CN109901754B - Data self-calibration method and related device - Google Patents
Data self-calibration method and related device Download PDFInfo
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- CN109901754B CN109901754B CN201910126854.7A CN201910126854A CN109901754B CN 109901754 B CN109901754 B CN 109901754B CN 201910126854 A CN201910126854 A CN 201910126854A CN 109901754 B CN109901754 B CN 109901754B
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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
- G06V40/13—Sensors therefor
- G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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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
- G06F3/042—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by opto-electronic means
Abstract
The embodiment of the application discloses a data self-calibration method and a related device, wherein the method comprises the following steps: when a touch operation event of a user for the preset area is detected, acquiring at least one first picture of the preset area; when the touch operation event is detected to be finished, acquiring a second picture of the preset area; determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture; updating a second set of data currently stored with the first set of data, the second set of data including a second exposure time and a second reference picture. The embodiment of the application is favorable for improving the convenience and flexibility of data updating and further improving the effectiveness of acquiring the fingerprint image.
Description
Technical Field
The application relates to the technical field of electronic equipment, in particular to a data self-calibration method and a related device.
Background
Along with the development of mobile communication technology, the application of electronic equipment (for example, a smart phone) is more and more extensive, in order to ensure the security of various data in the electronic equipment, a fingerprint unlocking function is set, and in order to make the screen of a display screen large enough, a fingerprint module under an optical screen is produced.
At present, parameters such as exposure time of fingerprints under an optical screen, reference pictures and the like are related to a hardware structure and an aging state of a device, so that when a mobile phone is dropped or hardware is aged, calibration data of electronic equipment when the electronic equipment is still used for leaving a factory may cause an abnormality that unlocking cannot be performed.
Disclosure of Invention
The embodiment of the application provides a data self-calibration method and a related device, so that convenience and flexibility of data updating are improved, and further effectiveness of obtaining a fingerprint image is improved.
In a first aspect, an embodiment of the present application provides a data self-calibration method, which is applied to an electronic device, where the electronic device includes a display screen and an underscreen fingerprint module set in a preset area of the display screen, and the method includes:
when a touch operation event of a user for the preset area is detected, acquiring at least one first picture of the preset area;
when the touch operation event is detected to be finished, acquiring a second picture of the preset area;
determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture;
updating a second set of data currently stored with the first set of data, the second set of data including a second exposure time and a second reference picture.
In a second aspect, an embodiment of the present application provides a data self-calibration apparatus, which is applied to an electronic device, where the electronic device includes a display screen and an underscreen fingerprint module set corresponding to a preset region of the display screen, and the data self-calibration apparatus includes a processing unit and a communication unit, where,
the processing unit is used for acquiring at least one first picture of the preset area through the communication unit when a touch operation event of a user for the preset area is detected; when the touch operation event is detected to be finished, acquiring a second picture of the preset area through the communication unit; determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture; updating a second set of data currently stored with the first set of data, the second set of data including a second exposure time and a second reference picture.
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 present application, when a touch operation event of a user for the preset area is detected, the electronic device acquires at least one first picture of the preset area, and when the touch operation event is detected to end, acquires a second picture of the preset area, then determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture, and finally updates a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture. Therefore, the electronic equipment can determine a first group of data to be used according to the first pictures and the second pictures collected by the nodes at different times in the process of using by a user at any time, a production line fixture is not needed, convenience and flexibility of data self-calibration are improved, and the effectiveness of a subsequently acquired fingerprint image is improved by updating the currently stored second group of data through the first group of data.
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. 2 is a schematic flow chart of a data self-calibration method provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating another method for self-calibration of data according to an embodiment of the present disclosure;
FIG. 4 is a schematic flow chart diagram illustrating another method for self-calibration of data according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another electronic device provided in an embodiment of the present application;
fig. 6 is a block diagram of functional units of a data self-calibration apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic device according to the embodiment of the present application may be an electronic device with data transmission capability, and the electronic device may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like.
The following describes embodiments of the present application in detail.
Fingerprint identification technique corresponds one person with his fingerprint, compares through the fingerprint module with his fingerprint and prestore, distinguishes through the minutiae characteristic point of different fingerprints, just can verify his true identity. 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, the electronic device 101 includes a display screen 102 and an under-screen fingerprint module 104 disposed in a preset area 103 of the display screen 102, the under-screen fingerprint module 104 is an optical under-screen fingerprint module, 105 is an enlarged fingerprint image, when a finger of a user touches the screen, light emitted by the display screen 102 according to a certain exposure time penetrates through a cover plate to illuminate a fingerprint texture, a fingerprint light film is formed, the fingerprint returns reflected light to the under-screen fingerprint module 104, and finally a fingerprint image is formed.
