CN110189367A - Calibration method and relevant device - Google Patents
Calibration method and relevant device Download PDFInfo
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- CN110189367A CN110189367A CN201910459506.1A CN201910459506A CN110189367A CN 110189367 A CN110189367 A CN 110189367A CN 201910459506 A CN201910459506 A CN 201910459506A CN 110189367 A CN110189367 A CN 110189367A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/337—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
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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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Abstract
This application discloses a kind of calibration method and relevant devices, and applied to the electronic equipment including touch screen and fingerprint sensor, method includes: to carry out fingerprint collecting by the fingerprint sensor, obtain the first fingerprint image；The sets of signal values of second area in sets of signal values and the second fingerprint image based on the first area in first fingerprint image, determine the first ratio, first ratio is used to characterize the brightness change of the light source for fingerprint collecting, second fingerprint image is to carry out that fingerprint calibration test is collected, and the corresponding screen position in first area screen position corresponding with the second area is consistent before the electronic equipment dispatches from the factory；Based on described first than the first fingerprint image described in value calibration, third fingerprint image is obtained.The quality for being subsequently used for the fingerprint image of fingerprint authentication can be promoted using the embodiment of the present application.
Description
Technical field
This application involves electronic technology field more particularly to a kind of calibration methods and relevant device.
Background technique
Shield lower optical finger print environment light and stability of layout are required it is relatively high, need electronic equipment (such as smart phone,
Tablet computer etc.) factory before calibrated, such as using calibrate bright dark two fixed reflection surfaces of box differential calibration scheme can disappear
Except ambient noise.But the factors such as electronic equipment display screen aging in actual use or unlock interface background difference,
The variation of brightness when fingerprint induction region will be caused to adopt figure will lead to letter if still subtracting fixed background bottom and making an uproar at this time
Even there is touch panel (Touch Panel, TP) cabling and is formed in the loss of number signal-to-noise ratio (Signal Noise Ratio, SNR)
Grid.
Summary of the invention
The embodiment of the present application provides a kind of calibration method and relevant device, for promoting the fingerprint for being subsequently used for fingerprint authentication
The quality of image.
In a first aspect, the embodiment of the present application provides a kind of calibration method, applied to including touch screen and fingerprint sensor
Electronic equipment, which comprises
Fingerprint collecting is carried out by the fingerprint sensor, obtains the first fingerprint image；
The secondth area in sets of signal values and the second fingerprint image based on the first area in first fingerprint image
The sets of signal values in domain determines that the first ratio, first ratio are used to characterize the brightness change of the light source for fingerprint collecting,
Second fingerprint image is that progress fingerprint calibration test is collected before the electronic equipment dispatches from the factory, the first area pair
The screen position answered screen position corresponding with the second area is consistent；
Based on described first than the first fingerprint image described in value calibration, third fingerprint image is obtained.
Second aspect, the embodiment of the present application provide a kind of calibrating installation, applied to including touch screen and fingerprint sensor
Electronic equipment, described device include:
Fingerprint collecting unit obtains the first fingerprint image for carrying out fingerprint collecting by the fingerprint sensor；
Fingerprint image calibration unit, for the sets of signal values and based on the first area in first fingerprint image
The sets of signal values of second area in two fingerprint images determines that the first ratio, first ratio are used for fingerprint for characterizing
The brightness change of the light source of acquisition, second fingerprint image are to carry out fingerprint calibration test before the electronic equipment dispatches from the factory to adopt
Collect, the corresponding screen position in first area screen position corresponding with the second area is consistent；Based on described
One, than the first fingerprint image described in value calibration, obtains third fingerprint image.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure is included the steps that for executing the instruction in method described in the embodiment of the present application first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Step some or all of described in method described in the embodiment of the present application first aspect.
5th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Step some or all of described in method of the machine execution as described in the embodiment of the present application first aspect.The computer program produces
Product can be a software installation packet.
As can be seen that in the embodiment of the present application, the signal value collection based on the first area in collected fingerprint image
The sets of signal values for closing and calibrating the second area in fingerprint image, determines the first ratio, which is used for for characterizing
The brightness change of the light source of fingerprint collecting, the corresponding screen position in first area screen position corresponding with second area is consistent,
It is then based on the first determining collected fingerprint image of ratio adaptive calibration, can be achieved to be used for fingerprint based on actual in this way
The brightness change adaptive calibration fingerprint image of the light source of acquisition promotes the quality for being subsequently used for the fingerprint image of fingerprint authentication,
And then it reduces and refuses sincere (False Rejection Rate, FRR).
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Figure 1A is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Figure 1B is the schematic diagram of the positional relationship in fingerprint sensor and fingerprint collecting provided by the embodiments of the present application region；
Fig. 2A is a kind of flow diagram of calibration method provided by the embodiments of the present application；
Fig. 2 B is that provided by the embodiments of the present application a kind of whether there is or not the schematic diagrames of the voxel model of the routing region TP；
Fig. 2 C is a kind of schematic diagram for calibrating box dark coloured surface provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another calibration method provided by the embodiments of the present application；
Fig. 4 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of calibrating installation provided by the embodiments of the present application.
