CN105956564A - Fingerprint image processing method and equipment - Google Patents
Fingerprint image processing method and equipment Download PDFInfo
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- CN105956564A CN105956564A CN201610301972.3A CN201610301972A CN105956564A CN 105956564 A CN105956564 A CN 105956564A CN 201610301972 A CN201610301972 A CN 201610301972A CN 105956564 A CN105956564 A CN 105956564A
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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
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Abstract
Embodiments of the invention disclose a fingerprint image processing method and equipment. The method comprises the following steps: acquiring a fingerprint image to be processed, and acquiring the pixel value of each pixel point in the fingerprint image to be processed; calculating the grayscale value of a target pixel point according to the pixel value of the target pixel point and the pixel values of the pixel points adjacent to the target pixel point, wherein the target pixel point belongs to the pixel points in the fingerprint image to be processed; after calculating out the grayscale value of each pixel point in the fingerprint image to be processed, determining the stage number of the grayscale value of the fingerprint image to be processed; and increasing the stage number of the grayscale value of the fingerprint image to be processed, and converting the fingerprint image to be processed into a target fingerprint image. The target fingerprint image is closer to a real fingerprint image than the fingerprint image to be processed, and the characteristic of the target fingerprint image is more outstanding. Thus, the identification rate of fingerprint images is improved, and the unlocking rate and the authentication efficiency are improved.
Description
Technical field
The present invention relates to field of computer technology, particularly to a kind of fingerprint image processing method and equipment.
Background technology
Fingerprint image is the data of the fingerprint using pictorial form as carrier.Fingerprint is that human finger's end refers to
The lines formed by concavo-convex skin on abdomen.Fingerprint can make hands increase frictional force when contact subject, from
And be easier to have an effect and promptly object.It is self-assembling formation in human evolution's process type.Fingerprint is the mankind
Finger tips refers to the lines formed on abdomen by concavo-convex skin, owing to the fingerprint of people is that nature-nurture is total to
Same-action, it is the most closely related with health, thus fingerprint everybody all have, the most different, by
Minimum in fingerprint repetitive rate, about 1/15000000000th, therefore it is referred to as " human body identity card ".It is based on
This feature of fingerprint, fingerprint is widely used as the information of authentication.
Such as, fingerprint identification technology has become as the standard configuration of main flow mobile terminal manufacturer flagship type.Fingerprint
Identify and can be not only used for the unblock of mobile terminal and the function such as wake up up, be also the important ring of mobile payment.
Fingerprint pays while meeting user's property easy to use, to safety it is also proposed that higher requirement.
The process of fingerprint recognition is divided into: extracts feature, preserve data and images match.
After reading, by fingerprint reading systems, the fingerprint image that somatic fingerprint is original, need original
Fingerprint image carries out preliminary process, is allowed to apparent, then enters with the registered fingerprint template pre-saved
Row Feature Points Matching.It is unlocked after the match is successful.
Although fingerprint identification technology is widely used with the advantage of its uniqueness, but fingerprint is known at present
Not yet suffering from discrimination the highest, therefore unblock rate is the most relatively low, further results in authentication efficiency relatively
Low.
Summary of the invention
Embodiments provide a kind of fingerprint image processing method and equipment, be used for improving fingerprint image
The discrimination of picture.
On the one hand a kind of fingerprint image processing method is embodiments provided, including:
Obtain pending fingerprint image, obtain the pixel value of each pixel in described pending fingerprint image；
According to the pixel value of target pixel points, and the pixel of the pixel adjacent with described target pixel points
Value, calculates the grey decision-making of described target pixel points；Described target pixel points belongs to described pending fingerprint image
Pixel in Xiang；
In being calculated described pending fingerprint image after the grey decision-making of each pixel, determine described in wait to locate
The progression of the grey decision-making of reason fingerprint image；
Improve the progression of the grey decision-making of described pending fingerprint image, described pending fingerprint image is changed
For target fingerprint image.
In a kind of possible implementation, each pixel in the described pending fingerprint image of described acquisition
Pixel value includes:
Fingerprint collecting equipment gathers the electric capacity of each pixel in the fingerprint image that described pending fingerprint image obtains
Value, or the weighted value of capacitance.
