CN105956564B - A kind of fingerprint image processing method and equipment - Google Patents
A kind of fingerprint image processing method and equipment Download PDFInfo
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- CN105956564B CN105956564B CN201610301972.3A CN201610301972A CN105956564B CN 105956564 B CN105956564 B CN 105956564B CN 201610301972 A CN201610301972 A CN 201610301972A CN 105956564 B CN105956564 B CN 105956564B
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- 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
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Abstract
The embodiment of the invention discloses a kind of fingerprint image processing method and equipment, the realization of wherein method includes：Pending fingerprint image is obtained, obtains the pixel value of each pixel in the pending fingerprint image；The pixel value of foundation target pixel points, and the pixel value of the pixel adjacent with the target pixel points, calculate the grey decision-making of the target pixel points；The pixel that the target pixel points belong in the pending fingerprint image；The series for the grey decision-making that the pending fingerprint image after the grey decision-making of each pixel, is determined in the pending fingerprint image is being calculated；The series of the grey decision-making of the pending fingerprint image is improved, the pending fingerprint image is converted into target fingerprint image.Make target fingerprint image relative to the more close real fingerprint image of pending fingerprint image, and make the feature of target fingerprint image more prominent, so as to be advantageous to improve the discrimination of fingerprint image, be further advantageous to the raising of unblock rate and authentication efficiency.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of fingerprint image processing method and equipment.
Background technology
Fingerprint image is the data using image format as the fingerprint of carrier.Fingerprint is by recessed in the finger pulp of human finger end
The lines that convex skin is formed.Fingerprint can make hand increase frictional force in contact subject, so as to be easier to have an effect and promptly thing
Part.It is self-assembling formation in human evolution's process type.Fingerprint is to be formed in the finger pulp of human finger end by the skin of bumps
Lines, because the fingerprint of people is that nature-nurture is coefficient, it is also closely related with health, thus fingerprint everybody
All have, it is different, because fingerprint repetitive rate is minimum, about 1/15000000000th, therefore it is referred to as " human body identity card ".Exactly
This feature based on fingerprint, fingerprint are widely used as the information of authentication.
For example, fingerprint identification technology has become the standard configuration of main flow mobile terminal manufacturer flagship type.Fingerprint recognition is not only
It can be used for the functions such as unblock and the wake-up of mobile terminal, and the ring that mobile payment is important.Fingerprint, which is paid, is meeting user
While property easy to use, to security it is also proposed that higher requirement.
The process of fingerprint recognition is divided into：Extract feature, preserve data and images match.
After the original fingerprint image of somatic fingerprint is read by fingerprint reading systems, it is necessary to original fingerprint image
Preliminary processing is carried out, is allowed to apparent, then carries out Feature Points Matching with the registered fingerprint template pre-saved.The match is successful
It is unlocked afterwards.
Although fingerprint identification technology is widely used with its unique advantage, current fingerprint recognition is still deposited
It is still not high in discrimination, therefore unblock rate is accordingly relatively low, and it is relatively low to further result in authentication efficiency.
The content of the invention
The embodiments of the invention provide a kind of fingerprint image processing method and equipment, for improving the identification of fingerprint image
Rate.
On the one hand the embodiments of the invention provide a kind of fingerprint image processing method, including：
Pending fingerprint image is obtained, obtains the pixel value of each pixel in the pending fingerprint image；
According to the pixel value of target pixel points, and the pixel value of the pixel adjacent with the target pixel points, calculate
The grey decision-making of the target pixel points；The pixel that the target pixel points belong in the pending fingerprint image；
It is being calculated in the pending fingerprint image after the grey decision-making of each pixel, is determining the pending fingerprint image
The series of the grey decision-making of picture；
The series of the grey decision-making of the pending fingerprint image is improved, the pending fingerprint image is converted into target refers to
Print image.
In a kind of possible implementation, the pixel value bag for obtaining each pixel in the pending fingerprint image
Include：
The capacitance of each pixel in the fingerprint image that the fingerprint collecting equipment collection pending fingerprint image obtains, or electricity
The weighted value of capacitance.
In a kind of possible implementation, the pixel value according to target pixel points, and with the object pixel
The pixel value of the adjacent pixel of point, calculating the grey decision-making of the target pixel points includes：
Determine central point pixel value in the default size contiguous range of the target pixel points, max pixel value and most
Small pixel value；
The grey decision-making for calculating the target pixel points is：A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.It should be noted that grey decision-making is typically integer, so if being calculated
Grey decision-making non-integer in the case of, it is necessary to round.
In a kind of possible implementation, the pixel adjacent with the target pixel points includes：
The n*n pixel put centered on the target pixel points, the n are the odd number more than 1.
In a kind of possible implementation, the pending fingerprint image of acquisition includes：
Pending fingerprint image is received, or, pending fingerprint image is collected by local fingerprint collecting equipment.
In a kind of possible implementation, after the target fingerprint image is obtained, methods described also includes：
The data of the target fingerprint image are stored, as registered fingerprint template；
Or it is compared using the target fingerprint image with the registered fingerprint template to prestore.
In a kind of possible implementation, carried out using the target fingerprint image and the registered fingerprint template to prestore
After comparison, methods described also includes：
If comparison result is is verified, unblock corresponds to be operated corresponding to the registered fingerprint template；The registration refers to
Operation includes corresponding to line template：In obligation authority unblock operation, terminal interface unblock operation and application permission unblock operation
Any one.
The aspect of the embodiment of the present invention two provides a kind of fingerprint image processing equipment, including：
Pixel value acquiring unit, for obtaining pending fingerprint image, obtain each pixel in the pending fingerprint image
The pixel value of point；
Grey decision-making computing unit is and adjacent with the target pixel points for the pixel value according to target pixel points
The pixel value of pixel, calculate the grey decision-making of the target pixel points；The target pixel points belong to the pending fingerprint image
Pixel as in；
Series determining unit, for each pixel in the pending fingerprint image to be calculated in the GTG computing unit
After the grey decision-making of point, the series of the grey decision-making of the pending fingerprint image is determined；
Image conversion unit, the series of the grey decision-making for improving the pending fingerprint image, by the pending finger
Print image is converted to target fingerprint image.