Specific embodiment
The term that presently filed embodiment part uses is only used for explaining the specific embodiment of the application, rather than
It is intended to limit the application.The description and claims of this application and the term " first " in the attached drawing, " second ", "
Three " and " the 4th " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " tool
Have " and their any deformations, it is intended that it covers and non-exclusive includes.
Electronic equipment may include the various handheld devices with wireless communication function, mobile unit, wearable device, meter
Calculate equipment or be connected to radio modem other processing equipments and various forms of user equipment (User
Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal device) etc..
A referring to Figure 1, Figure 1A are the structural schematic diagrams of a kind of electronic equipment provided by the embodiments of the present application, which sets
Standby includes processor, memory, signal processor, communication interface, touch screen, loudspeaker, microphone, random access memory
(Random Access Memory, RAM), camera and sensor etc..
Wherein, processor is also possible to AP processor, is also possible to other processors.
Wherein, memory, signal processor, touch screen, loudspeaker, microphone, RAM, camera and sensor and processing
Device connection, communication interface are connect with signal processor.
Wherein, touch screen includes display screen and touch panel (Touch Panel, TP), and touch screen includes fingerprint collecting area
Domain.TP includes metal routing, which forms latticed.The fingerprint collecting region is the panel region in touch screen, i.e.,
The big region that size can press simultaneously for multiple fingers；Alternatively, the fingerprint collecting region be in touch screen only can be for list
The zonule of a finger pressing, is not limited thereto.Position where the fingerprint collecting region can be the middle area of touch screen
Domain, the upper partial region of touch screen, lower partial region of touch screen etc., are not limited thereto.
Wherein, sensor includes fingerprint sensor, infrared sensor, gyroscope etc..The fingerprint sensor is optical finger print
Sensor, the fingerprint sensor can be set to the lower section (as shown in Figure 1B) in fingerprint collecting region, may not be set on fingerprint
The lower section (it is medium to be such as integrated in touch screen) of pickup area, is not limited thereto.Fingerprint collecting region is set in fingerprint sensor
Lower section in the case where, which can acquire the optical signal in fingerprint collecting region.
Wherein, fingerprint collecting principle is that the light issued using fingerprint collecting region is placed on fingerprint collecting to irradiate under the screen of region
Finger on region, the light that fingerprint collecting region issues reflect when reaching finger, are arranged in below fingerprint collecting region
Fingerprint sensor receives the optical signal of reflection, and due to the rough lines of fingerprint, light absorption amplitude is different, to obtain
The different fingerprint image of light and shade.
In the embodiment of the present application, processor obtains the first finger for carrying out fingerprint collecting by the fingerprint sensor
Print image；Second area in sets of signal values and the second fingerprint image based on the first area in first fingerprint image
Sets of signal values, determine the first ratio, first ratio is used to characterize the brightness change for the light source for being used for fingerprint collecting, institute
State the second fingerprint image be it is collected before electronic equipment factory, the corresponding screen position in the first area with it is described
The corresponding screen position of second area is consistent；Based on described first than the first fingerprint image described in value calibration, third fingerprint is obtained
Image.
In the implementation of the application, the first area based on first fingerprint image sets of signal values and
The sets of signal values of the second area of second fingerprint image, in terms of determining the first ratio, processor is specifically used for:
Determine the first average signal value of the first area based on the sets of signal values of the first area, determine described in
First difference of the signal value for each pixel that the first average signal value includes with the first area respectively, and based on true
The first fixed difference carries out mean value calculation, obtains the first difference average value；
Determine the second average signal value of the second area based on the sets of signal values of the second area, determine described in
Second difference of the signal value for each pixel that the second average signal value includes with the second area respectively, and based on true
The second fixed difference carries out mean value calculation, obtains the second difference average value；
Using the ratio of the first difference average value and the second difference average value as the first ratio.
In the implementation of the application, the than the first fingerprint image described in value calibration, is being obtained based on described first
In terms of three fingerprint images, processor is specifically used for:
The signal value square of signal value matrix, first ratio, the first calibration image based on first fingerprint image
Battle array and first function carry out image calibration, obtain the third fingerprint image, and the first calibration image is that acquisition calibration box is dark
The image that color table face obtains；
The first function are as follows: r1=Raw-k*RL, wherein the r1 is the signal value square of the fingerprint image after calibration
Battle array, the k are ratio, and the Raw is the signal value matrix of the fingerprint image before calibration, and the RL is the signal value for calibrating image
Matrix.
In the implementation of the application, in the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, before determining the first ratio, processor is also used to: based on described
The signal value matrix of first fingerprint image, the signal value matrix of the first calibration image and second function carry out image calibration,
Obtain the 4th fingerprint image, the second function are as follows: r2=Raw-RL, wherein the r2 is the fingerprint image after calibration
Signal value matrix, the Raw be calibration before fingerprint image signal value matrix, the RL be calibration image signal value square
Battle array；It determines and carries out fingerprint authentication failure using the 4th fingerprint image.
In the implementation of the application, in the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, before determining the first ratio, processor is also used to: determining this
The corresponding event to be unlocked of fingerprint collecting is setting unlock event.