In a kind of possible implementation, the described pixel value according to target pixel points, and with described
The pixel value of the pixel that target pixel points is adjacent, the grey decision-making calculating described target pixel points includes:
Determine the central point pixel value in the default size contiguous range of described target pixel points, maximum pixel
Value and minimum pixel value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.It should be noted that grey decision-making is the most whole
Number, if in the case of the most calculated grey decision-making is non-integral, needs to round.
In a kind of possible implementation, the pixel that described and described target pixel points is adjacent includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
In a kind of possible implementation, the pending fingerprint image of described acquisition includes:
Receive pending fingerprint image, or, collect pending by local fingerprint collecting equipment
Fingerprint image.
In a kind of possible implementation, after obtaining described target fingerprint image, described method is also
Including:
Store the data of described target fingerprint image, as registered fingerprint template；
Or, use described target fingerprint image and the registered fingerprint template prestored compared.
In a kind of possible implementation, using described target fingerprint image and the registered fingerprint prestored
After template is compared, described method also includes:
If comparison result is for being verified, unlock the operation corresponding corresponding to described registered fingerprint template；Institute
The operation stating registered fingerprint template corresponding includes: obligation authority solution latching operation, terminal interface solution latching operation with
And any one in application permission solution latching operation.
The embodiment of the present invention two aspect provides a kind of fingerprint image processing equipment, including:
Pixel value acquiring unit, is used for obtaining pending fingerprint image, obtains described pending fingerprint image
In the pixel value of each pixel；
Grey decision-making computing unit, for according to the pixel value of target pixel points, and with described object pixel
The pixel value of the pixel that point is adjacent, calculates the grey decision-making of described target pixel points；Described target pixel points
Belong to the pixel in described pending fingerprint image；
Progression determines unit, for being calculated described pending fingerprint image at described GTG computing unit
In each pixel grey decision-making after, determine the progression of the grey decision-making of described pending fingerprint image；
Image conversion unit, for improving the progression of the grey decision-making of described pending fingerprint image, by described
Pending fingerprint image is converted to target fingerprint image.
In a kind of possible implementation, described pixel value acquiring unit, adopt specifically for obtaining fingerprint
Collection equipment gathers the capacitance of each pixel in the fingerprint image that described pending fingerprint image obtains, or electric capacity
The weighted value of value.
In a kind of possible implementation, described grey decision-making computing unit, specifically for determining described mesh
Central point pixel value in the default size contiguous range of mark pixel, max pixel value, minimum pixel value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
In a kind of possible implementation, the pixel that described and described target pixel points is adjacent includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
In a kind of possible implementation, described pixel value acquiring unit, pending specifically for receiving
Fingerprint image, or, collect pending fingerprint image by local fingerprint collecting equipment.
In a kind of possible implementation, described equipment also includes: memory element or comparing unit；
Described memory element, after obtaining described target fingerprint image in described image conversion unit,
Store the data of described target fingerprint image, as registered fingerprint template；
Or, described comparing unit, for described image conversion unit obtain described target fingerprint image it
After, use described target fingerprint image and the registered fingerprint template prestored is compared.
In a kind of possible implementation, described equipment also includes:
Unlock control unit, for using described target fingerprint image and the note prestored at described comparing unit
After volume fingerprint template is compared, if comparison result is for being verified, unlocks and refer to corresponding to described registration
The operation that stricture of vagina template is corresponding；Operation corresponding to described registered fingerprint template includes: obligation authority solution latching operation,
Any one in terminal interface solution latching operation and application permission solution latching operation.
