CN110298274B - Optical fingerprint parameter upgrading method and related product - Google Patents
Optical fingerprint parameter upgrading method and related product Download PDFInfo
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- CN110298274B CN110298274B CN201910528811.1A CN201910528811A CN110298274B CN 110298274 B CN110298274 B CN 110298274B CN 201910528811 A CN201910528811 A CN 201910528811A CN 110298274 B CN110298274 B CN 110298274B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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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
Abstract
The embodiment of the application discloses an optical fingerprint parameter upgrading method and a related product, which are applied to electronic equipment, wherein the electronic equipment comprises: an optical fingerprint module; the method comprises the following steps: when the version updating is started, acquiring a first exposure parameter and a first template image of the optical fingerprint module with the updated version; carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image; collecting a third optical fingerprint image; performing exposure compensation on the third optical fingerprint image by adopting a first exposure parameter to obtain a fourth image; and verifying the second image and the fourth image to obtain a verification result, and updating the exposure parameters of the optical fingerprint module according to the verification result. The technical scheme provided by the application has the advantages of improving the accuracy of optical fingerprint identification and improving the user experience.
Description
Technical Field
The application relates to the technical field of electronic equipment, in particular to an optical fingerprint parameter upgrading method and a related product.
Background
With the widespread use of electronic devices (such as mobile phones, tablet computers, and the like), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.
Fingerprint identification belongs to one kind of biological identification, along with the development of electronic technology, fingerprint identification has extensive application to the terminal field, along with the development of comprehensive screen technique, fingerprint identification is changed into optical fingerprint identification scheme. The existing terminal can upgrade and update the software of the terminal within a period of time, the upgrading and updating are not carried out on the parameters of the optical fingerprint module, so that the parameters of the optical fingerprint module are not matched with the use environment or habit of a user, the fingerprint identification precision is influenced, and the user experience degree is reduced.
Disclosure of Invention
The embodiment of the application provides an optical fingerprint parameter upgrading method and a related product, which can realize the updating of the parameters of an optical fingerprint module, improve the accuracy of fingerprint identification and improve the user experience.
In a first aspect, an embodiment of the present application provides an optical fingerprint parameter upgrading method, where the method includes the following steps:
when the version updating is started, acquiring a first exposure parameter and a first template image of the optical fingerprint module with the updated version;
carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image; collecting a third optical fingerprint image;
performing exposure compensation on the third optical fingerprint image by adopting a first exposure parameter to obtain a fourth image; and verifying the second image and the fourth image to obtain a verification result, and updating the exposure parameters of the optical fingerprint module according to the verification result.
In a second aspect, an optical fingerprint parameter upgrading apparatus is provided, the apparatus comprising:
the communication module is used for acquiring a first exposure parameter and a first template image when version updating is started;
the compensation unit is used for carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image;
the acquisition unit is used for acquiring a third optical fingerprint image;
the compensation unit is further configured to perform exposure compensation on the third optical fingerprint image by using a first exposure parameter to obtain a fourth image;
the verification unit is used for verifying the second image and the fourth image to obtain a verification result;
and the updating unit is used for updating the exposure parameters of the optical fingerprint module according to the verification 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 the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of 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 enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in 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, according to the technical scheme provided by the application, when the version is updated, the first exposure parameter of the version update is obtained, then the first template image is subjected to exposure compensation according to the first exposure parameter to obtain a compensation image, then the actually acquired optical fingerprint image is subjected to compensation by the first exposure parameter to obtain another compensation image, and then the updating scheme of the exposure parameter is determined according to the verification results of the two compensation images, so that when the exposure parameter is updated, the application scene of the electronic equipment can be better matched, the fingerprint identification accuracy is improved, and the user experience is 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. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a schematic flowchart of an optical fingerprint parameter upgrading method according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a verification method provided in an embodiment of the present application;
FIG. 3A is a histogram of a picture;
FIG. 3B is a histogram of a picture;
FIG. 3C is a histogram of a picture;
FIG. 3D is a histogram of a picture;
FIG. 3E is a histogram of a picture;
FIG. 4 is a schematic flowchart of another optical fingerprint parameter upgrading method provided in an embodiment of the present application;
fig. 5A is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 5B is a block diagram illustrating functional units of an optical fingerprint parameter upgrading 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 devices involved in the embodiments of the present application may include various handheld devices (e.g., smart phones or tablets) with wireless communication functions, computing devices or other processing devices connected to wireless modems, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so on.
The following describes embodiments of the present application in detail.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application, the electronic device 100 includes a storage and processing circuit 110, and a sensor 170 connected to the storage and processing circuit 110, where the sensor 170 may include a camera, a distance sensor, a gravity sensor, and the like, where:
the electronic device 100 may include control circuitry, which may include storage and processing circuitry 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. Processing circuitry in storage and processing circuitry 110 may be used to control the operation of electronic device 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.