Referring to fig. 2, fig. 2 is a schematic flow chart of a data self-calibration method provided in an embodiment of the present application, and is applied to the electronic device shown in fig. 1, where the electronic device includes a display screen and an underscreen fingerprint module set in a preset area of the display screen, and as shown in the figure, the data self-calibration method includes:
s201, when a touch operation event of a user for the preset area is detected, the electronic equipment collects at least one first picture of the preset area.
The at least one first picture is a screen picture of a preset area including a fingerprint image of a user, which is acquired before a touch operation event starts (a pressing event of the user for the preset area is detected) and ends, and the electronic device acquires each first picture by using different exposure time, that is, the electronic device acquires the first picture by continuously modifying the exposure time within a range of the preset exposure time before the touch operation event starts and ends.
The projection of the preset area on the plane where the sampling end of the fingerprint module under the screen is located coincides with the sampling end, and the fingerprint identification area can be in a circular shape, a square shape, an irregular shape and the like and is not limited uniquely here.
S202, when the electronic equipment detects that the touch operation event is finished, acquiring a second picture of the preset area.
The electronic device may acquire a second picture within a preset time period (e.g., 100min) corresponding to the end of the touch operation event, where the second picture is a screen picture, and the second picture includes screen noise information, such as stains and foreign matters.
S203, the electronic equipment determines a first group of data according to the at least one first picture and the second picture, wherein the first group of data comprises a first exposure time and a first reference picture.
The specific implementation manner of determining the first group of data according to the at least one first picture and the second picture may be various, for example, the first exposure time may be determined according to the exposure time of one first picture in the at least one first picture, the first reference picture may be determined according to noise information on the second picture and an environmental parameter when the second picture is taken, or the average exposure time of a plurality of first pictures in the at least one first picture may be determined as the first exposure time, the second picture is used as the first reference picture, and the like, which is not limited herein.
S204, the electronic equipment updates a second set of data stored currently with the first set of data, wherein the second set of data comprises a second exposure time and a second reference picture.
The second exposure time and the second reference picture in the second set of data are the exposure time and the reference picture stored in the electronic device before the current self-calibration, for example, when the current self-calibration is the self-calibration performed for the first time, the second exposure time and the second reference picture are data stored in the electronic device by a technician when the electronic device leaves a factory, or when the current self-calibration is not the first self-calibration, for example, the second self-calibration or the third self-calibration, the second exposure time and the second reference picture are data determined and stored by the electronic device during the previous self-calibration of the current self-calibration.
Wherein a specific implementation manner of the electronic device updating the currently stored second set of data with the first set of data may be various, for example, the second exposure time may be replaced with the first exposure time, the second reference picture may be replaced with the first reference picture, or whether the first exposure time and the second exposure time are the same or the first reference picture and the second reference picture are the same may be detected first, wherein, when the first exposure time and the second exposure time are different and the first reference picture is the same as the second reference picture, the second exposure time may be replaced with only the first exposure time, or, when the first exposure time and the second exposure time are the same and the first reference picture and the second reference picture are different, only the first reference picture may be replaced with only the first reference picture, or in this case, a plurality of pixel points having different pixel values in the first reference picture and the second reference picture may be determined, only the pixel values of the plurality of pixel points in the first reference picture are used to cover the pixel values of the corresponding pixel points in the second reference picture, and the like, which is not limited herein.
It can be seen that, in the embodiment of the present application, when a touch operation event of a user for the preset area is detected, the electronic device acquires at least one first picture of the preset area, and when the touch operation event is detected to end, acquires a second picture of the preset area, then determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture, and finally updates a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture. Therefore, the electronic equipment can determine a first group of data to be used according to the first pictures and the second pictures collected by the nodes at different times in the process of using by a user at any time, a production line fixture is not needed, convenience and flexibility of data self-calibration are improved, and the effectiveness of a subsequently acquired fingerprint image is improved by updating the currently stored second group of data through the first group of data.
In one possible example, before the capturing of the first picture of the preset area when the start of the touch operation event of the user for the preset area is detected, the method further includes:
in a preset time period, detecting that the number of times of failure of executing a preset operation by the electronic equipment is greater than a preset number threshold, wherein the preset operation is as follows: when a fingerprint to-be-unlocked event is detected, acquiring a first reference fingerprint image of a user through the second exposure time, processing the first reference fingerprint image through the second reference picture to acquire a first target fingerprint image, and detecting whether the first target fingerprint image is matched with a preset fingerprint template, wherein the detection that the electronic equipment fails to execute a preset operation is that the first target fingerprint image is not matched with the preset fingerprint template;
and when the type of the preset operation failure is determined to be a preset type, detecting the touch operation event of the user aiming at the preset area.