In a kind of possible implementation, the pixel value acquiring unit, adopted specifically for obtaining fingerprint collecting equipment
Collect the capacitance of each pixel in the fingerprint image that the pending fingerprint image obtains, or the weighted value of capacitance.
In a kind of possible implementation, the grey decision-making computing unit, specifically for determining the target pixel points
Default size contiguous range in central point pixel value, max pixel value, minimum pixel value；
The grey decision-making for calculating the target pixel points is：A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.
In a kind of possible implementation, the pixel adjacent with the target pixel points includes：
The n*n pixel put centered on the target pixel points, the n are the odd number more than 1.
In a kind of possible implementation, the pixel value acquiring unit, specifically for receiving pending fingerprint image,
Or pending fingerprint image is collected by local fingerprint collecting equipment.
In a kind of possible implementation, the equipment also includes：Memory cell or comparing unit；
The memory cell, after obtaining the target fingerprint image in described image converting unit, described in storage
The data of target fingerprint image, as registered fingerprint template；
Or the comparing unit, after obtaining the target fingerprint image for described image converting unit, use institute
Target fingerprint image is stated to be compared with the registered fingerprint template to prestore.
In a kind of possible implementation, the equipment also includes：
Control unit is unlocked, for using the target fingerprint image and the registered fingerprint mould to prestore in the comparing unit
After plate is compared, if comparison result is is verified, unblock corresponds to be operated corresponding to the registered fingerprint template；It is described
Operation includes corresponding to registered fingerprint template：Obligation authority unblock operation, terminal interface unblock operation and application permission unblock
Any one in operation.
The three aspect embodiment of the present invention additionally provide a kind of equipment, including：Processor and memory, wherein the processor
For performing, the embodiments of the invention provide the method described in any one.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below：By to pending fingerprint image
Pixel value processing, obtain the grey decision-making of each pixel value, and determined therefrom that the grey decision-making of the pending fingerprint image
Series, target fingerprint image is obtained by improving the series of grey decision-making of the pending fingerprint image, target fingerprint can be made
Image makes the feature of target fingerprint image more prominent relative to the more close real fingerprint image of pending fingerprint image
Go out, so as to be advantageous to improve the discrimination of fingerprint image, and be further advantageous to the raising of unblock rate and authentication efficiency.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment
Accompanying drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this
For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these accompanying drawings
His accompanying drawing.
Fig. 1 is present invention method schematic flow sheet；
Fig. 2 is fingerprint image schematic diagram of the embodiment of the present invention；
Fig. 3 is fingerprint image schematic diagram of the embodiment of the present invention；
Fig. 4 is fingerprint chip structure schematic diagram of the embodiment of the present invention；
Fig. 5 is 32 grades of GTG schematic diagrames of the embodiment of the present invention；
Fig. 6 is 256 grades of GTG schematic diagrames of the embodiment of the present invention；
Fig. 7 is present invention method schematic flow sheet；
Fig. 8 is fingerprint image schematic diagram of the embodiment of the present invention；
Fig. 9 is fingerprint image processing equipment structural representation of the embodiment of the present invention；
Figure 10 is fingerprint image processing equipment structural representation of the embodiment of the present invention；
Figure 11 is fingerprint image processing equipment structural representation of the embodiment of the present invention；
Figure 12 is fingerprint image processing equipment structural representation of the embodiment of the present invention；
Figure 13 is terminal device structural representation of the embodiment of the present invention；
Figure 14 is terminal device structural representation of the embodiment of the present invention.
Embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made below in conjunction with accompanying drawing into
One step it is described in detail, it is clear that the described embodiment only a part of embodiment of the present invention, rather than whole implementation
Example.Based on the embodiment in the present invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made
All other embodiment, belongs to the scope of protection of the invention.
Introduction based on background technology understands that fingerprint recognition is related to two key points：Image matching algorithm and image obtain
Take algorithm.For user when unlocked by fingerprint, pressing is overweight or kicking the beam can all cause the fingerprint image of acquisition unintelligible, causes
Mortality lifting is unlocked, also user easily occurs weighing the situation while light when strip fingerprint module is pressed,
Cause image conformity poor, a black edge margin, is not easy to the identification of fingerprint characteristic on one side.The embodiment of the present invention proposes to pass through even amount
Changing algorithm becomes apparent from fingerprint image, and feature is more obvious, improves unlocked by fingerprint rate.
The embodiments of the invention provide a kind of fingerprint image processing method, as shown in figure 1, including：
101：Pending fingerprint image is obtained, obtains the pixel value of each pixel in above-mentioned pending fingerprint image；
In the present embodiment, pending fingerprint image is the fingerprint image for target fingerprint image, Ke Yishi
The fingerprint image that fingerprint image or the local device collection that other equipment is sent obtain；Pixel point value, it is fingerprint image
It is used to measure the parameter of each pixel in fingerprint image as in, by taking capacitive fingerprint collecting equipment as an example, the pixel value can be with
It is the capacitance after capacitance or weighting.Different fingerprint image acquisition technologies can be corresponding with different pixel values,
Uniqueness restriction is not made to this embodiment of the present invention.
Alternatively, the pending fingerprint image of above-mentioned acquisition includes：
Pending fingerprint image is received, or, pending fingerprint image is collected by local fingerprint collecting equipment.
In the present embodiment, pending fingerprint image is received, refers to receive the pending fingerprint image that other equipment is sent,
Under fingerprint recognition application scenarios, the executive agent of the present embodiment can be terminal or server；So server can receive
Carry out the original fingerprint image of the fingerprint collecting equipment collection of self terminal, terminal device can also receive the collection of fingerprint collecting equipment
Original fingerprint image, or the original fingerprint image of the fingerprint collecting equipment collection of other-end.
Alternatively, the pixel value of each pixel includes in the above-mentioned pending fingerprint image of above-mentioned acquisition：
The capacitance of each pixel in the fingerprint image that the above-mentioned pending fingerprint image of fingerprint collecting equipment collection obtains, or electricity
The weighted value of capacitance.
It is understood that different fingerprint image acquisition technologies can be corresponding with different pixel values, therefore with electric capacity
Value, or the pixel value exemplified by the weighted value of capacitance, it should not be construed as the uniqueness restriction to the embodiment of the present invention.