In the implementation of the application, in the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, before determining the first ratio, processor is also used to described in determination
4th difference of the first average signal value and third average signal value is greater than or equal to first threshold, the third average signal value
For the average signal value in the third region in the 5th fingerprint image, the 5th fingerprint image is last collected fingerprint image
Picture, the corresponding screen position in first area screen position corresponding with the third region are consistent.
In the implementation of the application, processor is also used to:
When the 4th difference is less than the first threshold, based on second than the first fingerprint image described in value calibration, obtain
To the 6th fingerprint image, second ratio is used to characterize the brightness change of the light source for fingerprint collecting, second ratio
It is to carry out calibrating used ratio to the 5th fingerprint image.
It should be noted that the specific implementation process of step performed by each module can be found in it is specific described in following methods
Realization process, no longer describes herein.
Fig. 2A is referred to, Fig. 2A is a kind of flow diagram of calibration method provided by the embodiments of the present application, is applied to upper
Electronic equipment is stated, method includes:
Step 201: electronic equipment carries out fingerprint collecting by the fingerprint sensor, obtains the first fingerprint image.
Step 202: sets of signal values and second of the electronic equipment based on the first area in first fingerprint image refer to
The sets of signal values of second area in print image determines the first ratio.
Wherein, first ratio is used to characterize the brightness change of the light source for fingerprint collecting, the first area pair
The screen position answered screen position corresponding with the second area is consistent.Light source for fingerprint collecting can be fingerprint induction
Brightness+the background luminance in region or other individual light sources.
Wherein, the sets of signal values of first area includes the signal value of each pixel of first area.Second area
Sets of signal values includes the signal value of each pixel of second area.
Wherein, signal value refers to the signal value that fingerprint sensor is sensed when acquiring fingerprint image, and signal value is for example
It is ADC (referring to A/D converter or analog-digital converter, Analog-to-Digital Converter) value.In acquisition fingerprint image
As when the signal value that senses of fingerprint sensor have multiple, each signal value corresponds to a pixel of collected fingerprint image
Point.
Wherein, second fingerprint image is the fingerprint sensing when carrying out fingerprint calibration test before the electronic equipment dispatches from the factory
Device is collected, i.e. the second fingerprint image refers to that display screen does not have collected fingerprint image before aging.Second fingerprint image
It seem to be previously stored in the electronic device.
Specifically, it before carrying out fingerprint authentication, needs to carry out at image the collected fingerprint image of fingerprint sensor
Reason.Carrying out a step crucial in image processing process to fingerprint image is exactly (packet unless the background bottom that finger reflects to form is made an uproar
Include the reflection in background noise and display screen caused by dark current).Wherein, the second fingerprint image is not carry out ambient noise to disappear
Except fingerprint image before, i.e. the second fingerprint image is the fingerprint image before not calibrated.
Wherein, the corresponding screen position in first area screen position corresponding with the second area is consistent.Citing
For, it is assumed that the corresponding screen position in first area is the region A in touch screen, then the corresponding screen position of second area
For the region A in touch screen.
Wherein, the size of first area and second area can be 60*60pixel or 80*80pixel or 50*
60pixel or 70*80pixel etc..
In the implementation of the application, the specific implementation of step 202 has:
Electronic equipment determines the first average signal value of the first area based on the sets of signal values of the first area,
Determine the first difference of the signal value for each pixel that first average signal value includes with the first area respectively, with
And mean value calculation is carried out based on the first determining difference, obtain the first difference average value；Electronic equipment is based on secondth area
The sets of signal values in domain determines the second average signal value of the second area, determine second average signal value respectively with institute
The second difference of the signal value for each pixel that second area includes is stated, and average value is carried out based on the second determining difference
It calculates, obtains the second difference average value；Electronic equipment is by the ratio of the first difference average value and the second difference average value
Value is used as the first ratio.
Specifically, finger texture transmitting signal and background bottom are made an uproar and can all be become when the brightness change of fingerprint induction region
Change, fixed calibration scheme can be occurred to lose calibration if still subtracting the background under calibration brightness (HBM mode) at this time.Root
It is verified according to optics basis and actual test data, the signal value of picture signal is in direct ratio with brightness.The background noise master of image
The dark current for wanting source sensor photodiode only understands small range wave for fixed its numerical value of time of integration Image Acquisition
Dynamic, relative reflection signal is regarded as fixed.Therefore the variation that image background bottom is made an uproar is mainly due to transmitting signal in shielding
Variation.Rigid OLED screen has one layer of TP pattern metal routing, therefore the pixel region for walking line projection and the pixel without cabling
It is had a certain difference between signal, when image has serious calibration distortion, TP, which walks wire grid, to display.