The three aspect embodiment of the present invention additionally provide a kind of equipment, including: processor and memorizer, wherein
Described processor embodiments provides the method described in any one for execution.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that by pending
The process of the pixel value of fingerprint image, it is thus achieved that the grey decision-making of each pixel value, and determined therefrom that this waits to locate
The progression of the grey decision-making of reason fingerprint image, obtains by improving the progression of the grey decision-making of this pending fingerprint image
Obtained target fingerprint image, target fingerprint image can be made closer to very relative to pending fingerprint image
Real fingerprint image, and make the feature of target fingerprint image the most prominent, thus be conducive to improving fingerprint image
The discrimination of picture, and be conducive to unblock rate and the raising of authentication efficiency further.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, in embodiment being described below
The required accompanying drawing used is briefly introduced, it should be apparent that, the accompanying drawing in describing below is only this
Some bright embodiments, from the point of view of those of ordinary skill in the art, are not paying creative work
On the premise of, it is also possible to other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is embodiment of the present invention method flow schematic diagram；
Fig. 2 is embodiment of the present invention fingerprint image schematic diagram；
Fig. 3 is embodiment of the present invention fingerprint image schematic diagram；
Fig. 4 is embodiment of the present invention fingerprint chip structure schematic diagram；
Fig. 5 is 32 grades of GTG schematic diagrams of the embodiment of the present invention；
Fig. 6 is 256 grades of GTG schematic diagrams of the embodiment of the present invention；
Fig. 7 is embodiment of the present invention method flow schematic diagram；
Fig. 8 is embodiment of the present invention fingerprint image schematic diagram；
Fig. 9 is embodiment of the present invention fingerprint image processing equipment structural representation；
Figure 10 is embodiment of the present invention fingerprint image processing equipment structural representation；
Figure 11 is embodiment of the present invention fingerprint image processing equipment structural representation；
Figure 12 is embodiment of the present invention fingerprint image processing equipment structural representation；
Figure 13 is embodiment of the present invention terminal unit structural representation；
Figure 14 is embodiment of the present invention terminal unit structural representation.
Detailed description of the invention
In order to make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to this
Invention is described in further detail, it is clear that described embodiment is only that some of the present invention is implemented
Example rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art exist
Do not make all other embodiments obtained under creative work premise, broadly fall into present invention protection
Scope.
Introduction based on background technology understands, and fingerprint recognition relates to two key points: image matching algorithm with
And Image Acquisition algorithm.User unlocked by fingerprint when, press overweight or kick the beam all can cause obtain
Fingerprint image unintelligible, cause unlock mortality promote, also user pressing strip fingerprint module
When, easily occur weighing light situation, cause image conformity poor, the most black edge margin,
It is not easy to the identification of fingerprint characteristic.The embodiment of the present invention proposes to make fingerprint image more by uniform quantization algorithm
It is clear to add, and feature becomes apparent from, and improves unlocked by fingerprint rate.
Embodiments provide a kind of fingerprint image processing method, as it is shown in figure 1, include:
101: obtain pending fingerprint image, obtain the pixel of each pixel in above-mentioned pending fingerprint image
Value；
In the present embodiment, pending fingerprint image is the fingerprint image for target fingerprint image,
Can be that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint image of local device collection acquisition；
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with capacitive
As a example by fingerprint collecting equipment, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.No
This embodiment of the present invention can not made only by same fingerprint image acquisition technology to there being different pixel values
One property limits.
Alternatively, the pending fingerprint image of above-mentioned acquisition includes:
Receive pending fingerprint image, or, collect pending by local fingerprint collecting equipment
Fingerprint image.
In the present embodiment, receive pending fingerprint image, refer to receive the pending finger that other equipment sends
Print image, under fingerprint recognition application scenarios, the executive agent of the present embodiment can be terminal or service
Device；So server can receive the original fingerprint image that the fingerprint collecting equipment of self terminal gathers, eventually
End equipment can also receive the original fingerprint image that fingerprint collecting equipment gathers, or the fingerprint of other-end
The original fingerprint image that collecting device gathers.
Alternatively, in the above-mentioned pending fingerprint image of above-mentioned acquisition, the pixel value of each pixel includes:
Fingerprint collecting equipment gathers the electric capacity of each pixel in the fingerprint image that above-mentioned pending fingerprint image obtains
Value, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can to there being different pixel values, because of
This, with the pixel value as a example by capacitance, or the weighted value of capacitance, should not be construed as the embodiment of the present invention
Uniqueness limit.
102: the pixel value of foundation target pixel points, and the pixel adjacent with above-mentioned target pixel points
Pixel value, calculates the grey decision-making of above-mentioned target pixel points；Above-mentioned target pixel points belongs to above-mentioned pending finger
Pixel in print image；
Grey decision-making be pixel the darkest black to the brightest white between brightness hierarchical relationship；Grasp at form
Making in system, usually 256 rank, figure place is 8, a value in every single order corresponding 0～255, claims
For grey decision-making.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned depend on
According to the pixel value of target pixel points, and the pixel value of the pixel adjacent with above-mentioned target pixel points, meter
The grey decision-making counting stating target pixel points in includes:
Determine the central point pixel value in the default size contiguous range of described target pixel points, maximum pixel
Value and minimum pixel value；
The grey decision-making calculating above-mentioned target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big 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, it is positioned at central point
The pixel value of pixel be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is
Big pixel value, the pixel value that the pixel of pixel value minimum is corresponding is minimum pixel value.Real by the present invention
The calculation executing example can take into full account the difference between pixel and surrounding pixel point, so that it is determined that one
Individual relatively reasonable grey decision-making.