102：The pixel value of foundation target pixel points, and the pixel value of the pixel adjacent with above-mentioned target pixel points,
Calculate the grey decision-making of above-mentioned target pixel points；The pixel that above-mentioned target pixel points belong in above-mentioned pending fingerprint image；
Grey decision-making be pixel it is most dark it is black to it is most bright it is white between brightness hierarchical relationship；In Windows
In, usually 256 rank, digit are 8, and a value in 0~255, referred to as grey decision-making are corresponded to per single order.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows：Above-mentioned foundation object pixel
The pixel value of point, and the pixel value of the pixel adjacent with above-mentioned target pixel points, calculate the GTG of above-mentioned target pixel points
Value includes：
Determine central point pixel value in the default size contiguous range of the target pixel points, max pixel value and most
Small pixel value；
The grey decision-making for calculating above-mentioned target pixel points is：A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.
In above-mentioned target pixel points and the pixel adjacent with above-mentioned target pixel points, positioned at the pixel of central point
Pixel value be central point pixel value, pixel value corresponding to the maximum pixel of pixel value be max pixel value, pixel value minimum
Pixel corresponding to pixel value be minimum pixel value.Pixel can be taken into full account by the calculation of the embodiment of the present invention
With the difference between surrounding pixel point, so that it is determined that a relatively reasonable grey decision-making.
Alternatively, the above-mentioned pixel adjacent with above-mentioned target pixel points includes：
The n*n pixel put centered on above-mentioned target pixel points, above-mentioned n are the odd number more than 1.
In the present embodiment, n values are the odd number more than 1, can so make target pixel points positioned at participation grey decision-making meter
The center of calculation, be advantageous to the accurate grey decision-making for determining target pixel points；The common values of wherein n can be 3 or 5, also may be used
To be other values；Less n can improve computational efficiency, and larger n can make fingerprint image more balanced, both balances,
It can be used using 5 or 7 as compared with the figure of merit.
103：It is being calculated in above-mentioned pending fingerprint image after the grey decision-making of each pixel, is determining above-mentioned pending finger
The series of the grey decision-making of print image；
Gray scale is the black of the different saturation on the basis of black, is had differences between gray scale, by 100% black with
Saturation degree between 0% black (white) is divided into multiple levels, then each species saturation can correspond to one of level, be
Grey decision-making；The quantity of all different grey decision-makings being related to of one image is the series of grey decision-making.At present in computer technology
Field uses binary system, and grey decision-making is represented with digit, it is assumed that digit m, then the m power GTGs that can have 2 are expressed.Example
Such as：8 can represent 256 grey decision-makings.Understood based on described above：The series of grey decision-making can be set, however it is not limited to
One fixed value.
104：The series of the grey decision-making of above-mentioned pending fingerprint image is improved, above-mentioned pending fingerprint image is converted into mesh
Mark fingerprint image.
In the present embodiment, the element of the smaller so pending fingerprint image of the series of the grey decision-making of pending fingerprint image
Difference between point can be smaller, and the feature of pending fingerprint image will unobvious；The series of grey decision-making is so now improved, will
Can become apparent the feature of pending fingerprint image；In the present embodiment, the digit by improving pixel value can be used
The mode of interpolation arithmetic is realized.
The embodiment of the present invention, by the processing of the pixel value to pending fingerprint image, obtain the GTG of each pixel value
Value, and the series of the grey decision-making of the pending fingerprint image has been determined therefrom that, by the GTG for improving the pending fingerprint image
The series of value obtains target fingerprint image, and target fingerprint image can be made more close true relative to pending fingerprint image
Fingerprint image, and make the feature of target fingerprint image more prominent, so as to be advantageous to improve the discrimination of fingerprint image, go forward side by side
One step is advantageous to the raising of unblock rate and authentication efficiency.
The embodiment of the present invention can be used for the application scenarios of initial registration fingerprint template, can also be applied to fingerprint recognition
Application scenarios, based on different application scenarios, the data of target fingerprint image have different processing modes, specific as follows：Obtaining
After obtaining above-mentioned target fingerprint image, the above method also includes：
The data of above-mentioned target fingerprint image are stored, as registered fingerprint template；
Or it is compared using above-mentioned target fingerprint image with the registered fingerprint template to prestore.
The fingerprint image processing of the embodiment of the present invention can apply to the application scenarios of fingerprint recognition, wherein fingerprint recognition
Application scenarios can include payment, interface unlocking and application function unblock, or other may arbitrarily use fingerprint recognition
Application scenarios, therefore the applicating example of the embodiment of the present invention should not be construed as the uniqueness restriction to the embodiment of the present invention, specifically
It is as follows：After being compared using above-mentioned target fingerprint image with the registered fingerprint template to prestore, the above method also includes：
If comparison result is is verified, unblock corresponds to be operated corresponding to above-mentioned registered fingerprint template；Above-mentioned registration refers to
Operation includes corresponding to line template：In obligation authority unblock operation, terminal interface unblock operation and application permission unblock operation
Any one.
The fingerprint chip of fingerprint collecting equipment is generally divided into two kinds, and one is that polarization is square, such as 6*6 areas, Yi Zhongshi
Inclined rectangle, such as 4*10 areas, in whole fingerprint module design, square chip package is often square into module
And circle, and rectangle fingerprint chip will be packaged into rectangle.Be illustrated in fig. 2 shown below is exactly user in strip fingerprint chip
The one side occurred during pressing is gently while heavy (left side is light, right side weight), caused fingerprint image is uneven, in circular and square finger
Line module, same similar uneven phenomenon also occurs.It can cause to unlock mortality raising.
Feature based on fingerprint, the embodiment of the present invention define two category features of fingerprint to carry out the checking of fingerprint：It is overall
Feature and local feature.General characteristic refers to those features observed with the direct can of human eye, including：Basic grain pattern
Ring-like (loop), arcuate (arch), screw type (whorl).It is continuous that local feature is due to that fingerprint lines is not, nor
Smooth straight, but often there is interruption, bifurcated or discounting.These breakpoints, bifurcation and turning point are known as " node ".Just
It is the confirmation nodal properties that these nodes provide fingerprint uniqueness, that is, the local feature of fingerprint.
Basic lines and node are the key messages of fingerprint image.