The preset number threshold may be, for example, 3 times, 4 times, 5 times, and the like, which is not limited herein.
The event to be unlocked by the fingerprint may be various, for example, the event to be unlocked by the fingerprint may be a screen event to be unlocked, an event to be unlocked by an application program, an event to be unlocked by payment, and the like, which is not limited herein.
The specific implementation manner of processing the first reference fingerprint image through the second reference picture to obtain the first target fingerprint image is to remove noise on the first reference fingerprint image by using the second reference picture as a noise reference to obtain the first target fingerprint image, that is, to filter out noise pixel values on the second reference picture on the first reference fingerprint image to obtain the first target fingerprint image.
The preset operation failure may be a preset operation failure caused by a wet finger, or a preset operation failure caused by inaccurate calibration data, or a preset operation failure caused by inaccurate ambient light, or the like.
The specific implementation manner of determining that the type of the preset operation failure is the preset type may be that whether the preset operation failure is detected by the humidity sensor due to a wet finger, and then whether the preset operation failure is detected by the light sensor due to ambient light, and if not, it may be determined that the type of the failure is inaccurate calibration data.
Therefore, in this example, when the electronic device detects the number of times of the failure of the preset operation, the electronic device actively detects the touch operation event to perform a self-calibration process, which is beneficial to improving the timeliness of self-calibration, and performs self-calibration when the failure type is determined to be the preset type, so as to avoid the situation of self-calibration misoperation.
In one possible example, the determining a first set of data from the at least one first picture and the second picture comprises:
determining the first exposure time according to the at least one first picture;
and taking the second picture as the first reference picture.
The specific implementation manner of determining the first exposure time according to the at least one first picture may be various, for example, the pixel value of each pixel point in each first picture is obtained, the first number of pixel points whose pixel values are matched with the preset pixel values is determined, the exposure time corresponding to the first picture with the largest first number in the at least one first picture is determined as the first time, or the pixel average value of any region in each first picture is determined, and the exposure time corresponding to the first picture whose pixel average value is matched with the preset average value is determined as the first time, and the like, which is not limited herein.
As can be seen, in this example, the electronic device determines the first exposure time according to the at least one first picture, which is beneficial to improving accuracy of determining the exposure time, and meanwhile, the second picture is used as the first reference picture, which is beneficial to improving the first reference picture, i.e., convenience of noise.
In this possible example, said determining said first exposure time from said at least one first picture comprises:
acquiring a first pixel value of each first pixel point of at least one preset area in each first picture;
determining the pixel average value of the at least one preset area in each first picture according to the first pixel value of each first pixel point;
calculating the difference value between the pixel average value and a preset average value of each first picture;
determining a target picture in the at least one first picture of which the difference value is less than or equal to a preset difference value threshold;
and acquiring the exposure time when the target picture is acquired as the first exposure time.
The at least one region may be a central region of the first picture, or when the first picture is rectangular, the at least one region may be four right-angled regions, and the like, which is not limited herein.
The average value of the pixels of the at least one preset area in each first picture is an average value obtained by dividing the sum of the pixel values of all the first pixels of the at least one preset area by the number of the first pixels.
As can be seen, in this example, the electronic device determines the target picture according to the pixel average value of at least one preset region in each first picture, and then determines the corresponding first exposure time, which is beneficial to improving the accuracy of determining the first exposure time.
In one possible example, when it is detected that the touch operation event ends, acquiring a second picture of the preset area includes:
when the touch operation event is detected to be finished, acquiring the intensity of ambient light;
and when the intensity of the ambient light is smaller than a preset intensity threshold value, acquiring the second picture of the preset area.
It can be seen that, in this example, before the electronic device detects that the touch operation event is ended and collects the second picture, the intensity of the ambient light is first obtained, and when the intensity of the ambient light is smaller than the preset intensity threshold, collection is performed again, which is beneficial to reducing the influence of the ambient light on the calibration data, and improves the accuracy of the noise in the second picture.
In one possible example, after determining the first set of data from the at least one first picture and the second picture, and before updating the currently stored second set of data with the first set of data, the method further comprises:
acquiring a third picture through the first exposure time;
processing the third picture by the first reference picture;
and detecting that the image quality of the processed third picture is greater than a preset quality threshold according to the ratio of the signal quantity of the processed third picture to the spatial noise.
The third picture may be a picture including a fingerprint image acquired by the electronic device at any time, where the any time is a time when the user touches the preset area at any time in the process of operating the electronic device, and the third picture may be acquired by the electronic device under the condition that the background user does not perceive the third picture, which is not limited herein.