The storage and processing circuitry 110 may be used to run software in the electronic device 100, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as, for example, camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) display screens, operations associated with performing wireless communication functionality, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 100, to name a few.
The electronic device 100 may include input-output circuitry 150. The input-output circuit 150 may be used to enable the electronic device 100 to input and output data, i.e., to allow the electronic device 100 to receive data from an external device and also to allow the electronic device 100 to output data from the electronic device 100 to the external device. The input-output circuit 150 may further include a sensor 170. Sensor 170 vein identification module, can also include ambient light sensor, proximity sensor based on light and electric capacity, fingerprint identification module, touch sensor (for example, based on light touch sensor and/or capacitanc touch sensor, wherein, touch sensor can be touch-control display screen's partly, also can regard as a touch sensor structure independent utility), acceleration sensor, the camera, and other sensors etc. the camera can be leading camera or rear camera, the fingerprint identification module can integrate in the display screen below, be used for gathering the fingerprint image, the fingerprint identification module can be: optical fingerprint module, etc., and is not limited herein. The front camera can be arranged below the front display screen, and the rear camera can be arranged below the rear display screen. Of course, the front camera or the rear camera may not be integrated with the display screen, and certainly in practical applications, the front camera or the rear camera may also be a lifting structure.
Input-output circuit 150 may also include one or more display screens, and when multiple display screens are provided, such as 2 display screens, one display screen may be provided on the front of the electronic device and another display screen may be provided on the back of the electronic device, such as display screen 130. The display 130 may include one or a combination of liquid crystal display, organic light emitting diode display, electronic ink display, plasma display, display using other display technologies. The display screen 130 may include an array of touch sensors (i.e., the display screen 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.
The electronic device 100 may also include an audio component 140. The audio component 140 may be used to provide audio input and output functionality for the electronic device 100. The audio components 140 in the electronic device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.
The communication circuit 120 may be used to provide the electronic device 100 with the capability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in Communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.
The electronic device 100 may further include a battery, power management circuitry, and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.
A user may input commands through input-output circuitry 150 to control the operation of electronic device 100, and may use output data of input-output circuitry 150 to enable receipt of status information and other outputs from electronic device 100.
The electronic device described above with reference to fig. 1A may be configured to implement the following functions:
the communication circuit 120 is configured to obtain a first exposure parameter and a first template image of the optical fingerprint module when version updating is started;
the storage and processing circuit 110 is configured to perform exposure compensation on the first template image by using a first exposure parameter to obtain a second image;
the optical fingerprint module is used for acquiring a third optical fingerprint image;
the storage and processing circuit 110 is further configured to perform exposure compensation on the third optical fingerprint image by using the first exposure parameter to obtain a fourth image; and verifying the second image and the fourth image to obtain a verification result, and updating the exposure parameters of the optical fingerprint module according to the verification result.
In an alternative embodiment of the method according to the invention,
the storage and processing circuit 110 is specifically configured to replace an original exposure parameter of the optical fingerprint module with the first exposure parameter when the verification result indicates that both the second image and the fourth image are verified, and otherwise, not perform exposure parameter updating.
In one embodiment of the method of the present invention,
the storage and processing circuit 110 is specifically configured to process the second image to obtain a histogram of the second image, that is, a first histogram, process the fourth image to obtain a histogram of the fourth image, that is, a second histogram, and obtain peak coordinates (x1, y1) of the first histogram and peak coordinates (x2, y2) of the second histogram; if x1 and x2 are both in the set interval, the verification result is determined to be that the second image and the fourth image both pass the verification, otherwise, the verification result is determined to be that the verification is not passed.
In one embodiment of the method of the present invention,
the storage and processing circuit 110 is specifically configured to set a plurality of equidistant lines in the y-axis direction of the first histogram, find the number of intersections of the plurality of equidistant lines with the histogram, select a first equidistant line having only one number of intersections, extract coordinates (x1, y1) of the intersections of the first equidistant line with the histogram, set a plurality of equidistant lines in the y-axis direction of the second histogram, find the number of intersections of the plurality of equidistant lines with the second histogram, select a second equidistant line having only one number of intersections, and extract coordinates (x2, y2) of the intersections of the second equidistant line with the second histogram.
Referring to fig. 1B, fig. 1B is a schematic flow chart of an optical fingerprint parameter upgrading method according to an embodiment of the present disclosure, and as shown in the drawing, the method is applied to an electronic device shown in fig. 1A, where the electronic device includes an optical fingerprint module, and the optical fingerprint parameter upgrading method includes:
s101, when the electronic equipment starts to update the version, acquiring a first exposure parameter and a first template image of the optical fingerprint module;
the version update of the electronic device may specifically include a version update of an operating system of the electronic device, where the operating system may be an operating system of any electronic device, for example, an operating system of an android, an IOS, a dammon, and the like.