The basic grain pattern of fingerprint also has other mode classifications, such as：Fingerprint has also divided three types：There are concentric circles or spiral shell
Lira line, it appears that as whirlpool in water, be whorl；Some streaklines are openings at one side, i.e., as dustpan, are dustpan shape
Line；Some line image bows are the same, are archwire line.For each one fingerprint in addition to shape difference, number, the length of line shape are also different.
As shown in figure 3, it is whorl.This is a more outstanding fingerprint image result, compared to the fingerprint image characteristics shown in Fig. 2
Become apparent and clearly.
The basic grain pattern of fingerprint, it is that hypodermis creates this different class to the difference in finger belly epidermis top pressure direction
Type.Research shows, if someone finger tripe Gao Eryuan, the lines of its fingerprint will be screw type.
In embodiments of the present invention, the principle that fingerprint image obtains is fingerprint chip internal pixel as m*n array
Point (pixel) forms, as shown in figure 4, region shown in dotted line frame is fingerprint chip, the array in Fig. 4 has 56*192, and one is shared
10752 pixel points, during fingerprint collecting, 10752 pixel values can be collected, corresponding each pixel values can be with
Showed by the form of image；
When finger down fingerprint module surface, each pixel points are with forming capacitance, electric capacity between finger surface
Value can according to the peak valley difference of fingerprint without same, because it is near with pixel points distance to refer to summit, and refer to paddy can be a little further.Fingerprint mould
Group can form a rough three-dimensional surface according to the capacitance size of 10752 pixels, be simulated by this three-dimensional surface
Fingerprint image.
Because the finger peak of finger and finger paddy direct range difference are too small, the peak-to-peak value of pixel values is relative to the flat of pixel
Average is too small, typically less than 5% change, so the picture quality obtained is excessively poor, a piece of pitch-black, black and white cannot be distinguished by,
The matching performance of fingerprint is well imagined below.
For user when unlocked by fingerprint, pressing is overweight or kicks the beam and can all cause fogging image, and unblock mortality carries
Rise, also user easily occurs weighing the situation while light, cause image uniform when strip fingerprint module is pressed
Property it is poor, a black edge margin, is not easy to the identification of fingerprint characteristic on one side.
In order to solve the above technical problems, the embodiment of the present invention is by original fingerprint image (i.e. pending fingerprint image
Picture) GTG quantification treatment is carried out, before GTG quantification treatment is introduced, first introduce influence of the GTG to fingerprint image.
GTG refer to it is most dark it is black to it is most bright it is white between brightness hierarchical relationship.Comparison of light and shade and black-white colors transition side
The performance in face, image is more clear, and it is then better to get over nature excessively.Illustrate.On GTG, using 32 grades of GTGs and 256 grades
The performance of GTG is contrasted, as shown in Figure 5.In 32 grades of GTGs, almost all can distinguish it is not at the same level between color it is deep
Shallow difference, entire image uniformity is more preferably.
As shown in fig. 6, it is 256 grades of GTGs, in 256 grades of GTGs, color restoration capability has more obvious raising, upper left
Angle, which only has a small number of GTGs, clearly to differentiate, and the excessive scope of color-grading is wider, and contrast is more preferably.In addition, GTG is difficult to point
Distinguish that a portion reason is recognition capability of the human eye to color, will not be suffered from this for equipment.
Present invention method flow is illustrated, as shown in fig. 7, it is specific as follows, including：
701：Each pixel points take 3*3 pixel points formation neighborhood around；
In the present embodiment, 3*3 is only to illustrate, other neighborhoods such as 5*5 or 7*7.
702：Enter line number statistics of science to the pixel points in this neighborhood；
703：If the pixel data of 9 points, maximum (max) value, minimum (min) value and centerpoint value are counted；
704：Calculate grey decision-making=255* (centerpoint value-min)/(max-min) of the centre of neighbourhood point；
It is understood that grey decision-making should be integer herein, if the value being calculated has decimal so to need to take it
Turn over is changed to grey decision-making.
705：Test out the grey decision-making of all pixel points；
706：Series quantization is carried out to grey decision-making, from harmonic series to premium volume, for example is originally that 6 are quantified as 8
GTG, the definition of image more preferably, are more nearly actual fingerprint, improve fingerprint correctly unblock rate.
In the present embodiment, specifically from harmonic series to the mode of premium volume can be improve be used for represent pixel
The digit of pixel value, then participate in calculating grey decision-making using the pixel value after raising digit；The calculation of other above-mentioned calculating grey decision-making
255 value can determine according to the maximum series of the grey decision-making of setting in formula.
As shown in figure 8, being the fingerprint image treated through scheme of the embodiment of the present invention, whole fingerprint image is more uniform,
The situation that weight differs no longer is shown as, fingerprint characteristic becomes apparent.
The embodiment of the present invention additionally provides a kind of fingerprint image processing equipment, as shown in figure 9, including：
Pixel value acquiring unit 901, for obtaining pending fingerprint image, obtain each picture in above-mentioned pending fingerprint image
The pixel value of vegetarian refreshments；
Grey decision-making computing unit 902 is and adjacent with above-mentioned target pixel points for the pixel value according to target pixel points
Pixel pixel value, calculate the grey decision-makings of above-mentioned target pixel points；Above-mentioned target pixel points belong to above-mentioned pending fingerprint
Pixel in image；
Series determining unit 903, for being calculated in above-mentioned GTG computing unit in above-mentioned pending fingerprint image respectively
After the grey decision-making of pixel, the series of the grey decision-making of above-mentioned pending fingerprint image is determined；
Image conversion unit 904, the series of the grey decision-making for improving above-mentioned pending fingerprint image, will be above-mentioned pending
Fingerprint image is converted to target fingerprint image.
In the present embodiment, pending fingerprint image is the fingerprint image for target fingerprint image, Ke Yishi
The fingerprint image that fingerprint image or the local device collection that other equipment is sent obtain；Pixel point value, it is fingerprint image
It is used to measure the parameter of each pixel in fingerprint image as in, by taking capacitive fingerprint collecting equipment as an example, the pixel value can be with
It is the capacitance after capacitance or weighting.Different fingerprint image acquisition technologies can be corresponding with different pixel values,
Uniqueness restriction is not made to this embodiment of the present invention.