The specific calculation method of the semaphore of the third picture is to determine a first average value of pixel values of pixel points of all convex points in a fingerprint image in the third picture and determine a second average value of pixel values of pixel points of all concave points, and the value of the semaphore is obtained by subtracting the first average value from the second average value; the specific calculation method of the airspace noise of the third picture is to determine the flatness of the concave points, and the airspace noise is determined according to the flatness, wherein the higher the flatness is, the smaller the airspace noise is, the lower the flatness is, and the larger the airspace noise is.
As can be seen, in this example, the electronic device determines whether the calibration result of the first group of data is accurate through the third picture when the first group of data updates the currently stored second group of data, and updates the data only when the image quality after calibration is greater than the preset quality threshold, which is beneficial to further ensuring the accuracy of self-calibration.
In one possible example, after updating the currently stored second set of data with the first set of data, the method further comprises:
when detecting a fingerprint to-be-unlocked event, acquiring a second reference fingerprint image of the user through the first exposure time;
processing the second reference fingerprint image through the first reference picture to obtain a second target fingerprint image;
and unlocking the fingerprint to-be-unlocked event through the second target fingerprint image.
Therefore, in this example, after the electronic device updates the pre-stored second group of data and the fingerprint is to be unlocked, the acquired second reference fingerprint image is calibrated through the first group of data, which is favorable for improving the success rate of the fingerprint unlocking event.
Referring to fig. 3, fig. 3 is a schematic flow chart of a data self-calibration method provided by an embodiment of the present application, and is applied to the electronic device shown in fig. 1, where the electronic device includes a display screen and an underscreen fingerprint module set in a preset area of the display screen, as shown in the figure, the data self-calibration method includes:
s301, in a preset time period, the electronic equipment detects that the number of times of failure of executing preset operation by the electronic equipment is larger than a preset number threshold.
Wherein the preset operation is: when detecting that a fingerprint is to be unlocked, acquiring a first reference fingerprint image of a user through the second exposure time, processing the first reference fingerprint image through the second reference picture to acquire a first target fingerprint image, and detecting whether the first target fingerprint image is matched with a preset fingerprint template, wherein the detection that the electronic equipment fails to execute the preset operation is that the first target fingerprint image is not matched with the preset fingerprint template.
S302, when the electronic device determines that the type of the preset operation failure is a preset type, detecting the touch operation event of the user for the preset area.
S303, when the touch operation event of the user for the preset area is detected, the electronic equipment collects at least one first picture of the preset area.
S304, when the electronic equipment detects that the touch operation event is finished, acquiring a second picture of the preset area.
S305, the electronic equipment determines a first exposure time according to the at least one first picture.
S306, the electronic equipment takes the second picture as a first reference picture.
S307, the electronic equipment acquires a third picture through the first exposure time.
And S308, the electronic equipment processes the third picture through the first reference picture.
S309, the electronic equipment detects that the image quality of the processed third picture is larger than a preset quality threshold according to the ratio of the signal quantity of the processed third picture to the spatial noise.
S310, the electronic equipment updates the second set of data with the first set of data, and the first set of data comprises the first exposure time and the first reference picture.
It can be seen that, in the embodiment of the present application, when a touch operation event of a user for the preset area is detected, the electronic device acquires at least one first picture of the preset area, and when the touch operation event is detected to end, acquires a second picture of the preset area, then determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture, and finally updates a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture. Therefore, the electronic equipment can determine a first group of data to be used according to the first pictures and the second pictures collected by the nodes at different times in the process of using by a user at any time, a production line fixture is not needed, convenience and flexibility of data self-calibration are improved, and the effectiveness of a subsequently acquired fingerprint image is improved by updating the currently stored second group of data through the first group of data.
In addition, when the electronic equipment detects the number of times of failure of the preset operation, the electronic equipment actively detects the touch operation event to perform a self-calibration process, so that the timeliness of self-calibration is improved, and self-calibration is performed when the failure type is judged to be the preset type, so that the self-calibration misoperation condition is avoided.
In addition, the electronic device determines whether the calibration result of the first group of data is accurate or not through the third picture when the first group of data updates the currently stored second group of data, and updates the data only when the image quality after calibration is greater than the preset quality threshold, which is beneficial to further guaranteeing the accuracy of self calibration.
Referring to fig. 4, fig. 4 is a schematic flow chart of a data self-calibration method provided by an embodiment of the present application, and is applied to the electronic device shown in fig. 1, where the electronic device includes an underscreen fingerprint module set in a predetermined area of a display screen, as shown in the figure, the data self-calibration method includes:
s401, when a touch operation event of a user for the preset area is detected, the electronic equipment collects at least one first picture of the preset area.
S402, when the electronic equipment detects that the touch operation event is finished, the intensity of the ambient light is acquired.
S403, when the intensity of the ambient light is smaller than a preset intensity threshold value, the electronic device collects a second picture of the preset area.