The first exposure parameter of the optical fingerprint module may specifically be an exposure parameter during production line calibration, and certainly, the first exposure parameter may also be an exposure update parameter carried by the optical fingerprint module during version update. Of course, the first template image may also be a template image for line calibration, and may also be a template image used by a manufacturer for verifying exposure parameters in practical applications.
S102, the electronic equipment performs exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image;
the exposure compensation in step S102 may adopt an existing exposure compensation method, and the specific implementation manner of the exposure compensation is not limited in the present application.
S103, the electronic equipment collects a third optical fingerprint image through the optical fingerprint module, and performs exposure compensation on the third optical fingerprint image by adopting a first exposure parameter to obtain a fourth image;
and step S104, the electronic equipment verifies the second image and the fourth image to obtain a verification result, and the exposure parameters of the optical fingerprint module are updated according to the verification result.
Optionally, the updating the exposure parameter of the optical fingerprint module according to the verification result may specifically include:
and if the verification result is that the second image and the fourth image are verified to be passed, replacing the original exposure parameters of the optical fingerprint module by the first exposure parameters, and otherwise, deleting the first exposure parameters.
The technical scheme that this application provides is when carrying out the version update, obtain the first exposure parameter of this version update, then carry out exposure compensation to first template image according to this first exposure parameter and obtain the compensation image, then adopt this first exposure parameter to compensate and obtain other compensation image to the optics fingerprint image of actual collection, then confirm the update scheme of this exposure parameter according to the verification result of two compensation images, when carrying out the exposure parameter update like this, the scene that the matching electronic equipment that just can be better used, and then improve fingerprint identification's accuracy, improve user experience.
The trigger condition of the electronic device start version update in step S101 may be to perform biometric verification on the user, where the biometric verification includes, but is not limited to: fingerprint recognition, palm print recognition, vein recognition, and the like.
The vein identification verification method is shown in fig. 2, and may specifically include:
b1, analyzing the characteristic point distribution of the target vein area image in the vein picture;
b2, performing circular image interception on the target vein area image according to M different circle centers to obtain M circular vein area images, wherein M is an integer larger than 3;
b3, selecting a target circular vein area image from the M circular vein area images, wherein the target circular vein area image comprises a larger number of feature points than other circular vein area images in the M circular vein area images;
b4, dividing the target circular vein area image to obtain N circular rings, wherein the widths of the N circular rings are the same;
b5, starting from the circular ring with the smallest radius in the N circular rings, sequentially matching the N circular rings with the preset vein template for feature points, and accumulating the matching values of the matched circular rings;
and B6, immediately stopping the characteristic point matching when the accumulated matching value is larger than the preset matching threshold value, and starting the version updating.
The step S104 of verifying the second image and the fourth image to obtain a verification result may specifically include:
processing the second image to obtain a histogram of the second image, namely a first histogram, processing the fourth image to obtain a histogram of the fourth image, namely a second histogram, and acquiring peak coordinates (x1, y1) of the first histogram and peak coordinates (x2, y2) of the second histogram; if x1 and x2 are both in the set interval, the verification result is determined to be that the second image and the fourth image both pass the verification, otherwise, the verification result is determined to be that the verification is not passed.
Referring to fig. 3A, fig. 3A is a histogram of a picture, as shown in fig. 3A, fig. 3A is a schematic diagram of a histogram of a picture, as shown in fig. 3A, a peak of the histogram is located at a position almost in the middle of an x coordinate of the histogram, and as shown in fig. 3A, the histogram shows that the image has a better effect and a better quality.
Referring to fig. 3B, fig. 3B is a histogram of a picture, as shown in fig. 3B, and fig. 3B is a histogram diagram of a picture, as shown in fig. 3B, in which the peak of the histogram is located almost at the left edge of the x-coordinate of the histogram, and as shown in fig. 3B, the histogram represents that the image is severely underexposed and has poor quality.
Referring to fig. 3C, fig. 3C is a histogram of a picture, as shown in fig. 3C, and fig. 3C is a histogram diagram of a picture, as shown in fig. 3C, the peak of the histogram is located almost at the left side of the x coordinate of the histogram, and as shown in fig. 3C, the histogram indicates that the image is underexposed and has poor quality.
Referring to fig. 3D, fig. 3D is a histogram of a picture, as shown in fig. 3D, and fig. 3D is a histogram diagram of a picture, as shown in fig. 3D, in which the peak of the histogram is located almost at the right edge of the x-coordinate of the histogram, and the histogram shown in fig. 3D indicates that the image is severely over-exposed and has poor quality.
Referring to fig. 3E, fig. 3E is a histogram of a picture, as shown in fig. 3E, and fig. 3E is a histogram diagram of a picture, as shown in fig. 3E, in which the peak of the histogram is located almost at the right side of the x coordinate of the histogram, and as shown in fig. 3E, the histogram indicates that the image is over-exposed and has poor quality.