The embodiment of the present invention, by the processing of the pixel value to pending fingerprint image, obtain the GTG of each pixel value
Value, and the series of the grey decision-making of the pending fingerprint image has been determined therefrom that, by the GTG for improving the pending fingerprint image
The series of value obtains target fingerprint image, and target fingerprint image can be made more close true relative to pending fingerprint image
Fingerprint image, and make the feature of target fingerprint image more prominent, so as to be advantageous to improve the discrimination of fingerprint image, go forward side by side
One step is advantageous to the raising of unblock rate and authentication efficiency.
Alternatively, above-mentioned pixel value acquiring unit 901, above-mentioned pending finger is gathered specifically for obtaining fingerprint collecting equipment
The capacitance of each pixel in the fingerprint image that print image obtains, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technologies can be corresponding with different pixel values, therefore with electric capacity
Value, or the pixel value exemplified by the weighted value of capacitance, it should not be construed as the uniqueness restriction to the embodiment of the present invention.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows：Above-mentioned grey decision-making calculates single
Member 902, the central point pixel value in default size contiguous range specifically for determining the target pixel points, max pixel value
And minimum pixel value；
The grey decision-making for calculating above-mentioned target pixel points is：A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.
In above-mentioned target pixel points and the pixel adjacent with above-mentioned target pixel points, positioned at the pixel of central point
Pixel value be central point pixel value, pixel value corresponding to the maximum pixel of pixel value be max pixel value, pixel value minimum
Pixel corresponding to pixel value be minimum pixel value.Pixel can be taken into full account by the calculation of the embodiment of the present invention
With the difference between surrounding pixel point, so that it is determined that a relatively reasonable grey decision-making.
Alternatively, the above-mentioned pixel adjacent with above-mentioned target pixel points includes：
The n*n pixel put centered on above-mentioned target pixel points, above-mentioned n are the odd number more than 1.
In the present embodiment, n values are the odd number more than 1, can so make target pixel points positioned at participation grey decision-making meter
The center of calculation, be advantageous to the accurate grey decision-making for determining target pixel points；The common values of wherein n can be 3 or 5, also may be used
To be other values；Less n can improve computational efficiency, and larger n can make fingerprint image more balanced, both balances,
It can be used using 5 or 7 as compared with the figure of merit.
Alternatively, above-mentioned pixel value acquiring unit 901, specifically for receiving pending fingerprint image, or, pass through local
Fingerprint collecting equipment collects pending fingerprint image.
In the present embodiment, pending fingerprint image is received, refers to receive the pending fingerprint image that other equipment is sent,
Under fingerprint recognition application scenarios, the executive agent of the present embodiment can be terminal or server；So server can receive
Carry out the original fingerprint image of the fingerprint collecting equipment collection of self terminal, terminal device can also receive the collection of fingerprint collecting equipment
Original fingerprint image, or the original fingerprint image of the fingerprint collecting equipment collection of other-end.
The embodiment of the present invention can be used for the application scenarios of initial registration fingerprint template, can also be applied to fingerprint recognition
Application scenarios, based on different application scenarios, the data of target fingerprint image have different processing modes, specific as follows：Such as figure
Shown in 10 or as shown in figure 11, the said equipment also includes：Memory cell 1001 or comparing unit 1101；
Said memory cells 1001, after obtaining above-mentioned target fingerprint image in above-mentioned image conversion unit 904, deposit
The data of above-mentioned target fingerprint image are stored up, as registered fingerprint template；
Or above-mentioned comparing unit 1101, for above-mentioned image conversion unit 904 obtain above-mentioned target fingerprint image it
Afterwards, it is compared using above-mentioned target fingerprint image with the registered fingerprint template to prestore.
The fingerprint image processing of the embodiment of the present invention can apply to the application scenarios of fingerprint recognition, wherein fingerprint recognition
Application scenarios can include payment, interface unlocking and application function unblock, or other may arbitrarily use fingerprint recognition
Application scenarios, therefore the applicating example of the embodiment of the present invention should not be construed as the uniqueness restriction to the embodiment of the present invention, specifically
It is as follows：As shown in figure 12, the said equipment also includes：
Control unit 1201 is unlocked, for using above-mentioned target fingerprint image and the note to prestore in above-mentioned comparing unit 1101
After volume fingerprint template is compared, if comparison result is is verified, unblock corresponds to corresponding to above-mentioned registered fingerprint template
Operation；Operation includes corresponding to above-mentioned registered fingerprint template：Obligation authority unblock operation, terminal interface unblock operation and application
Authority unlocks any one in operation.
The embodiment of the present invention additionally provides a kind of terminal device, as shown in figure 13, including：Processor 1301 and memory
1302；The caching that wherein memory 1302 can be used for required for the execution data processing of processor 1301, can be also used for providing
Processor 1301 performs the memory space of the data of data processing calling and the result data of acquisition；Can modeling as one
Block, terminal device can also include fingerprint collecting equipment 1303；It should be noted that if pending fingerprint image comes from
The fingerprint image of other equipment collection, local terminal can not have the fingerprint collecting equipment 1303；
Above-mentioned processor 1301, for obtaining pending fingerprint image, obtain each pixel in above-mentioned pending fingerprint image
The pixel value of point；According to the pixel value of target pixel points, and the pixel value of the pixel adjacent with above-mentioned target pixel points, meter
Count stating the grey decision-making of target pixel points in；The pixel that above-mentioned target pixel points belong in above-mentioned pending fingerprint image；Counting
Calculation obtains after the grey decision-making of each pixel, determining the grey decision-making of above-mentioned pending fingerprint image in above-mentioned pending fingerprint image
Series；The series of the grey decision-making of above-mentioned pending fingerprint image is improved, above-mentioned pending fingerprint image is converted into target fingerprint
Image.
In the present embodiment, pending fingerprint image is the fingerprint image for target fingerprint image, Ke Yishi
The fingerprint image that fingerprint image or the local device collection that other equipment is sent obtain；Pixel point value, it is fingerprint image
It is used to measure the parameter of each pixel in fingerprint image as in, by taking capacitive fingerprint collecting equipment as an example, the pixel value can be with
It is the capacitance after capacitance or weighting.Different fingerprint image acquisition technologies can be corresponding with different pixel values,
Uniqueness restriction is not made to this embodiment of the present invention.