The corresponding voxel model with and without the routing region TP of fingerprint sensor is as shown in Figure 2 B, under same light source, fingerprint
The signal value of sensor sensing is respectively as follows: P1And P2。
Assuming that the light transmittance of TP cabling is λ, then P2=λ P1。
So whether there is or not the differences of the pixel signal values of the routing region TP are as follows: Δ P=P1-P2=(1- λ) P1。
When light-source brightness decays η, P1'=η P1, P2'=η P2；
Whether there is or not the differences of the signal value of the pixel of the routing region TP at this time:
Δ P'=P1'-P2'=P1'-λP1'=(1- λ) P1'=η (1- λ) P1
According to above-mentioned formula:
In conclusion whether there is or not the pixels of the routing region TP in the case where other conditions are equivalent, the variation of difference can be with
The variation of Characterize fingerprints induction region brightness.Therefore the first average signal value of the first area of the first fingerprint image refers to second
The ratio of second average signal value of the second area of print image can be used for characterizing brightness change when adopting figure and calibration.
As an example it is assumed that the first average signal value of first area is a, the first average signal value of second area is b,
First area and second area include 300 pixels, then the first average signal value each of includes with first area respectively
First difference of the signal value of pixel has 300, each pixel that the second average signal value includes with second area respectively
The second difference of signal value also have 300.If it is c based on the first difference average value that 300 the first differences are calculated,
The first difference average value being calculated based on 300 the second differences is d, then the first ratio=c/d.
Step 203: electronic equipment is based on described first than the first fingerprint image described in value calibration, obtains third fingerprint image
Picture.
In the implementation of the application, the specific implementation of step 203 has:
Signal value matrix of the electronic equipment based on first fingerprint image, first ratio, the first calibration image
Signal value matrix and first function carry out image calibration, obtain the third fingerprint image, the first calibration image is acquisition
The image that calibration box dark coloured surface obtains；The first function are as follows: r1=Raw-k*RL, wherein the r1 is the finger after calibration
The signal value matrix of print image, the k are ratio, and the Raw is the signal value matrix of the fingerprint image before calibration, and the RL is
Calibrate the signal value matrix of image.
Wherein, light-source brightness is consistent when the first calibration image of acquisition and the second fingerprint image of acquisition, the first calibration figure
It seem to be previously stored in the electronic device.The schematic diagram for calibrating box dark coloured surface is as shown in Figure 2 C.The letter of first fingerprint image
Number value matrix is that the signal value of each pixel based on the first fingerprint image forms.First calibration image signal value matrix be
The signal value composition of each pixel based on the first calibration image.
Wherein, the signal value matrix and third fingerprint image of the signal value matrix of the first fingerprint image, the first calibration image
Signal value matrix line number with columns be as.
Wherein, the signal value matrix of third fingerprint image includes matrix element i, and the signal value matrix of the first fingerprint image includes
Matrix element j, the signal value matrix of the first calibration image includes matrix element k, and matrix element i, matrix element j and matrix element k are in a matrix
Position be consistent, matrix element i is any one in the signal value matrix of third fingerprint image, and matrix element j is the first finger
Any one in the signal value square of print image, matrix element k is any one in the signal value matrix of the first calibration image.
As can be seen that in the embodiment of the present application, the signal value collection based on the first area in collected fingerprint image
The sets of signal values for closing and calibrating the second area in fingerprint image, determines the first ratio, which is used for for characterizing
The brightness change of the light source of fingerprint collecting, the corresponding screen position in first area screen position corresponding with second area is consistent,
It is then based on the first determining collected fingerprint image of ratio adaptive calibration, can be achieved to be used for fingerprint based on actual in this way
The brightness change adaptive calibration fingerprint image of the light source of acquisition promotes the quality for being subsequently used for the fingerprint image of fingerprint authentication,
And then it reduces and refuses sincere FRR.
In the implementation of the application, before step 202, the method also includes: electronic equipment is based on described
The signal value matrix of first fingerprint image, the signal value matrix of the first calibration image and second function carry out image calibration,
Obtain the 4th fingerprint image, the second function are as follows: r2=Raw-RL, wherein the r2 is the fingerprint image after calibration
Signal value matrix, the Raw be calibration before fingerprint image signal value matrix, the RL be calibration image signal value square
Battle array；It determines and carries out fingerprint authentication failure using the 4th fingerprint image.
Wherein, the signal value matrix and the 4th fingerprint image of the signal value matrix of the first fingerprint image, the first calibration image
Signal value matrix line number with columns be as.
Wherein, the signal value matrix of the 4th fingerprint image includes matrix element x, and the signal value matrix of the first fingerprint image includes
Matrix element y, the signal value matrix of the first calibration image includes matrix element z, and matrix element x, matrix element y and matrix element z are in a matrix
Position be consistent, matrix element x is any one in the signal value matrix of the 4th fingerprint image, and matrix element y is the first finger
Any one in the signal value square of print image, matrix element z is any one in the signal value matrix of the first calibration image.
As can be seen that in the embodiment of the present application, due to determining that the first ratio needs the regular hour, and using based on the
The 4th fingerprint image progress fingerprint authentication that two the first fingerprint images of function calibration obtain, which is also not, not to be passed through centainly, therefore first
Fingerprint authentication is carried out using the 4th fingerprint image, if authentication failed, just executes step 202- step 203, it in this way can be certain
The power consumption of electronic equipment is saved in degree.