As can be seen from the analysis of fig. 3A, 3B, 3C, 3D, and 3E, only when the x-coordinate of the peak value of the histogram of the image is in a set interval (for example, the middle interval), the image quality is good, and it can be verified that the adjustment is necessary for the recognition that neither overexposure nor underexposure can support the image.
Optionally, the implementation method for obtaining the peak coordinate (x1, y1) of the first histogram may specifically include:
setting a plurality of equidistant lines in the y-axis direction of the first histogram, searching the number of intersections of the plurality of equidistant lines and the histogram, selecting a first equidistant line with one intersection number, and extracting the coordinates (x1, y1) of one intersection of the first equidistant line and the histogram.
Optionally, after step S104, the method may further include:
matching the target identity information with preset identity information according to the fourth image, which specifically includes the following steps:
c1, performing feature extraction on the fingerprint image contained in the fourth image to obtain a first feature point set;
c2, determining the effective area of the fingerprint image, wherein the effective area of the fingerprint is the area of the fingerprint only including fingerprint grains;
c3, determining the distribution density of the target characteristic points of the fingerprint image according to the first characteristic point set and the fingerprint effective area;
c4, performing feature extraction on the preset fingerprint template to obtain a second feature point set;
c5, determining a target fingerprint identification threshold corresponding to the target feature point distribution density according to the preset mapping relation between the feature point distribution density and the fingerprint identification threshold;
c6, determining a matching value between the first characteristic point set and the second characteristic point set;
and C7, when the matching value is larger than the target fingerprint identification threshold value, confirming that the target identity information is successfully matched with the preset identity information.
Wherein, above-mentioned fingerprint effective area is the fingerprint area that only includes the fingerprint line, and at actual fingerprint collection in-process, fingerprint image still can include background image, but background image does not include the fingerprint line, consequently, can tailor this part, and fingerprint effective area presses the fingerprint identification module for the user and generates the region of fingerprint line in the fingerprint image. The electronic device may perform feature point extraction on the fingerprint image to obtain a first feature point set, where the first feature point set may include a plurality of feature points, and a main algorithm of the feature extraction may be at least one of: a Harris corner detection algorithm, a Scale Invariant Feature Transform (SIFT), a SURF algorithm, etc., which are not limited herein, and similarly, the electronic device may also perform feature extraction on a preset fingerprint template to obtain a second feature point set, where the second feature point set may also include a plurality of feature points, and further may determine a target feature point distribution density of the fingerprint image according to the first feature point set and the fingerprint effective area, where the target feature point distribution density is the total number of feature points/the fingerprint effective area of the first feature point set, and the electronic device may prestore a mapping relationship between the preset feature point distribution density and a fingerprint identification threshold, and further may determine a target fingerprint identification threshold corresponding to the target feature point distribution density according to the mapping relationship, determine a matching value between the first feature point set and the second feature point set, and if the matching value is greater than the target fingerprint identification threshold, if the matching of the target identity information and the preset identity information is successful, otherwise, the matching of the target identity information and the preset identity information is failed, so that the identification threshold value can be properly adjusted according to the pressing condition of the user, and the identity authentication efficiency is favorably improved.
Optionally, after step S104, the method may further include:
matching the target identity information with preset identity information according to the fourth image may include the following steps:
b21, acquiring a target environment parameter corresponding to the fourth image;
b22, determining an optical fingerprint identification threshold corresponding to the target environment parameter according to a mapping relation between a preset environment parameter and the optical fingerprint identification threshold;
b23, dividing the fourth image into a plurality of fingerprint areas according to a preset mode, wherein the area of each fingerprint area is equal;
b24, performing image quality evaluation on the plurality of fingerprint areas to obtain a plurality of image quality evaluation values;
the image quality evaluation value may be obtained by a histogram method, but may be obtained by other methods in practical applications.
B25, selecting an image quality evaluation value larger than a preset quality evaluation value from the plurality of image quality evaluation values to obtain at least one target image quality evaluation value;
b26, acquiring at least one first target fingerprint area corresponding to the at least one target image quality evaluation value from the plurality of fingerprint areas;
b27, acquiring at least one second target fingerprint area corresponding to the at least one first target fingerprint area from the preset fingerprint template;
b28, matching the at least one first target fingerprint area with the at least one second target fingerprint area to obtain at least one matching value;
b29, when each matching value in the at least one matching value is larger than the optical fingerprint identification threshold value, confirming that the target identity information is successfully matched with the preset identity information.