The embodiment of the present invention, by the processing of the pixel value to pending fingerprint image, obtain the GTG of each pixel value
Value, and the series of the grey decision-making of the pending fingerprint image has been determined therefrom that, by the GTG for improving the pending fingerprint image
The series of value obtains target fingerprint image, and target fingerprint image can be made more close true relative to pending fingerprint image
Fingerprint image, and make the feature of target fingerprint image more prominent, so as to be advantageous to improve the discrimination of fingerprint image, go forward side by side
One step is advantageous to the raising of unblock rate and authentication efficiency.
Alternatively, above-mentioned processor 1301, for obtaining the pixel value bag of each pixel in above-mentioned pending fingerprint image
Include：The capacitance of each pixel in the fingerprint image that the above-mentioned pending fingerprint image of fingerprint collecting equipment collection obtains, or capacitance
Weighted value.
It is understood that different fingerprint image acquisition technologies can be corresponding with different pixel values, therefore with electric capacity
Value, or the pixel value exemplified by the weighted value of capacitance, it should not be construed as the uniqueness restriction to the embodiment of the present invention.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows：Above-mentioned processor 1301,
For the pixel value according to target pixel points, and the pixel value of the pixel adjacent with above-mentioned target pixel points, calculate above-mentioned
The grey decision-making of target pixel points includes：
Determine central point pixel value in the default size contiguous range of the target pixel points, max pixel value and most
Small pixel value；
The grey decision-making for calculating above-mentioned target pixel points is：A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.
In above-mentioned target pixel points and the pixel adjacent with above-mentioned target pixel points, positioned at the pixel of central point
Pixel value be central point pixel value, pixel value corresponding to the maximum pixel of pixel value be max pixel value, pixel value minimum
Pixel corresponding to pixel value be minimum pixel value.Pixel can be taken into full account by the calculation of the embodiment of the present invention
With the difference between surrounding pixel point, so that it is determined that a relatively reasonable grey decision-making.
Alternatively, the above-mentioned pixel adjacent with above-mentioned target pixel points includes：
The n*n pixel put centered on above-mentioned target pixel points, above-mentioned n are the odd number more than 1.
In the present embodiment, n values are the odd number more than 1, can so make target pixel points positioned at participation grey decision-making meter
The center of calculation, be advantageous to the accurate grey decision-making for determining target pixel points；The common values of wherein n can be 3 or 5, also may be used
To be other values；Less n can improve computational efficiency, and larger n can make fingerprint image more balanced, both balances,
It can be used using 5 or 7 as compared with the figure of merit.
Alternatively, above-mentioned processor 1301, include for obtaining pending fingerprint image：
Pending fingerprint image is received, or, pending fingerprint image is collected by local fingerprint collecting equipment.
In the present embodiment, pending fingerprint image is received, refers to receive the pending fingerprint image that other equipment is sent,
Under fingerprint recognition application scenarios, the executive agent of the present embodiment can be terminal or server；So server can receive
Carry out the original fingerprint image of the fingerprint collecting equipment collection of self terminal, terminal device can also receive the collection of fingerprint collecting equipment
Original fingerprint image, or the original fingerprint image of the fingerprint collecting equipment collection of other-end.
The embodiment of the present invention can be used for the application scenarios of initial registration fingerprint template, can also be applied to fingerprint recognition
Application scenarios, based on different application scenarios, the data of target fingerprint image have different processing modes, specific as follows：It is above-mentioned
Processor 1301, it is additionally operable to after above-mentioned target fingerprint image is obtained, by the data Cun Chudao of above-mentioned target fingerprint image
Memory 1302 is stated, as registered fingerprint template；
Or it is compared using above-mentioned target fingerprint image with the registered fingerprint template to prestore.
The fingerprint image processing of the embodiment of the present invention can apply to the application scenarios of fingerprint recognition, wherein fingerprint recognition
Application scenarios can include payment, interface unlocking and application function unblock, or other may arbitrarily use fingerprint recognition
Application scenarios, therefore the applicating example of the embodiment of the present invention should not be construed as the uniqueness restriction to the embodiment of the present invention, specifically
It is as follows：Above-mentioned processor 1301, it is additionally operable to be compared with the registered fingerprint template to prestore using above-mentioned target fingerprint image
Afterwards, if comparison result is is verified, unblock corresponds to be operated corresponding to above-mentioned registered fingerprint template；Above-mentioned registered fingerprint mould
Operation includes corresponding to plate：Appointing in obligation authority unblock operation, terminal interface unblock operation and application permission unblock operation
Meaning is a kind of.
The embodiment of the present invention additionally provides another terminal device, as shown in figure 14, for convenience of description, illustrate only with
The related part of the embodiment of the present invention, particular technique details do not disclose, refer to present invention method part.The terminal
Can be to include mobile phone, tablet personal computer, PDA (Personal Digital Assistant, personal digital assistant), POS
Any terminal device such as (Point of Sales, point-of-sale terminal), vehicle-mounted computer, so that terminal is mobile phone as an example：
Figure 14 is illustrated that the block diagram of the part-structure of the mobile phone related to terminal provided in an embodiment of the present invention.Reference chart
14, mobile phone includes：Radio frequency (Radio Frequency, RF) circuit 1410, memory 1420, input block 1430, display unit
1440th, sensor 1450, voicefrequency circuit 1460, Wireless Fidelity (wireless fidelity, WiFi) module 1470, processor
The part such as 1480 and power supply 1490.It will be understood by those skilled in the art that the handset structure shown in Figure 14 is not formed pair
The restriction of mobile phone, it can include than illustrating more or less parts, either combine some parts or different part cloth
Put.
Each component parts of mobile phone is specifically introduced with reference to Figure 14：
RF circuits 1410 can be used for receive and send messages or communication process in, the reception and transmission of signal, especially, by base station
After downlink information receives, handled to processor 1480；In addition, it is sent to base station by up data are designed.Generally, RF circuits
1410 include but is not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (Low Noise
Amplifier, LNA), duplexer etc..In addition, RF circuits 1410 can also be led to by radio communication and network and other equipment
Letter.Above-mentioned radio communication can use any communication standard or agreement, including but not limited to global system for mobile communications (Global
System of Mobile communication, GSM), general packet radio service (General Packet Radio
Service, GPRS), CDMA (Code Division Multiple Access, CDMA), WCDMA
(Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution,
LTE), Email, Short Message Service (Short Messaging Service, SMS) etc..