S404, the electronic equipment obtains a first pixel value of each first pixel point of at least one preset area in each first picture.
S405, the electronic device determines a pixel average value of the at least one preset region in each first picture according to the first pixel value of each first pixel point.
S406, the electronic equipment calculates the difference value between the pixel average value and a preset average value of each first picture.
S407, the electronic device determines a target picture in the at least one first picture that the difference is less than or equal to a preset difference threshold.
S408, the exposure time when the electronic equipment acquires the target picture is the first exposure time.
S409, the electronic equipment takes the second picture as a first reference picture.
S410, the electronic equipment updates the second set of data with a first set of data, wherein the first set of data comprises the first exposure time and the first reference picture.
It can be seen that, in the embodiment of the present application, when a touch operation event of a user for the preset area is detected, the electronic device acquires at least one first picture of the preset area, and when the touch operation event is detected to end, acquires a second picture of the preset area, then determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture, and finally updates a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture. Therefore, the electronic equipment can determine a first group of data to be used according to the first pictures and the second pictures collected by the nodes at different times in the process of using by a user at any time, a production line fixture is not needed, convenience and flexibility of data self-calibration are improved, and the effectiveness of a subsequently acquired fingerprint image is improved by updating the currently stored second group of data through the first group of data.
In addition, the electronic equipment determines the target picture according to the pixel average value of at least one preset area in each first picture, and then determines the corresponding first exposure time, so that the accuracy of determining the first exposure time is improved.
In addition, the electronic device acquires the intensity of the ambient light before acquiring the second picture when detecting that the touch operation event is finished, and acquires the ambient light when the intensity of the ambient light is smaller than a preset intensity threshold value, so that the influence of the ambient light on the calibration data is favorably reduced, and the accuracy of noise in the second picture is improved.
Consistent with the embodiments shown in fig. 2, 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, the electronic device including a display screen and an underscreen fingerprint module set in a preset area of the display screen, as shown in the figure, the electronic device 500 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:
when a touch operation event of a user for the preset area is detected, acquiring at least one first picture of the preset area;
when the touch operation event is detected to be finished, acquiring a second picture of the preset area;
determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture;
updating a second set of data currently stored with the first set of data, the second set of data including a second exposure time and a second reference picture.
It can be seen that, in the embodiment of the present application, when a touch operation event of a user for the preset area is detected, the electronic device acquires at least one first picture of the preset area, and when the touch operation event is detected to end, acquires a second picture of the preset area, then determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture, and finally updates a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture. Therefore, the electronic equipment can determine a first group of data to be used according to the first pictures and the second pictures collected by the nodes at different times in the process of using by a user at any time, a production line fixture is not needed, convenience and flexibility of data self-calibration are improved, and the effectiveness of a subsequently acquired fingerprint image is improved by updating the currently stored second group of data through the first group of data.
In one possible example, the one or more programs 521 further include instructions for performing the steps of: when the touch operation event of the user aiming at the preset area is detected to start, before the first picture of the preset area is collected, in a preset time period, the number of times of failure of executing the preset operation by the electronic equipment is detected to be greater than a preset number threshold, wherein the preset operation is as follows: when a fingerprint to-be-unlocked event is detected, acquiring a first reference fingerprint image of a user through the second exposure time, processing the first reference fingerprint image through the second reference picture to acquire a first target fingerprint image, and detecting whether the first target fingerprint image is matched with a preset fingerprint template, wherein the detection that the electronic equipment fails to execute a preset operation is that the first target fingerprint image is not matched with the preset fingerprint template; and when the type of the preset operation failure is determined to be a preset type, detecting the touch operation event of the user aiming at the preset area.
In one possible example, in said determining the first set of data from said at least one first picture and said second picture, the instructions in said program 521 are specifically configured to perform the following operations: determining the first exposure time according to the at least one first picture; and means for taking the second picture as the first reference picture.
In this possible example, in said determining of said first exposure time from said at least one first picture, the instructions in said program 521 are specifically configured to: acquiring a first pixel value of each first pixel point of at least one preset area in each first picture; and determining a pixel average value of the at least one preset region in each first picture according to the first pixel value of each first pixel point; the difference value of the pixel average value of each first picture and a preset average value is calculated; and a target picture in the at least one first picture for determining that the difference is less than or equal to a preset difference threshold; and the exposure time for acquiring the target picture is the first exposure time.
In one possible example, in terms of capturing the second picture of the preset area when the touch operation event is detected to end, the instructions in the program 521 are specifically configured to perform the following operations: when the touch operation event is detected to be finished, acquiring the intensity of ambient light; and the second picture of the preset area is acquired when the intensity of the ambient light is smaller than a preset intensity threshold value.