Alternatively, the pixel that above-mentioned and above-mentioned target pixel points is adjacent includes:
N*n pixel of point centered by above-mentioned target pixel points, above-mentioned n is the odd number more than 1.
In the present embodiment, n value is the odd number more than 1, and target pixel points so can be made to be positioned at participation
The center that grey decision-making calculates, is conducive to accurately determining the grey decision-making of target pixel points；Wherein n is usual
Value can be 3 or 5, it is also possible to be other values；Less n can improve computational efficiency, bigger
N can make fingerprint image more equalize, both balances, can use 5 or 7 as the relatively figure of merit.
103: in being calculated above-mentioned pending fingerprint image after the grey decision-making of each pixel, determine above-mentioned
The progression of the grey decision-making of pending fingerprint image；
Gray scale is the black of the different saturation on the basis of black, there are differences between gray scale, by 100%
Saturation between black and 0% black (white) is divided into multiple level, then each saturation can be right
One of them level should be arrived, be grey decision-making；The quantity of one all different grey decision-making related to of image is i.e.
Progression for grey decision-making.Using binary system in field of computer technology at present, grey decision-making figure place represents,
Assuming that figure place is m, then m power the GTG of 2 can be had to be expressed.Such as: 8 can represent
256 grey decision-making.Understand based on described above: the progression of grey decision-making can set, however it is not limited to one
Individual fixed value.
104: improve the progression of the grey decision-making of above-mentioned pending fingerprint image, by above-mentioned pending fingerprint image
Be converted to target fingerprint image.
In the present embodiment, the least so this pending fingerprint of the progression of the grey decision-making of pending fingerprint image
Difference between the vegetarian refreshments of image can be the least, and the feature of pending fingerprint image will be inconspicuous；So this
The progression of Shi Tigao grey decision-making, it will make the feature of pending fingerprint image become apparent from；At the present embodiment
In, the mode of interpolation arithmetic can be used to realize the figure place by improving pixel value.
The embodiment of the present invention, by the process of the pixel value to pending fingerprint image, it is thus achieved that each pixel
The grey decision-making of value, and determined therefrom that the progression of the grey decision-making of this pending fingerprint image, should by improving
The progression of the grey decision-making of pending fingerprint image obtains target fingerprint image, can make target fingerprint image
Relative to pending fingerprint image closer to real fingerprint image, and make the feature of target fingerprint image
The most prominent, thus be conducive to improve fingerprint image discrimination, and further be conducive to unblock rate and
The raising of authentication efficiency.
The embodiment of the present invention may be used for the application scenarios of initial registration fingerprint template, it is also possible to is applied to refer to
The application scenarios of stricture of vagina identification, based on different application scenarios, the data of target fingerprint image have different places
Reason mode, specific as follows: after obtaining above-mentioned target fingerprint image, said method also includes:
Store the data of above-mentioned target fingerprint image, as registered fingerprint template；
Or, use above-mentioned target fingerprint image and the registered fingerprint template prestored compared.
The fingerprint image of the embodiment of the present invention processes the application scenarios that can apply to fingerprint recognition, its middle finger
The application scenarios of stricture of vagina identification can comprise payment, interface unlocking and application function and unlock, or other
Meaning may use the application scenarios of fingerprint recognition, and therefore the applicating example of the embodiment of the present invention should not be construed as
The uniqueness of the embodiment of the present invention is limited, specific as follows: to use above-mentioned target fingerprint image and prestoring
Registered fingerprint template compare after, said method also includes:
If comparison result is for being verified, unlock the operation corresponding corresponding to above-mentioned registered fingerprint template；On
The operation stating registered fingerprint template corresponding includes: obligation authority solution latching operation, terminal interface solution latching operation with
And any one in application permission solution latching operation.