Memory 1420 can be used for storage software program and module, and processor 1480 is stored in memory by operation
1420 software program and module, so as to perform the various function application of mobile phone and data processing.Memory 1420 can be led
To include storing program area and storage data field, wherein, storing program area can storage program area, needed at least one function
Application program (such as sound-playing function, image player function etc.) etc.；Storage data field can store uses institute according to mobile phone
Data (such as voice data, phone directory etc.) of establishment etc..Stored in addition, memory 1420 can include high random access
Device, nonvolatile memory can also be included, a for example, at least disk memory, flush memory device or other volatibility are consolidated
State memory device.
Input block 1430 can be used for the numeral or character information for receiving input, and produce with the user of mobile phone set with
And the key signals input that function control is relevant.Specifically, input block 1430 may include contact panel 1431 and other inputs
Equipment 1432.Contact panel 1431, also referred to as touch-screen, collect touch operation (such as user of the user on or near it
Use the behaviour of any suitable object such as finger, stylus or annex on contact panel 1431 or near contact panel 1431
Make), and corresponding attachment means are driven according to formula set in advance.Optionally, contact panel 1431 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
Contact coordinate is converted into, then gives processor 1480, and the order sent of reception processing device 1480 and can be performed.In addition,
The polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be used to realize contact panel 1431.Except touch surface
Plate 1431, input block 1430 can also include other input equipments 1432.Specifically, other input equipments 1432 can include
But it is not limited in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc.
It is one or more.
Display unit 1440 can be used for display by user input information or be supplied to user information and mobile phone it is each
Kind menu.Display unit 1440 may include display panel 1441, optionally, can use liquid crystal display (Liquid
Crystal Display, LCD), the form such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED)
To configure display panel 1441.Further, contact panel 1431 can cover display panel 1441, when contact panel 1431 detects
To after the touch operation on or near it, processor 1480 is sent to determine the type of touch event, is followed by subsequent processing device
1480 provide corresponding visual output according to the type of touch event on display panel 1441.Although in fig. 14, touch surface
Plate 1431 and display panel 1441 are the parts independent as two to realize the input of mobile phone and input function, but some
In embodiment, contact panel 1431 and display panel 1441 can be integrated and realize input and the output function of mobile phone.
Mobile phone may also include at least one sensor 1450, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to ambient light
Light and shade adjust the brightness of display panel 1441, proximity transducer can close display panel when mobile phone is moved in one's ear
1441 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (generally three axles) and add
The size of speed, size and the direction of gravity are can detect that when static, application (such as the horizontal/vertical screen available for identification mobile phone posture
Switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；As for mobile phone also
The other sensors such as configurable gyroscope, barometer, hygrometer, thermometer, infrared ray sensor, will not be repeated here.
Voicefrequency circuit 1460, loudspeaker 1461, microphone 1462 can provide the COBBAIF between user and mobile phone.Audio
Electric signal after the voice data received conversion can be transferred to loudspeaker 1461, is changed by loudspeaker 1461 by circuit 1460
Exported for voice signal；On the other hand, the voice signal of collection is converted to electric signal by microphone 1462, by voicefrequency circuit 1460
Voice data is converted to after reception, then after voice data output processor 1480 is handled, through RF circuits 1410 to be sent to ratio
Such as another mobile phone, or voice data is exported to memory 1420 further to handle.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronicses postal by WiFi module 1470
Part, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Figure 14 is shown
WiFi module 1470, but it is understood that, it is simultaneously not belonging to must be configured into for mobile phone, can not change as needed completely
Become in the essential scope of invention and omit.
Processor 1480 is the control centre of mobile phone, using various interfaces and the various pieces of connection whole mobile phone,
By running or performing the software program and/or module that are stored in memory 1420, and call and be stored in memory 1420
Interior data, the various functions and processing data of mobile phone are performed, so as to carry out integral monitoring to mobile phone.Optionally, processor
1480 may include one or more processing units；Preferably, processor 1480 can integrate application processor and modulation /demodulation processing
Device, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is mainly located
Manage radio communication.It is understood that above-mentioned modem processor can not also be integrated into processor 1480.
Mobile phone also includes the power supply 1490 (such as battery) to all parts power supply, it is preferred that power supply can pass through power supply
Management system and processor 1480 are logically contiguous, so as to realize management charging, electric discharge and power consumption pipe by power-supply management system
The functions such as reason.
Although being not shown, mobile phone can also include camera, bluetooth module etc., will not be repeated here.
In previous embodiment, each step method flow can based on the terminal device structure realize.Wherein sensor
1450 or contact panel 1431 can be used as fingerprint collecting equipment.
It is worth noting that, in above-mentioned fingerprint image processing equipment embodiment, included unit is simply according to work(
Energy logic is divided, but is not limited to above-mentioned division, as long as corresponding function can be realized；In addition, each work(
The specific name of energy unit is also only to facilitate mutually distinguish, the protection domain being not intended to limit the invention.
In addition, one of ordinary skill in the art will appreciate that realize all or part of step in above-mentioned each method embodiment
It is that by program the hardware of correlation can be instructed to complete, corresponding program can be stored in a kind of computer-readable recording medium
In, storage medium mentioned above can be read-only storage, disk or CD etc..
The preferable embodiment of the present invention is these are only, but protection scope of the present invention is not limited thereto, it is any
Those familiar with the art the change that can readily occur in or replaces in the technical scope that the embodiment of the present invention discloses
Change, should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claim
Enclose and be defined.
Claims (13)
- A kind of 1. fingerprint image processing method, it is characterised in that including：Pending fingerprint image is obtained, obtains the pixel value of each pixel in the pending fingerprint image；Determine central point pixel value, max pixel value and the minimum pixel in the default size contiguous range of target pixel points Value；The grey decision-making for calculating the target pixel points is：A* (central point pixel value-minimum pixel value)/(max pixel value-most Small pixel value), wherein 200≤A≤255；The pixel that the target pixel points belong in the pending fingerprint image；It is being calculated in the pending fingerprint image after the grey decision-making of each pixel, is determining the pending fingerprint image The series of grey decision-making；The series of the grey decision-making of the pending fingerprint image is improved, the pending fingerprint image is converted into target fingerprint figure Picture.