In one possible example, the one or more programs 521 further include instructions for performing the steps of: after determining a first set of data according to the at least one first picture and the second picture and before updating a currently stored second set of data with the first set of data, acquiring a third picture through the first exposure time; and processing the third picture with the first reference picture; and detecting that the image quality of the processed third picture is greater than a preset quality threshold according to the ratio of the signal quantity of the processed third picture to the spatial noise.
In one possible example, the one or more programs 521 further include instructions for performing the steps of: after the second group of data stored currently is updated by the first group of data, when a fingerprint to-be-unlocked event is detected, acquiring a second reference fingerprint image of the user through the first exposure time; processing the second reference fingerprint image through the first reference picture to acquire a second target fingerprint image; and unlocking the fingerprint to-be-unlocked event through the second target fingerprint image.
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 data self-calibration apparatus 600 according to an embodiment of the present application. The data self-calibration device 600 is applied to an electronic device, the electronic device comprises a display screen and an under-screen fingerprint module set arranged in a preset area of the display screen, the data self-calibration device 600 comprises a processing unit 601 and a communication unit 602, wherein:
the processing unit 601 is configured to, when a touch operation event of a user for the preset area is detected, acquire at least one first picture of the preset area through the communication unit 602; when the touch operation event is detected to be finished, acquiring a second picture of the preset area through the communication unit 602; determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture; updating a second set of data currently stored with the first set of data, the second set of data including a second exposure time and a second reference picture.
The data self-calibration apparatus 600 may further include a storage unit 603 for storing program codes and data of the electronic device. The processing unit 601 may be a processor, the communication unit 602 may be a touch display screen or a transceiver, and the storage unit 603 may be a memory.
It can be seen that, in the embodiment of the present application, when a touch operation event of a user for the preset area is detected, the electronic device acquires at least one first picture of the preset area, and when the touch operation event is detected to end, acquires a second picture of the preset area, then determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture, and finally updates a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture. Therefore, the electronic equipment can determine a first group of data to be used according to the first pictures and the second pictures collected by the nodes at different times in the process of using by a user at any time, a production line fixture is not needed, convenience and flexibility of data self-calibration are improved, and the effectiveness of a subsequently acquired fingerprint image is improved by updating the currently stored second group of data through the first group of data.
In one possible example, before the capturing of the first picture of the preset area through the communication unit 602 when the touch operation event of the user for the preset area is detected to start, the processing unit 601 is further configured to: in a preset time period, detecting that the number of times of failure of executing a preset operation by the electronic equipment is greater than a preset number threshold, wherein the preset operation is as follows: when a fingerprint to-be-unlocked event is detected, acquiring a first reference fingerprint image of a user through the second exposure time, processing the first reference fingerprint image through the second reference picture to acquire a first target fingerprint image, and detecting whether the first target fingerprint image is matched with a preset fingerprint template, wherein the detection that the electronic equipment fails to execute a preset operation is that the first target fingerprint image is not matched with the preset fingerprint template; and when the type of the preset operation failure is determined to be a preset type, detecting the touch operation event of the user aiming at the preset area.
In one possible example, in the aspect of determining the first set of data according to the at least one first picture and the second picture, the processing unit 601 is specifically configured to: determining the first exposure time according to the at least one first picture; and means for taking the second picture as the first reference picture.
In this possible example, in said determining the first exposure time from the at least one first picture, the processing unit 601 is specifically configured to: acquiring a first pixel value of each first pixel point of at least one preset area in each first picture; and determining a pixel average value of the at least one preset region in each first picture according to the first pixel value of each first pixel point; the difference value of the pixel average value of each first picture and a preset average value is calculated; and a target picture in the at least one first picture for determining that the difference is less than or equal to a preset difference threshold; and the exposure time for acquiring the target picture is the first exposure time.
In a possible example, in terms of capturing a second picture of the preset area when the touch operation event is detected to end, the processing unit 601 is specifically configured to: when the touch operation event is detected to be finished, acquiring the intensity of ambient light; and the second picture of the preset area is acquired when the intensity of the ambient light is smaller than a preset intensity threshold value.
In one possible example, after the determining the first set of data from the at least one first picture and the second picture, and before the updating the currently stored second set of data with the first set of data, the processing unit 601 is further configured to: acquiring a third picture through the communication unit 602 and the first exposure time; and processing the third picture with the first reference picture; and detecting that the image quality of the processed third picture is greater than a preset quality threshold according to the ratio of the signal quantity of the processed third picture to the spatial noise.
In one possible example, after the updating of the currently stored second set of data with the first set of data, the processing unit 601 is further configured to: when detecting a fingerprint to-be-unlocked event, acquiring a second reference fingerprint image of the user through the communication unit 602 and the first exposure time; processing the second reference fingerprint image through the first reference picture to acquire a second target fingerprint image; and unlocking the fingerprint to-be-unlocked event through the second target fingerprint image.