Wherein, the environmental parameter may be at least one of the following: ambient brightness, ambient color temperature, humidity, temperature, geographical location, environmental background, etc. do not limit here, and in concrete implementation, electronic equipment may be provided with an environmental sensor, can gather environmental parameter based on environmental sensor, and environmental sensor may be at least one of following: an ambient light sensor, a color temperature sensor, a humidity sensor, a position sensor, an image sensor, and the like, without limitation. The preset quality evaluation value may be stored in the electronic device in advance, and may be set by the user or default by the system. The electronic device may also pre-store a mapping relationship between a preset environmental parameter and an optical fingerprint identification threshold. The preset pattern may be a nine-square grid, a four-square grid, a sixteen-square grid, or the like, which is not limited herein. In a specific implementation, at least one image quality evaluation index may be used to perform image quality evaluation on the fingerprint area, where the image quality evaluation index may be: mean square error, information entropy, number of feature points, sharpness, gray value, etc., and are not limited herein.
In specific implementation, the electronic device may obtain a target environment parameter corresponding to the fingerprint image through the environment sensor, and based on a pre-stored mapping relationship between a preset environment parameter and a fingerprint identification threshold. The optical fingerprint identification threshold corresponding to the target environment parameter can be determined, and further, the face image can be divided into a plurality of fingerprint regions according to a preset mode, the area size of each fingerprint region can be equal, and the image quality of each fingerprint region may be different due to different acquisition conditions of each fingerprint region, so that the image quality evaluation can be performed on the plurality of fingerprint regions to obtain a plurality of image quality evaluation values, an image quality evaluation value larger than the preset quality evaluation value is selected from the plurality of image quality evaluation values to obtain at least one target image quality evaluation value, at least one first target fingerprint region corresponding to the at least one target image quality evaluation value is obtained from the plurality of fingerprint regions, so that at least one good-quality fingerprint region can be obtained, and of course, the preset fingerprint template can also be divided based on the preset mode, that is, the fingerprint image and the preset fingerprint template are divided based on the same manner, specifically, for example, the fingerprint image and the preset fingerprint template are aligned, such as: the center of gravity (centroid or geometric center) can be aligned, then the fingerprint image is further divided into the preset fingerprint template, and on the basis, at least one second target fingerprint area corresponding to at least one first target fingerprint area can be obtained from the preset fingerprint template, and each first target fingerprint area corresponds to a unique second target fingerprint area.
Further, at least one first target fingerprint area is matched with at least one second target fingerprint area to obtain at least one matching value, namely, each first target fingerprint area is matched with the corresponding second target fingerprint area, when each matching value in the at least one matching value is larger than the optical fingerprint identification threshold value, the target identity information is successfully matched with the preset identity information, otherwise, when each matching value in the at least one matching value is smaller than or equal to the optical fingerprint identification threshold value, the identity authentication fails, so that on one hand, when fingerprint identification is carried out, dynamic adjustment of the optical fingerprint identification threshold value can be realized according to local conditions, on the other hand, a plurality of areas of the fingerprint can be selected for fingerprint identification, and fingerprint identification accuracy is improved.
Referring to fig. 4, fig. 4 provides an optical fingerprint parameter upgrading method, which is executed by an electronic device, and the method is shown in fig. 4, and includes the following steps:
after the electronic equipment is delivered, the electronic equipment carries out identity identification verification on the user, and when the user passes the verification, version updating is executed;
the identification verification can be determined by vein identification, and specific schemes can include:
a11, acquiring target physiological characteristic parameters of a target object;
a12, determining a target mapping relation set corresponding to the target physiological characteristic parameter according to the corresponding relation between preset physiological characteristic parameters and the mapping relation set, wherein the mapping relation set comprises a plurality of mapping relations, and each mapping relation is the mapping relation between a vein acquisition part and a vein acquisition parameter;
a13, determining a target vein collection part of the target object;
a14, determining the first vein acquisition parameter corresponding to the target vein acquisition part according to the target mapping relation set;
and A15, performing identification verification on the first vein acquisition parameters.
In the embodiment of the present application, the target object may be a human or other animals. The physiological characteristic parameter may be one of: age, height, weight, fat rate, blood type, medical history, occupation, sex, race, blood pressure, blood fat, etc., without limitation. Different people have different body conditions and different vein acquisition parameters, and certainly, the same person has different vein acquisition parameters due to the difference between body parts. The electronic device may pre-store a corresponding relationship between a preset physiological characteristic parameter and a mapping relationship set, where the mapping relationship set includes a plurality of mapping relationships, and each mapping relationship is a mapping relationship between a vein collection portion and a vein collection parameter. In a specific implementation, the electronic device may obtain a target physiological characteristic parameter of a target object, further determine a target mapping relationship set corresponding to the target physiological characteristic parameter according to a corresponding relationship between a preset physiological characteristic parameter and the mapping relationship set, determine a target vein collection portion of the target object, and identify the target vein collection portion by an image identification method, for example, collect a vein image and input the vein image into a preset neural network model, so as to obtain a collection portion corresponding to the vein image, since veins of each portion of a human body have a certain similarity in general, the corresponding portion may be identified by the vein image through the preset neural network model prepared in advance, of course, the collection portion may also be input by a user, the preset neural network model may be defaulted by a system, and further, according to the target mapping relationship set, the first vein acquisition parameter corresponding to the target vein acquisition part can be determined, so that reasonable vein acquisition parameters can be selected according to the physiological condition and the acquisition part of the user, and the vein image acquisition efficiency is improved.