In the implementation of the application, before step 202, the method also includes: electronic equipment determines this
The corresponding event to be unlocked of fingerprint collecting is setting unlock event.
Wherein, the matching degree of the fingerprint authentication of setting unlock event requirements is greater than or equal to second threshold.Setting unlock thing
Part for example has fingerprint payment events, fingerprint the starting event, unlocking screen event of specific application (such as QQ, wechat, Alipay)
Deng.
As can be seen that in the embodiment of the present application, due to determining that the first ratio needs the regular hour, and it is not every
The matching degree of the fingerprint authentication of event requirements to be unlocked is all very high, therefore is to set in the corresponding event to be unlocked of this fingerprint collecting
When unlocking event surely, just execute step 202- step 203, in this way can in certain degree saving electronic equipment power consumption.
In the implementation of the application, before step 202, the method also includes: described in electronic equipment determines
4th difference of the first average signal value and third average signal value is greater than or equal to first threshold, the third average signal value
For the average signal value in the third region in the 5th fingerprint image, the 5th fingerprint image is last collected fingerprint image
Picture, the corresponding screen position in first area screen position corresponding with the third region are consistent.
Wherein, the 5th fingerprint image is the fingerprint image not carried out before ambient noise elimination, i.e. the 5th fingerprint image
It is the fingerprint image being not based on before the second ratio is calibrated.
In the implementation of the application, the method also includes:
When the 4th difference is less than the first threshold, electronic equipment is based on second than the first fingerprint described in value calibration
Image, obtains the 6th fingerprint image, and second ratio is used to characterize the brightness change for the light source for being used for fingerprint collecting, and described the
Two ratios are to carry out calibrating used ratio to the 5th fingerprint image.
It should be noted that obtaining the specific of the 6th fingerprint image than the first fingerprint image described in value calibration based on second
Embodiment, than the first fingerprint image described in value calibration, obtains the specific embodiment phase of third fingerprint image with based on first
Together, it no longer describes herein.
As can be seen that in the embodiment of the present application, due to determining that the first ratio needs the regular hour, adopt at this
When the average signal value gap of the fingerprint image and last collected fingerprint image that collect is larger, step 202- step is just executed
Rapid 203, the power consumption of electronic equipment can be saved in certain degree in this way.In addition, if this collected fingerprint image and upper one
When the average signal value gap of secondary collected fingerprint image is smaller, used in being calibrated to last fingerprint image
Ratio calibrates this collected fingerprint image, without ratio calculated again, can save electronics in certain degree in this way
The power consumption of equipment.
In the implementation of the application, before step 202, the method also includes:
Electronic equipment determines that the acquisition time of the 5th fingerprint image is greater than or equal to third apart from present system time
Threshold value.
In the implementation of the application, the method also includes:
When the acquisition time of the 5th fingerprint image is less than the third threshold value apart from the present system time, electricity
Sub- equipment is based on described second than the first fingerprint image described in value calibration, obtains the 7th fingerprint image.
It should be noted that obtaining the specific of the 6th fingerprint image than the first fingerprint image described in value calibration based on second
Embodiment, than the first fingerprint image described in value calibration, obtains the specific embodiment phase of third fingerprint image with based on first
Together, it no longer describes herein.
As can be seen that in the embodiment of the present application, due to determining that the first ratio needs the regular hour, adopt at this
The acquisition time of the fingerprint image that collects and last collected fingerprint image apart from it is larger when, just execution step 202- step
203, the power consumption of electronic equipment can be saved in certain degree in this way.In addition, if this collected fingerprint image and last time
When the acquisition time distance of collected fingerprint image is smaller, based on carrying out calibrating used ratio to last fingerprint image
This collected fingerprint image is calibrated, without ratio calculated again, electronic equipment can be saved in certain degree in this way
Power consumption.
It is consistent with embodiment shown in described Fig. 2A, referring to Fig. 3, Fig. 3 is a kind of school provided by the embodiments of the present application
The flow diagram of quasi- method, is applied to above-mentioned electronic equipment, this calibration method includes:
Step 301: electronic equipment carries out fingerprint collecting by the fingerprint sensor, obtains the first fingerprint image.
Step 302: electronic equipment determine first average signal value and third average signal value the 4th difference whether
More than or equal to first threshold, the third average signal value is the average signal value in the third region in the 5th fingerprint image,
5th fingerprint image is last collected fingerprint image, the corresponding screen position in first area and the third
The corresponding screen position in region is consistent.
If so, thening follow the steps 303.
If it is not, thening follow the steps 307.
Step 303: electronic equipment determines the first flat of the first area based on the sets of signal values of the first area
Equal signal value determines the of the signal value for each pixel that first average signal value includes with the first area respectively
One difference, and mean value calculation is carried out based on the first determining difference, obtain the first difference average value.
Step 304: electronic equipment determines the second flat of the second area based on the sets of signal values of the second area
Equal signal value determines the of the signal value for each pixel that second average signal value includes with the second area respectively
Two differences, and mean value calculation is carried out based on the second determining difference, obtain the second difference average value.
Step 305: electronic equipment is using the ratio of the first difference average value and the second difference average value as the
One ratio.
