocking operation according to the comparison success result; or,
executing payment operation according to the comparison success result; or,
and executing application control operation according to the comparison success result.
8. The fingerprint image processing device is characterized by being applied to electronic equipment, wherein a display screen of the electronic equipment comprises a preset area for fingerprint identification, and the electronic equipment is provided with a fingerprint module relative to the preset area; the fingerprint image processing device comprises a processing unit and a communication unit, wherein,
the processing unit is used for displaying a first icon in the preset area and detecting a pressing operation aiming at the preset area; the fingerprint detection device is used for acquiring a first fingerprint image when a pressing operation aiming at the preset area is detected, and detecting whether the pressing operation is lifted; the non-fingerprint information filtering module is used for filtering non-fingerprint information according to the first fingerprint image and the first icon to obtain a second fingerprint image; the fingerprint comparison module is used for comparing the second fingerprint image with a pre-stored fingerprint template to obtain a comparison result; and the operation module is used for executing corresponding operation according to the comparison result.
9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111160244A (en) * | 2019-12-27 | 2020-05-15 | 敦泰电子（深圳）有限公司 | Fingerprint identification method and device |
| WO2020192532A1 (en) * | 2019-03-28 | 2020-10-01 | Oppo广东移动通信有限公司 | Fingerprint image processing method and related apparatus |
| CN112580556A (en) * | 2020-12-25 | 2021-03-30 | 北京集创北方科技股份有限公司 | Optical fingerprint acquisition method and device, electronic equipment and storage medium |
| CN114004852A (en) * | 2021-10-15 | 2022-02-01 | 深圳市亚略特生物识别科技有限公司 | Fingerprint generation method and device, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2897038A1 (en) * | 2014-01-15 | 2015-07-22 | Samsung Electronics Co., Ltd | Method for processing input and electronic device thereof |
| CN106503609A (en) * | 2015-09-08 | 2017-03-15 | 腾讯科技（深圳）有限公司 | The recognition methods of fingerprint ridge point and device |
| CN107239737A (en) * | 2017-05-03 | 2017-10-10 | 广东欧珀移动通信有限公司 | A kind of optical finger print recognition methods and Related product |
| CN107507137A (en) * | 2017-07-14 | 2017-12-22 | 深圳前海城市宠儿网络科技有限公司 | A kind of image repair method and system |
| CN109389071A (en) * | 2018-09-29 | 2019-02-26 | 京东方科技集团股份有限公司 | Fingerprint detection method and fingerprint image compensation method and device, electronic device |
| WO2019061443A1 (en) * | 2017-09-30 | 2019-04-04 | 华为技术有限公司 | Notification display method and terminal |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109976615B (en) * | 2019-03-28 | 2021-03-12 | Oppo广东移动通信有限公司 | Fingerprint image processing method and related device |
-
2019
- 2019-03-28 CN CN201910244793.4A patent/CN109976615B/en active Active
-
2020
- 2020-03-18 WO PCT/CN2020/080061 patent/WO2020192532A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2897038A1 (en) * | 2014-01-15 | 2015-07-22 | Samsung Electronics Co., Ltd | Method for processing input and electronic device thereof |
| CN106503609A (en) * | 2015-09-08 | 2017-03-15 | 腾讯科技（深圳）有限公司 | The recognition methods of fingerprint ridge point and device |
| CN107239737A (en) * | 2017-05-03 | 2017-10-10 | 广东欧珀移动通信有限公司 | A kind of optical finger print recognition methods and Related product |
| CN107507137A (en) * | 2017-07-14 | 2017-12-22 | 深圳前海城市宠儿网络科技有限公司 | A kind of image repair method and system |
| WO2019061443A1 (en) * | 2017-09-30 | 2019-04-04 | 华为技术有限公司 | Notification display method and terminal |
| CN109389071A (en) * | 2018-09-29 | 2019-02-26 | 京东方科技集团股份有限公司 | Fingerprint detection method and fingerprint image compensation method and device, electronic device |
Non-Patent Citations (1)
| Title |
|---|
| 钱超: "基于MATLAB_GUI的指纹图像采集及预处理研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020192532A1 (en) * | 2019-03-28 | 2020-10-01 | Oppo广东移动通信有限公司 | Fingerprint image processing method and related apparatus |
| CN111160244A (en) * | 2019-12-27 | 2020-05-15 | 敦泰电子（深圳）有限公司 | Fingerprint identification method and device |
| CN111160244B (en) * | 2019-12-27 | 2023-10-03 | 敦泰电子（深圳）有限公司 | Fingerprint identification method and device |
| CN112580556A (en) * | 2020-12-25 | 2021-03-30 | 北京集创北方科技股份有限公司 | Optical fingerprint acquisition method and device, electronic equipment and storage medium |
| CN114004852A (en) * | 2021-10-15 | 2022-02-01 | 深圳市亚略特生物识别科技有限公司 | Fingerprint generation method and device, electronic equipment and storage medium |
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| Publication number | Publication date |
|---|---|
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