The electronic equipment reads the exposure parameters of the optical fingerprint module in the version update;
the electronic equipment reads a standard production line picture in the version update;
the electronic equipment carries out exposure compensation on the standard production line picture according to the exposure parameters to obtain a first image;
the electronic equipment verifies the first image to determine whether the first image is qualified; if the exposure parameters are qualified, the following steps are executed, and if the exposure parameters are unqualified, the exposure parameters are updated.
The specific implementation mode can include: processing the first image to obtain a histogram of the first image, namely a first histogram, and acquiring peak coordinates (x1, y1) of the first histogram; if x1 is in the set interval, determining the verification result as verification pass, otherwise, determining the verification result as verification fail.
The electronic equipment acquires a second image through the optical fingerprint identification module and by adopting the exposure parameter;
the electronic equipment verifies the second image to determine whether the second image is qualified, if the second image is qualified, the following steps are carried out, and if the second image is not qualified, the exposure parameter updating is abandoned.
The specific implementation mode can include: processing the second image to obtain a histogram of the second image, namely a second histogram, and acquiring peak coordinates (x2, y2) of the second histogram; if x2 is in the set interval, determining the verification result as verification pass, otherwise, determining the verification result as verification fail.
The electronic device performs the updating of the exposure parameters.
The technical scheme that this application provides is when carrying out the version update, obtain the first exposure parameter of this version update, then carry out exposure compensation to first template image according to this first exposure parameter and obtain the compensation image, then adopt this first exposure parameter to compensate and obtain other compensation image to the optics fingerprint image of actual collection, then confirm the update scheme of this exposure parameter according to the verification result of two compensation images, when carrying out the exposure parameter update like this, the scene that the matching electronic equipment that just can be better used, and then improve fingerprint identification's accuracy, improve user experience.
Referring to fig. 5A, fig. 5A provides an electronic device comprising an optical fingerprint module 501, a communication module 502, a processor 503 and a memory 504, wherein,
the communication module 502 is used for acquiring a first exposure parameter and a first template image of the optical fingerprint module when version updating is started;
a processor 503, configured to perform exposure compensation on the first template image by using a first exposure parameter to obtain a second image;
the optical fingerprint module 501 is used for acquiring a third optical fingerprint image;
the processor 503 is further configured to perform exposure compensation on the third optical fingerprint image by using the first exposure parameter to obtain a fourth image; and verifying the second image and the fourth image to obtain a verification result, and updating the exposure parameters of the optical fingerprint module according to the verification result.
The technical scheme that this application provides is when carrying out the version update, obtain the first exposure parameter of this version update, then carry out exposure compensation to first template image according to this first exposure parameter and obtain the compensation image, then adopt this first exposure parameter to compensate and obtain other compensation image to the optics fingerprint image of actual collection, then confirm the update scheme of this exposure parameter according to the verification result of two compensation images, when carrying out the exposure parameter update like this, the scene that the matching electronic equipment that just can be better used, and then improve fingerprint identification's accuracy, improve user experience.
In an alternative arrangement, the first and second electrodes may be,
the processor 503 is specifically configured to replace the original exposure parameter of the optical fingerprint module with the first exposure parameter when the verification result indicates that both the second image and the fourth image are verified, and otherwise, not perform the exposure parameter updating.
In an optional scheme, the processor 503 is specifically configured to process the second image to obtain a histogram of the second image, that is, a first histogram, process the fourth image to obtain a histogram of the fourth image, that is, a second histogram, and obtain peak coordinates (x1, y1) of the first histogram and peak coordinates (x2, y2) of the second histogram; if x1 and x2 are both in the set interval, the verification result is determined to be that the second image and the fourth image both pass the verification, otherwise, the verification result is determined to be that the verification is not passed.
In an alternative, the processor 503 is specifically configured to set a plurality of equidistant lines in the y-axis direction of the first histogram, find the number of intersections of the plurality of equidistant lines and the histogram, select a first equidistant line having only one intersection number, extract coordinates of the intersection of the first equidistant line and the histogram (x1, y1), set a plurality of equidistant lines in the y-axis direction of the second histogram, find the number of intersections of the plurality of equidistant lines and the second histogram, select a second equidistant line having only one intersection number, and extract coordinates of the intersection of the second equidistant line and the second histogram (x2, y 2).