Step 306: signal value matrix, first ratio, first school of the electronic equipment based on first fingerprint image
The signal value matrix and first function of quasi- image carry out image calibration, obtain the third fingerprint image, the first calibration figure
As the image obtained for acquisition calibration box dark coloured surface.
The first function are as follows: r1=Raw-k*RL, wherein the r1 is the signal value square of the fingerprint image after calibration
Battle array, the k are ratio, and the Raw is the signal value matrix of the fingerprint image before calibration, and the RL is the signal value for calibrating image
Matrix.
Step 307: electronic equipment is based on second than the first fingerprint image described in value calibration, obtains the 6th fingerprint image, institute
The second ratio is stated for characterizing the brightness change for being used for the light source of fingerprint collecting, second ratio is to the 5th fingerprint image
As carrying out calibrating used ratio.
Step 308: electronic equipment carries out fingerprint authentication based on the fingerprint image after calibration.
It should be noted that the specific implementation process of the present embodiment can be found in specific implementation described in above method embodiment
Process no longer describes herein.
It is consistent with above-mentioned Fig. 2A and embodiment shown in Fig. 3, referring to Fig. 4, Fig. 4 is provided by the embodiments of the present application one
The structural schematic diagram of kind electronic equipment, as shown, the electronic equipment includes touch screen and fingerprint sensor, electronic equipment is also wrapped
Include memory, communication interface and one or more programs, wherein said one or multiple programs are stored in above-mentioned memory
In, and be configured to be executed by above-mentioned processor, above procedure includes the instruction for executing following steps:
Fingerprint collecting is carried out by the fingerprint sensor, obtains the first fingerprint image；
The secondth area in sets of signal values and the second fingerprint image based on the first area in first fingerprint image
The sets of signal values in domain determines that the first ratio, first ratio are used to characterize the brightness change of the light source for fingerprint collecting,
Second fingerprint image is that progress fingerprint calibration test is collected before the electronic equipment dispatches from the factory, the first area pair
The screen position answered screen position corresponding with the second area is consistent；
Based on described first than the first fingerprint image described in value calibration, third fingerprint image is obtained.
In the implementation of the application, the first area based on first fingerprint image sets of signal values and
The sets of signal values of the second area of second fingerprint image, in terms of determining the first ratio, above procedure includes being specifically used for executing
The instruction of following steps:
Determine the first average signal value of the first area based on the sets of signal values of the first area, determine described in
First difference of the signal value for each pixel that the first average signal value includes with the first area respectively, and based on true
The first fixed difference carries out mean value calculation, obtains the first difference average value；
Determine the second average signal value of the second area based on the sets of signal values of the second area, determine described in
Second difference of the signal value for each pixel that the second average signal value includes with the second area respectively, and based on true
The second fixed difference carries out mean value calculation, obtains the second difference average value；
Using the ratio of the first difference average value and the second difference average value as the first ratio.
In the implementation of the application, the than the first fingerprint image described in value calibration, is being obtained based on described first
In terms of three fingerprint images, above procedure includes the instruction specifically for executing following steps:
The signal value square of signal value matrix, first ratio, the first calibration image based on first fingerprint image
Battle array and first function carry out image calibration, obtain the third fingerprint image, and the first calibration image is that acquisition calibration box is dark
The image that color table face obtains；
The first function are as follows: r1=Raw-k*RL, wherein the r1 is the signal value square of the fingerprint image after calibration
Battle array, the k are ratio, and the Raw is the signal value matrix of the fingerprint image before calibration, and the RL is the signal value for calibrating image
Matrix.
In the implementation of the application, in the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, before determining the first ratio, above procedure further includes for holding
The instruction of row following steps:
The signal value matrix and the second letter of signal value matrix, the first calibration image based on first fingerprint image
Number carries out image calibration, obtains the 4th fingerprint image, the second function are as follows: r2=Raw-RL, wherein the r2 is school
The signal value matrix of fingerprint image after standard, the Raw are the signal value matrix of the fingerprint image before calibration, and the RL is calibration
The signal value matrix of image；
It determines and carries out fingerprint authentication failure using the 4th fingerprint image.
In the implementation of the application, in the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, before determining the first ratio, above procedure further includes for holding
The instruction of row following steps: determine the corresponding event to be unlocked of this fingerprint collecting for setting unlock event.
In the implementation of the application, in the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, before determining the first ratio, above procedure further includes for holding
The instruction of row following steps:
Determine that the 4th difference of first average signal value and third average signal value is greater than or equal to first threshold, institute
The average signal value that third average signal value is the third region in the 5th fingerprint image is stated, the 5th fingerprint image is upper one
Secondary collected fingerprint image, the corresponding screen position in first area screen position one corresponding with the third region
It causes.
In the implementation of the application, above procedure further includes the instruction for executing following steps:
When the 4th difference is less than the first threshold, based on second than the first fingerprint image described in value calibration, obtain
To the 6th fingerprint image, second ratio is used to characterize the brightness change of the light source for fingerprint collecting, second ratio
It is to carry out calibrating used ratio to the 5th fingerprint image.