The fingerprint chip of fingerprint collecting equipment is generally divided into two kinds, and one is that polarization is square, such as 6*6 face
Long-pending, one is inclined rectangle, such as 4*10 area, in whole fingerprint module design, and foursquare core
It is often square and circular that sheet is packaged into module, and rectangle fingerprint chip will be packaged into rectangle.
Be illustrated in fig. 2 shown below is exactly that one side of occurring when strip fingerprint chip presses of user is gently while weight (left side
Gently, right side weight), the fingerprint image caused is uneven, at circular and square fingerprint module, also there will be
Same similar uneven phenomenon.Can cause unlocking mortality to improve.
Feature based on fingerprint, the embodiment of the present invention defines two category features of fingerprint to carry out testing of fingerprint
Card: general characteristic and local feature.General characteristic refer to those with human eye directly it is observed that spy
Levy, including: basic grain pattern ring-like (loop), arcuate (arch), screw type (whorl).Locally
Feature is owing to fingerprint lines is not continuous print, is not smooth straight, but often occur interrupt,
Bifurcated or discounting.These breakpoints, bifurcation and turning point are known as " node ".It is exactly that these nodes provide
The confirmation nodal properties of fingerprint uniqueness, the namely 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: have
Concentric circular or spiral streakline, it appears that as whirlpool in water, be whorl；Some streaklines are openings at one side
, i.e. as dustpan, it is loop；As some stricture of vagina images bow, it is archwire stricture of vagina.Each one fingerprint
In addition to shape difference, the number of stricture of vagina shape, length are the most different.As it is shown on figure 3, be whorl.This is
One fingerprint image result the most outstanding, become apparent from compared to the fingerprint image characteristics shown in Fig. 2 and
Clearly.
The basic grain pattern of fingerprint, is that subcutaneous tissue creates this not to the difference in pressure direction, finger belly epidermis top
Same type.Research shows, if someone is 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 that fingerprint chip internal is by m*n array
As pixel (pixel) composition, as shown in Figure 4, shown in dotted line frame, region is fingerprint chip, in Fig. 4
Array has 56*192, and one has 10752 pixel points, during fingerprint collecting, can collect 10752
Individual pixel value, corresponding each pixel value can be presented by the form of image；
Finger down fingerprint module surface when, each pixel point is with forming electric capacity between finger surface
Value, capacitance can be different according to the peak valley difference of fingerprint, because referring to that summit is near with pixel point distance, and
Refer to that paddy can be a little further.Fingerprint module can be concavo-convex according to the capacitance size formation one of 10752 pixels
Uneven three-dimensional surface, the fingerprint image simulated by this three-dimensional surface.
Because the finger peak of finger and refer to paddy direct range difference the least, the peak-to-peak value of pixel value relative to
The meansigma methods of pixel is the least, the change of typically less than 5%, so the picture quality obtained is excessively poor, and one
Sheet is pitch-black, and black and white cannot be distinguished by, after the matching performance of fingerprint well imagine.
User unlocked by fingerprint when, press overweight or kick the beam all can cause not fogging clear, unlock
Mortality promotes, and also user is pressing strip fingerprint module when, easily occurs weighing
Light situation, causes image conformity poor, a black edge margin, is not easy to the identification of fingerprint characteristic.
In order to solve above technical problem, the embodiment of the present invention is by (the most pending to original fingerprint image
Fingerprint image) carry out GTG quantification treatment, before introducing GTG quantification treatment, first introduce ash
The rank impact on fingerprint image.
GTG refer to the darkest black to the brightest white between brightness hierarchical relationship.Comparison of light and shade and black and white face
Performance in terms of colour transition, image is the most clear, excessively gets over nature the best.Illustrate.On GTG
Face, uses the performance of 32 grades of GTGs and 256 grades of GTGs to contrast, as shown in Figure 5.At 32 grades of ashes
Rank, almost all can distinguish the most at the same level between the difference of shade, entire image uniformity is more
Good.
As shown in Figure 6, being 256 grades of GTGs, in 256 grades of GTGs, color restoration capability has had brighter
Aobvious raising, the upper left corner only has minority GTG and can not clearly differentiate, and the excessive scope of color-grading is relatively wide,
Contrast is more preferably.It addition, GTG is difficult to differentiate a portion reason is the human eye identification energy to color
Power, will not suffer from this for equipment.