Referring to fig. 5B, fig. 5B provides an optical fingerprint parameter upgrading apparatus applied to an electronic device, where the electronic device includes an optical fingerprint module 501 and a communication module 502, the apparatus includes:
a communication module 502, configured to obtain a first exposure parameter and a first template image when version update is started;
a compensation unit 506, configured to perform exposure compensation on the first template image by using a first exposure parameter to obtain a second image;
an acquisition unit 509 for acquiring a third optical fingerprint image;
the compensation unit 506 is further configured to perform exposure compensation on the third optical fingerprint image by using the first exposure parameter to obtain a fourth image;
a verification unit 507, configured to verify the second image and the fourth image to obtain a verification result;
and an updating unit 508 for updating the exposure parameters of the optical fingerprint module according to the verification result.
The technical scheme that this application provides is when carrying out the version update, obtain the first exposure parameter of this version update, then carry out exposure compensation to first template image according to this first exposure parameter and obtain the compensation image, then adopt this first exposure parameter to compensate and obtain other compensation image to the optics fingerprint image of actual collection, then confirm the update scheme of this exposure parameter according to the verification result of two compensation images, when carrying out the exposure parameter update like this, the scene that the matching electronic equipment that just can be better used, and then improve fingerprint identification's accuracy, improve user experience.
In an alternative arrangement, the first and second electrodes may be,
the verification unit 507 is specifically configured to process the second image to obtain a histogram of the second image, that is, a first histogram, process the fourth image to obtain a histogram of the fourth image, that is, a second histogram, and obtain peak coordinates (x1, y1) of the first histogram and peak coordinates (x2, y2) of the second histogram; if x1 and x2 are both in the set interval, the verification result is determined to be that the second image and the fourth image both pass the verification, otherwise, the verification result is determined to be that the verification is not passed.
In an alternative scheme, the verification unit 507 is specifically configured to set a plurality of equidistant lines in the y-axis direction of the first histogram, find the number of intersections of the plurality of equidistant lines and the histogram, select a first equidistant line whose number of intersections is only one, extract coordinates of the intersections of the first equidistant line and the histogram (x1, y1), set a plurality of equidistant lines in the y-axis direction of the second histogram, find the number of intersections of the plurality of equidistant lines and the second histogram, select a second equidistant line whose number of intersections is only one, and extract coordinates of the intersections of the second equidistant line and the second histogram (x2, y 2).
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 (11)
1. An optical fingerprint parameter upgrading method is characterized by comprising the following steps:
when the version updating is started, acquiring a first exposure parameter and a first template image of the optical fingerprint module with the updated version;
carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image; collecting a third optical fingerprint image;
performing exposure compensation on the third optical fingerprint image by adopting a first exposure parameter to obtain a fourth image; verifying the second image and the fourth image to obtain a verification result, and updating the exposure parameters of the optical fingerprint module according to the verification result;
wherein the verifying the second image and the fourth image to obtain a verification result specifically includes:
processing the second image to obtain a histogram of the second image, namely a first histogram, processing the fourth image to obtain a histogram of the fourth image, namely a second histogram, and acquiring peak coordinates (x1, y1) of the first histogram and peak coordinates (x2, y2) of the second histogram; if x1 and x2 are both in the set interval, the verification result is determined to be that the second image and the fourth image both pass the verification, otherwise, the verification result is determined to be that the verification is not passed.
2. The method of claim 1, wherein the updating the exposure parameters of the optical fingerprint module according to the verification result comprises:
and when the verification result is that the second image and the fourth image are verified, replacing the original exposure parameters of the optical fingerprint module by the first exposure parameters, or else, not executing exposure parameter updating.
3. The method of claim 1, wherein the obtaining the peak coordinates (x1, y1) of the first histogram and the peak coordinates (x2, y2) of the second histogram specifically comprises:
setting a plurality of equidistant lines in the y-axis direction of the first histogram, searching the number of intersection points of the equidistant lines and the first histogram, selecting a first equidistant line with only one intersection point number, and extracting coordinates (x1, y1) of the intersection points of the first equidistant line and the histogram;
and setting a plurality of equidistant lines in the y-axis direction of the second histogram, searching the number of intersections of the plurality of equidistant lines and the second histogram, selecting the second equidistant line with only one intersection number, and extracting the coordinates of the intersection of the second equidistant line and the second histogram (x2, y 2).
4. The method of claim 1, further comprising:
performing feature extraction on the fingerprint image contained in the fourth image to obtain a first feature point set; determining the effective area of the fingerprint image, wherein the effective area of the fingerprint is the area of the fingerprint only comprising fingerprint grains; determining the distribution density of the target characteristic points of the fingerprint image according to the first characteristic point set and the effective area of the fingerprint; extracting the characteristics of a preset fingerprint template to obtain a second characteristic point set; determining a target fingerprint identification threshold corresponding to the target characteristic point distribution density according to a preset mapping relation between the characteristic point distribution density and the fingerprint identification threshold; determining a match value between the first set of feature points and the second set of feature points; and when the matching value is larger than the target fingerprint identification threshold value, confirming that the target identity information is successfully matched with the preset identity information.