It should be noted that the specific implementation process of the present embodiment can be found in specific implementation described in above method embodiment
Process no longer describes herein.
Above-described embodiment is mainly described the scheme of the embodiment of the present application from the angle of method side implementation procedure.It can
With understanding, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or soft for electronic equipment
Part module.Those skilled in the art should be readily appreciated that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function is studied carefully
Unexpectedly it is executed in a manner of hardware or computer software driving hardware, the specific application and design constraint depending on technical solution
Condition.Professional technician can specifically realize described function to each using distinct methods, but this
It realizes it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to the method example to electronic equipment, for example, can
With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit
In.The integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
It is below the application Installation practice, the application Installation practice is realized for executing the application embodiment of the method
Method.Referring to Fig. 5, Fig. 5 is a kind of calibrating installation provided by the embodiments of the present application, it is applied to pass including touch screen and fingerprint
The electronic equipment of sensor, the calibrating installation include:
Fingerprint collecting unit 501 obtains the first fingerprint image for carrying out fingerprint collecting by the fingerprint sensor；
Fingerprint image calibration unit 502, for the sets of signal values based on the first area in first fingerprint image
With the sets of signal values of the second area in the second fingerprint image, determine that the first ratio, first ratio are used for for characterizing
The brightness change of the light source of fingerprint collecting, second fingerprint image are to carry out fingerprint calibration before the electronic equipment dispatches from the factory to survey
What test acquisition arrived, the corresponding screen position in first area screen position corresponding with the second area is consistent；Based on institute
First is stated than the first fingerprint image described in value calibration, obtains third fingerprint image.
In the implementation of the application, the first area based on first fingerprint image sets of signal values and
In terms of the sets of signal values of the second area of second fingerprint image, fingerprint image calibration unit 502 is specifically used for:
Determine the first average signal value of the first area based on the sets of signal values of the first area, determine described in
First difference of the signal value for each pixel that the first average signal value includes with the first area respectively, and based on true
The first fixed difference carries out mean value calculation, obtains the first difference average value；
Determine the second average signal value of the second area based on the sets of signal values of the second area, determine described in
Second difference of the signal value for each pixel that the second average signal value includes with the second area respectively, and based on true
The second fixed difference carries out mean value calculation, obtains the second difference average value；
Using the ratio of the first difference average value and the second difference average value as the first ratio.
In the implementation of the application, the than the first fingerprint image described in value calibration, is being obtained based on described first
In terms of three fingerprint images, fingerprint image calibration unit 502 is specifically used for:
The signal value square of signal value matrix, first ratio, the first calibration image based on first fingerprint image
Battle array and first function carry out image calibration, obtain the third fingerprint image, and the first calibration image is that acquisition calibration box is dark
The image that color table face obtains；
The first function are as follows: r1=Raw-k*RL, wherein the r1 is the signal value square of the fingerprint image after calibration
Battle array, the k are ratio, and the Raw is the signal value matrix of the fingerprint image before calibration, and the RL is the signal value for calibrating image
Matrix.
In the implementation of the application, the calibrating installation further include:
First determination unit 503, in fingerprint image calibration unit 502 based on first in first fingerprint image
The sets of signal values of the sets of signal values in region and the second area in the second fingerprint image is based on before determining the first ratio
The signal value matrix of first fingerprint image, the signal value matrix of the first calibration image and second function carry out image calibration
Standard obtains the 4th fingerprint image, the second function are as follows: r2=Raw-RL, wherein the r2 is the fingerprint image after calibration
The signal value matrix of picture, the Raw are the signal value matrix of the fingerprint image before calibration, and the RL is the signal value for calibrating image
Matrix；It determines and carries out fingerprint authentication failure using the 4th fingerprint image.
In the implementation of the application, the calibrating installation further include:
Second determination unit 504, in fingerprint image calibration unit 502 based on first in first fingerprint image
The sets of signal values of the sets of signal values in region and the second area in the second fingerprint image before determining the first ratio, determines
The corresponding event to be unlocked of this fingerprint collecting is setting unlock event.
In the implementation of the application, the calibrating installation further include:
Third determination unit 505, in fingerprint image calibration unit 502 based on first in first fingerprint image
The sets of signal values of the sets of signal values in region and the second area in the second fingerprint image before determining the first ratio, determines
4th difference of first average signal value and third average signal value is greater than or equal to first threshold, and the third is averagely believed
Number value is the average signal value in the third region in the 5th fingerprint image, and the 5th fingerprint image is last collected finger
Print image, the corresponding screen position in first area screen position corresponding with the third region are consistent.
In the implementation of the application, fingerprint image calibration unit 502 is also used to:
When the 4th difference is less than the first threshold, based on second than the first fingerprint image described in value calibration, obtain
To the 6th fingerprint image, second ratio is used to characterize the brightness change of the light source for fingerprint collecting, second ratio
It is to carry out calibrating used ratio to the 5th fingerprint image.