- 2. method according to claim 1, it is characterised in that described to obtain each pixel in the pending fingerprint image Pixel value includes：The capacitance of each pixel in the fingerprint image that the fingerprint collecting equipment collection pending fingerprint image obtains, or capacitance Weighted value.
- 3. method according to claim 1 or claim 2, it is characterised in that the default size contiguous range bag of the target pixel points Include：The n*n pixel put centered on the target pixel points, the n are the odd number more than 1.
- 4. method according to claim 1 or claim 2, it is characterised in that the pending fingerprint image of acquisition includes：Pending fingerprint image is received, or, pending fingerprint image is collected by local fingerprint collecting equipment.
- 5. method according to claim 1 or claim 2, it is characterised in that after the target fingerprint image is obtained, methods described Also include：The data of the target fingerprint image are stored, as registered fingerprint template；Or it is compared using the target fingerprint image with the registered fingerprint template to prestore.
- 6. method according to claim 5, it is characterised in that using the target fingerprint image and the registered fingerprint to prestore After template is compared, methods described also includes：If comparison result is is verified, unblock corresponds to be operated corresponding to the registered fingerprint template；The registered fingerprint mould Operation includes corresponding to plate：Appointing in obligation authority unblock operation, terminal interface unblock operation and application permission unblock operation Meaning is a kind of.
- A kind of 7. fingerprint image processing equipment, it is characterised in that including：Pixel value acquiring unit, for obtaining pending fingerprint image, obtain each pixel in the pending fingerprint image Pixel value；Grey decision-making computing unit, the central point pixel value in default size contiguous range for determining target pixel points, maximum Pixel value and minimum pixel value；The grey decision-making for calculating the target pixel points is：A* (central point pixel values-minimum pixel Value)/(max pixel value-minimum pixel value), wherein 200≤A≤255；The target pixel points belong to the pending fingerprint Pixel in image；Series determining unit, for each pixel in the pending fingerprint image to be calculated in the GTG computing unit After grey decision-making, the series of the grey decision-making of the pending fingerprint image is determined；Image conversion unit, the series of the grey decision-making for improving the pending fingerprint image, by the pending fingerprint image As being converted to target fingerprint image.
- 8. equipment according to claim 7, it is characterised in thatThe pixel value acquiring unit, the finger obtained specifically for obtaining the fingerprint collecting equipment collection pending fingerprint image The capacitance of each pixel in print image, or the weighted value of capacitance.
- 9. according to the equipment of claim 7 or 8, it is characterised in that the default size contiguous range bag of the target pixel points Include：The n*n pixel put centered on the target pixel points, the n are the odd number more than 1.
- 10. according to the equipment of claim 7 or 8, it is characterised in thatThe pixel value acquiring unit, specifically for receiving pending fingerprint image, or, adopted by local fingerprint collecting equipment Collection obtains pending fingerprint image.
- 11. according to the equipment of claim 7 or 8, it is characterised in that the equipment also includes：Memory cell compares single Member；The memory cell, after obtaining the target fingerprint image in described image converting unit, store the target The data of fingerprint image, as registered fingerprint template；Or the comparing unit, after obtaining the target fingerprint image for described image converting unit, use the mesh Mark fingerprint image is compared with the registered fingerprint template to prestore.
- 12. the equipment according to claim 11, it is characterised in that the equipment also includes：Control unit is unlocked, for entering in the comparing unit using the target fingerprint image with the registered fingerprint template to prestore After row compares, if comparison result is is verified, unblock corresponds to be operated corresponding to the registered fingerprint template；The registration Operation includes corresponding to fingerprint template：Obligation authority unblock operation, terminal interface unblock operation and application permission unblock operation In any one.
- 13. a kind of terminal device, including：Processor and memory, wherein the processor is used for perform claim requirement 1 to 6 Method described in meaning one.
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| CN107886040A (en) * | 2016-09-30 | 2018-04-06 | 北京小米移动软件有限公司 | Display device and its control method and control assembly and electronic equipment |
| CN107483844B (en) * | 2017-09-04 | 2020-08-25 | 海信视像科技股份有限公司 | Image processing method and device |
| CN109670492B (en) * | 2017-10-13 | 2021-03-09 | 深圳芯启航科技有限公司 | Biological characteristic information acquisition method, biological characteristic information acquisition device and terminal |
| CN108648691B (en) * | 2018-05-14 | 2020-03-20 | 上海天马有机发光显示技术有限公司 | Display panel, driving method thereof and display device |
| CN110276330B (en) * | 2019-06-28 | 2021-06-18 | Oppo广东移动通信有限公司 | Selection method, electronic device and non-volatile computer-readable storage medium |
| CN110363121B (en) * | 2019-07-01 | 2023-04-28 | Oppo广东移动通信有限公司 | Fingerprint image processing method and device, storage medium and electronic equipment |
| CN110364116B (en) * | 2019-07-15 | 2021-06-15 | 云谷（固安）科技有限公司 | Gray scale compensation method, gray scale compensation device and display module |
| CN111209898B (en) * | 2020-03-12 | 2023-05-23 | 敦泰电子（深圳）有限公司 | Method and device for removing optical fingerprint image background |
| CN112800984A (en) * | 2021-02-01 | 2021-05-14 | 联想(北京)有限公司 | Information processing method and device |
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| US20080080751A1 (en) * | 2006-10-02 | 2008-04-03 | Wison Technology Corp. | Method of capturing fingerprint image |
| CN101770570B (en) * | 2009-01-04 | 2013-09-25 | 茂晖科技股份有限公司 | High-efficiency fingerprint image processing method |
| CN101873435B (en) * | 2009-04-23 | 2013-08-14 | 恩斯迈电子(深圳)有限公司 | Method and device thereof for generating high dynamic range image |
| CN103914805A (en) * | 2013-01-04 | 2014-07-09 | 贝伦企业股份有限公司 | Fingerprint image order reducing processing device and method |
| CN105303173A (en) * | 2015-10-19 | 2016-02-03 | 广东欧珀移动通信有限公司 | Method and device for reducing misrecognition rate |
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Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
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Granted publication date: 20180327 |