5. An optical fingerprint parameter upgrading method is characterized by comprising the following steps:
when the version updating is started, acquiring a first exposure parameter and a first template image of the optical fingerprint module with the updated version;
carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image; collecting a third optical fingerprint image;
performing exposure compensation on the third optical fingerprint image by adopting a first exposure parameter to obtain a fourth image; verifying the second image and the fourth image to obtain a verification result, and updating the exposure parameters of the optical fingerprint module according to the verification result;
the method further comprises the following steps:
performing feature extraction on the fingerprint image contained in the fourth image to obtain a first feature point set; determining the effective area of the fingerprint image, wherein the effective area of the fingerprint is the area of the fingerprint only comprising fingerprint grains; determining the distribution density of the target characteristic points of the fingerprint image according to the first characteristic point set and the effective area of the fingerprint; extracting the characteristics of a preset fingerprint template to obtain a second characteristic point set; determining a target fingerprint identification threshold corresponding to the target characteristic point distribution density according to a preset mapping relation between the characteristic point distribution density and the fingerprint identification threshold; determining a match value between the first set of feature points and the second set of feature points; and when the matching value is larger than the target fingerprint identification threshold value, confirming that the target identity information is successfully matched with the preset identity information.
6. An optical fingerprint parameter upgrading apparatus, the apparatus comprising:
the communication module is used for acquiring a first exposure parameter and a first template image when version updating is started;
the compensation unit is used for carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image;
the acquisition unit is used for acquiring a third optical fingerprint image;
the compensation unit is further configured to perform exposure compensation on the third optical fingerprint image by using a first exposure parameter to obtain a fourth image;
the verification unit is used for verifying the second image and the fourth image to obtain a verification result;
the updating unit is used for updating the exposure parameters of the optical fingerprint module according to the verification result;
the verification unit is specifically configured to process the second image to obtain a histogram of the second image, that is, a first histogram, process the fourth image to obtain a histogram of the fourth image, that is, a second histogram, and obtain peak coordinates (x1, y1) of the first histogram and peak coordinates (x2, y2) of the second histogram; if x1 and x2 are both in the set interval, the verification result is determined to be that the second image and the fourth image both pass the verification, otherwise, the verification result is determined to be that the verification is not passed.
7. The apparatus of claim 6,
and the updating unit is specifically configured to replace the original exposure parameter of the optical fingerprint module with the first exposure parameter when the verification result indicates that both the second image and the fourth image are verified, and otherwise, not perform exposure parameter updating.
8. The apparatus of claim 6, wherein the verification unit is configured to set a plurality of equidistant lines in a y-axis direction of the first histogram, search for a number of intersections of the plurality of equidistant lines with the histogram, select a first equidistant line having only one number of intersections, extract coordinates (x1, y1) of the intersections of the first equidistant line with the histogram, set a plurality of equidistant lines in a y-axis direction of the second histogram, search for a number of intersections of the plurality of equidistant lines with the second histogram, select a second equidistant line having only one number of intersections, and extract coordinates (x2, y2) of the intersections of the second equidistant line with the second histogram.
9. An optical fingerprint parameter upgrading apparatus, the apparatus comprising:
the communication module is used for acquiring a first exposure parameter and a first template image when version updating is started;
the compensation unit is used for carrying out exposure compensation on the first template image by adopting a first exposure parameter to obtain a second image;
the acquisition unit is used for acquiring a third optical fingerprint image;
the compensation unit is further configured to perform exposure compensation on the third optical fingerprint image by using a first exposure parameter to obtain a fourth image;
the verification unit is used for verifying the second image and the fourth image to obtain a verification result;
the updating unit is used for updating the exposure parameters of the optical fingerprint module according to the verification result;
the apparatus is further configured to:
performing feature extraction on the fingerprint image contained in the fourth image to obtain a first feature point set; determining the effective area of the fingerprint image, wherein the effective area of the fingerprint is the area of the fingerprint only comprising fingerprint grains; determining the distribution density of the target characteristic points of the fingerprint image according to the first characteristic point set and the effective area of the fingerprint; extracting the characteristics of a preset fingerprint template to obtain a second characteristic point set; determining a target fingerprint identification threshold corresponding to the target characteristic point distribution density according to a preset mapping relation between the characteristic point distribution density and the fingerprint identification threshold; determining a match value between the first set of feature points and the second set of feature points; and when the matching value is larger than the target fingerprint identification threshold value, confirming that the target identity information is successfully matched with the preset identity information.
10. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
11. 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 1-5.
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