It should be noted that fingerprint collecting unit 501, fingerprint image calibration unit 502, the first determination unit 503, second
Determination unit 504 and third determination unit 505 can be realized by processor.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step, above-mentioned computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet, above-mentioned computer includes electronic equipment.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English:
Random Access Memory, referred to as: RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of calibration method, which is characterized in that applied to the electronic equipment including touch screen and fingerprint sensor, the method
Include:
Fingerprint collecting is carried out by the fingerprint sensor, obtains the first fingerprint image；
Second area in sets of signal values and the second fingerprint image based on the first area in first fingerprint image
Sets of signal values determines the first ratio, and first ratio is used to characterize the brightness change of the light source for fingerprint collecting, described
Second fingerprint image is that progress fingerprint calibration test is collected before the electronic equipment dispatches from the factory, and the first area is corresponding
Screen position screen position corresponding with the second area is consistent；
Based on described first than the first fingerprint image described in value calibration, third fingerprint image is obtained.
2. the method according to claim 1, wherein the first area based on first fingerprint image
The sets of signal values of the second area of sets of signal values and the second fingerprint image, determines the first ratio, comprising:
The first average signal value that the first area is determined based on the sets of signal values of the first area, determines described first
First difference of the signal value for each pixel that average signal value includes with the first area respectively, and based on determining
First difference carries out mean value calculation, obtains the first difference average value；
The second average signal value that the second area is determined based on the sets of signal values of the second area, determines described second
Second difference of the signal value for each pixel that average signal value includes with the second area respectively, and based on determining
Second difference carries out mean value calculation, obtains the second difference average value；
Using the ratio of the first difference average value and the second difference average value as the first ratio.
3. according to the method described in claim 2, it is characterized in that, described be based on described first than the first fingerprint described in value calibration
Image obtains third fingerprint image, comprising:
Signal value matrix, first ratio based on first fingerprint image, the first calibration image signal value matrix and
First function carries out image calibration, obtains the third fingerprint image, and the first calibration image is acquisition calibration box dead color table
The image that face obtains；
The first function are as follows: r1=Raw-k*RL, wherein the r1 is the signal value matrix of the fingerprint image after calibration, institute
Stating k is ratio, and the Raw is the signal value matrix of the fingerprint image before calibration, and the RL is the signal value matrix for calibrating image.
4. according to the method described in claim 3, it is characterized in that, the base is based on the firstth area in first fingerprint image
The sets of signal values of the sets of signal values in domain and the second area in the second fingerprint image, before determining the first ratio, the side
Method further include:
Signal value matrix based on first fingerprint image, the signal value matrix of the first calibration image and second function into
Row image calibration obtains the 4th fingerprint image, the second function are as follows: r2=Raw-RL, wherein the r2 is after calibrating
Fingerprint image signal value matrix, the Raw be calibration before fingerprint image signal value matrix, the RL be calibration image
Signal value matrix；
It determines and carries out fingerprint authentication failure using the 4th fingerprint image.
5. method according to claim 1-3, which is characterized in that described based in first fingerprint image
The sets of signal values of the sets of signal values of first area and the second area in the second fingerprint image, before determining the first ratio,
The method also includes: determine the corresponding event to be unlocked of this fingerprint collecting for setting unlock event.
6. according to the described in any item methods of claim 2-5, which is characterized in that described based in first fingerprint image
The sets of signal values of the sets of signal values of first area and the second area in the second fingerprint image, before determining the first ratio,
The method also includes:
Determine that the 4th difference of first average signal value and third average signal value is greater than or equal to first threshold, described the
Three average signal values are the average signal value in the third region in the 5th fingerprint image, and the 5th fingerprint image is to adopt the last time
The fingerprint image collected, the corresponding screen position in first area screen position corresponding with the third region are consistent.
7. according to the method described in claim 6, it is characterized in that, the method also includes:
When the 4th difference is less than the first threshold, based on second than the first fingerprint image described in value calibration, the is obtained
Six fingerprint images, second ratio are used to characterize the brightness change of the light source for fingerprint collecting, and second ratio is pair
5th fingerprint image carries out calibrating used ratio.
8. a kind of calibrating installation, which is characterized in that applied to the electronic equipment including touch screen and fingerprint sensor, described device
Include:
Fingerprint collecting unit obtains the first fingerprint image for carrying out fingerprint collecting by the fingerprint sensor；
Fingerprint image calibration unit refers to for the sets of signal values and second based on the first area in first fingerprint image
The sets of signal values of second area in print image determines that the first ratio, first ratio are used for fingerprint collecting for characterizing
Light source brightness change, second fingerprint image be the electronic equipment dispatch from the factory before carry out fingerprint calibration test collect
, the corresponding screen position in first area screen position corresponding with the second area is consistent；Based on first ratio
First fingerprint image described in value calibration obtains third fingerprint image.
9. a kind of electronic equipment, which is characterized in that the electronic equipment includes touch screen and fingerprint sensor, the electronic equipment
It further include memory, communication interface, and one or more programs, one or more of programs are stored in the memory
In, and be configured to be executed by the processor, described program includes for executing such as the described in any item sides of claim 1-7
The instruction of step in method.
10. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange,
In, the computer program makes computer execute the method according to claim 1 to 7.
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