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 (9)
1. A data self-calibration method is applied to electronic equipment, wherein the electronic equipment comprises a display screen and an under-screen fingerprint module set corresponding to a preset area of the display screen, and the method comprises the following steps:
in a preset time period, detecting that the number of times of failure of executing a preset operation by the electronic equipment is greater than a preset number threshold, wherein the preset operation is as follows: when a fingerprint to-be-unlocked event is detected, acquiring a first reference fingerprint image of a user through a second exposure time, processing the first reference fingerprint image through a second reference picture to acquire a first target fingerprint image, and detecting whether the first target fingerprint image is matched with a preset fingerprint template, wherein the detection that the electronic equipment fails to execute the preset operation is that the first target fingerprint image is not matched with the preset fingerprint template; when the type of the preset operation failure is determined to be a preset type, detecting a touch operation event of a user aiming at the preset area;
when a touch operation event of a user for the preset area is detected, acquiring at least one first picture of the preset area; the at least one first picture comprises screen pictures of a preset area which are collected before the touch operation event starts to ends and comprise user fingerprint images, and the exposure time of the first pictures is different;
when the touch operation event is detected to be finished, acquiring a second picture of the preset area; the second picture is a screen picture;
determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture;
updating a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture, and the second exposure time and the second reference picture are the exposure time and the reference picture stored in the electronic device before self-calibration of this time.
2. The method of claim 1, wherein determining the first set of data from the at least one first picture and the second picture comprises:
determining the first exposure time according to the at least one first picture;
and taking the second picture as the first reference picture.
3. The method of claim 2, wherein determining the first exposure time from the at least one first picture comprises:
acquiring a first pixel value of each first pixel point of at least one preset area in each first picture;
determining the pixel average value of the at least one preset area in each first picture according to the first pixel value of each first pixel point;
calculating the difference value between the pixel average value and a preset average value of each first picture;
determining a target picture in the at least one first picture of which the difference value is less than or equal to a preset difference value threshold;
and acquiring the exposure time when the target picture is acquired as the first exposure time.
4. The method according to claim 2, wherein the capturing the second picture of the preset area when detecting that the touch operation event is finished comprises:
when the touch operation event is detected to be finished, acquiring the intensity of ambient light;
and when the intensity of the ambient light is smaller than a preset intensity threshold value, acquiring the second picture of the preset area.
5. The method according to any of claims 1-4, wherein after determining a first set of data from the at least one first picture and the second picture, and before updating a currently stored second set of data with the first set of data, the method further comprises:
acquiring a third picture through the first exposure time;
processing the third picture by the first reference picture;
and detecting that the image quality of the processed third picture is greater than a preset quality threshold according to the ratio of the signal quantity of the processed third picture to the spatial noise.
6. The method of any of claims 1-4, wherein after updating the currently stored second set of data with the first set of data, the method further comprises:
when detecting a fingerprint to-be-unlocked event, acquiring a second reference fingerprint image of the user through the first exposure time;
processing the second reference fingerprint image through the first reference picture to obtain a second target fingerprint image;
and unlocking the fingerprint to-be-unlocked event through the second target fingerprint image.
7. A data self-calibration device is applied to electronic equipment, the electronic equipment comprises a display screen and an under-screen fingerprint module set corresponding to a preset area of the display screen, the data self-calibration device comprises a processing unit and a communication unit, wherein,
the processing unit is used for acquiring at least one first picture of the preset area through the communication unit when a touch operation event of a user for the preset area is detected; the at least one first picture comprises screen pictures of a preset area which are collected before the touch operation event starts to ends and comprise user fingerprint images, and the exposure time of the first pictures is different; when the touch operation event is detected to be finished, acquiring a second picture of the preset area through the communication unit; the second picture is a screen picture; determining a first set of data from the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture; updating a second set of data currently stored with the first set of data, where the second set of data includes a second exposure time and a second reference picture, and the second exposure time and the second reference picture are the exposure time and the reference picture stored in the electronic device before self-calibration of this time.
8. 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 1-6.
9. 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 1-6.
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| PCT/CN2020/071801 WO2020168858A1 (en) | 2019-02-20 | 2020-01-13 | Data self-calibration method and related apparatus |
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| CN109901754B (en) * | 2019-02-20 | 2021-04-13 | Oppo广东移动通信有限公司 | Data self-calibration method and related device |
| CN111400686B (en) * | 2020-03-05 | 2023-06-09 | Oppo广东移动通信有限公司 | Fingerprint identification method and device, electronic equipment and storage medium |
| CN113065487B (en) * | 2021-04-09 | 2023-01-31 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method and device and electronic equipment |
| EP4092567A4 (en) * | 2021-04-09 | 2023-05-03 | Shenzhen Goodix Technology Co., Ltd. | Fingerprint recognition method and apparatus, and electronic device |
| CN116311396B (en) * | 2022-08-18 | 2023-12-12 | 荣耀终端有限公司 | Method and device for fingerprint identification |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1622117A (en) * | 2003-11-26 | 2005-06-01 | 佳能株式会社 | Signal processor and controlling method |
| CN102004903A (en) * | 2010-11-17 | 2011-04-06 | 深圳市中控生物识别技术有限公司 | Anti-counterfeiting fingerprint identification device and fingerprint identification method |
| CN103198289A (en) * | 2012-01-04 | 2013-07-10 | 金佶科技股份有限公司 | Dual-lens fingerprint identification method and device thereof |
| CN105243382A (en) * | 2015-10-19 | 2016-01-13 | 广东欧珀移动通信有限公司 | Fingerprint sensor calibration method and apparatus |
| CN107690653A (en) * | 2017-08-18 | 2018-02-13 | 深圳市汇顶科技股份有限公司 | Obtain the method, apparatus and terminal device of fingerprint image |
| CN108270975A (en) * | 2016-12-30 | 2018-07-10 | 曦威科技股份有限公司 | The time for exposure determining method of image sensing |
| WO2018141119A1 (en) * | 2017-02-03 | 2018-08-09 | 华为技术有限公司 | Fingerprint acquisition method, apparatus, and terminal |
| CN108496181A (en) * | 2016-01-29 | 2018-09-04 | 辛纳普蒂克斯公司 | It is obtained using touch screen to initiate fingerprint |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4374759B2 (en) * | 2000-10-13 | 2009-12-02 | オムロン株式会社 | Image comparison system and image comparison apparatus |
| CN104184958B (en) * | 2014-09-17 | 2017-07-11 | 中国科学院光电技术研究所 | A kind of automatic exposure control method and its device based on FPGA suitable for space exploration imaging |
| CN106203365B (en) * | 2016-07-14 | 2019-02-12 | 浙江赢视科技有限公司 | The fingerprint imaging method of gain adjustment processing |
| CN106650614B (en) * | 2016-11-07 | 2020-05-22 | 普道(上海)信息科技有限公司 | Dynamic calibration method and device |
| US10417476B2 (en) * | 2016-12-30 | 2019-09-17 | Eosmem Corporation | Exposure time determination method for image sensing operation |
| CN107223256B (en) * | 2017-04-21 | 2019-03-29 | 深圳市汇顶科技股份有限公司 | Detection method, biometric devices and the electric terminal of biological attribute data |
| EP3444746A1 (en) * | 2017-07-05 | 2019-02-20 | Shenzhen Goodix Technology Co., Ltd. | Method, device, chip and terminal device for fingerprint collection |
| CN107392145A (en) * | 2017-07-20 | 2017-11-24 | 维沃移动通信有限公司 | A kind of fingerprint identification method, terminal and computer-readable recording medium |
| CN109901754B (en) * | 2019-02-20 | 2021-04-13 | Oppo广东移动通信有限公司 | Data self-calibration method and related device |
-
2019
- 2019-02-20 CN CN201910126854.7A patent/CN109901754B/en active Active
-
2020
- 2020-01-13 WO PCT/CN2020/071801 patent/WO2020168858A1/en active Application Filing
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1622117A (en) * | 2003-11-26 | 2005-06-01 | 佳能株式会社 | Signal processor and controlling method |
| CN102004903A (en) * | 2010-11-17 | 2011-04-06 | 深圳市中控生物识别技术有限公司 | Anti-counterfeiting fingerprint identification device and fingerprint identification method |
| CN103198289A (en) * | 2012-01-04 | 2013-07-10 | 金佶科技股份有限公司 | Dual-lens fingerprint identification method and device thereof |
| CN105243382A (en) * | 2015-10-19 | 2016-01-13 | 广东欧珀移动通信有限公司 | Fingerprint sensor calibration method and apparatus |
| CN108496181A (en) * | 2016-01-29 | 2018-09-04 | 辛纳普蒂克斯公司 | It is obtained using touch screen to initiate fingerprint |
| CN108270975A (en) * | 2016-12-30 | 2018-07-10 | 曦威科技股份有限公司 | The time for exposure determining method of image sensing |
| WO2018141119A1 (en) * | 2017-02-03 | 2018-08-09 | 华为技术有限公司 | Fingerprint acquisition method, apparatus, and terminal |
| CN107690653A (en) * | 2017-08-18 | 2018-02-13 | 深圳市汇顶科技股份有限公司 | Obtain the method, apparatus and terminal device of fingerprint image |
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| Publication number | Publication date |
|---|---|
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