Embodiment of the present invention method flow is illustrated, as it is shown in fig. 7, specific as follows, including:
701: each pixel point takes 3*3 pixel point around and forms neighborhood；
In the present embodiment, 3*3 is only other neighborhoods such as citing, 5*5 or 7*7.
702: the pixel point in this neighborhood is entered line number Neo-Confucianism statistics；
703: if the pixel data of these 9 points, count maximum (max) value, minimum (min)
Value and centerpoint value；
704: calculate grey decision-making=255* (centerpoint value-min)/(max-min) of this centre of neighbourhood point；
It is understood that grey decision-making should be integer herein, if calculated value has decimal so to need
It rounded and to be converted to grey decision-making.
705: test out the grey decision-making of all pixel point；
706: grey decision-making is carried out progression quantization, from harmonic series to premium volume, such as it is originally 6
Being quantified as 8 GTGs, the definition of image more preferably, is more nearly actual fingerprint, improves fingerprint and correctly solves
Lock rate.
In the present embodiment, specifically from harmonic series to the mode of premium volume can be improve for representing
The figure place of the pixel value of pixel, then uses the pixel value after improving figure place to participate in calculating grey decision-making；Separately
In the formula of outer above-mentioned calculating grey decision-making, the value of 255 can determine according to the maximum series of the grey decision-making set.
As shown in Figure 8, it is the fingerprint image processed through embodiment of the present invention scheme, whole fingerprint image
More uniform, no longer show as the situation that weight differs, fingerprint characteristic becomes apparent from.
The embodiment of the present invention additionally provides a kind of fingerprint image processing equipment, as it is shown in figure 9, include:
Pixel value acquiring unit 901, is used for obtaining pending fingerprint image, obtains above-mentioned pending fingerprint image
The pixel value of each pixel in Xiang；
Grey decision-making computing unit 902, for according to the pixel value of target pixel points, and with above-mentioned target picture
The pixel value of the pixel that vegetarian refreshments is adjacent, calculates the grey decision-making of above-mentioned target pixel points；Above-mentioned object pixel
Point belongs to the pixel in above-mentioned pending fingerprint image；
Progression determines unit 903, for being calculated above-mentioned pending fingerprint image at above-mentioned GTG computing unit
In Xiang after the grey decision-making of each pixel, determine the progression of the grey decision-making of above-mentioned pending fingerprint image；
Image conversion unit 904, for improving the progression of the grey decision-making of above-mentioned pending fingerprint image, by upper
State pending fingerprint image and be converted to target fingerprint image.
In the present embodiment, pending fingerprint image is the fingerprint image for target fingerprint image,
Can be that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint image of local device collection acquisition；
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with capacitive
As a example by fingerprint collecting equipment, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.No
This embodiment of the present invention can not made only by same fingerprint image acquisition technology to there being different pixel values
One property limits.
The embodiment of the present invention, by the process of the pixel value to pending fingerprint image, it is thus achieved that each pixel
The grey decision-making of value, and determined therefrom that the progression of the grey decision-making of this pending fingerprint image, should by improving
The progression of the grey decision-making of pending fingerprint image obtains target fingerprint image, can make target fingerprint image
Relative to pending fingerprint image closer to real fingerprint image, and make the feature of target fingerprint image
The most prominent, thus be conducive to improve fingerprint image discrimination, and further be conducive to unblock rate and
The raising of authentication efficiency.
Alternatively, above-mentioned pixel value acquiring unit 901, gather above-mentioned specifically for obtaining fingerprint collecting equipment
The capacitance of each pixel in the fingerprint image that pending fingerprint image obtains, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can to there being different pixel values, because of
This, with the pixel value as a example by capacitance, or the weighted value of capacitance, should not be construed as the embodiment of the present invention
Uniqueness limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned ash
Rank value computing unit 902, in determining in the default size contiguous range of described target pixel points
Heart point pixel value, max pixel value and minimum pixel value；
The grey decision-making calculating above-mentioned target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big 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, it is positioned at central point
The pixel value of pixel be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is
Big pixel value, the pixel value that the pixel of pixel value minimum is corresponding is minimum pixel value.Real by the present invention
The calculation executing example can take into full account the difference between pixel and surrounding pixel point, so that it is determined that one
Individual relatively reasonable grey decision-making.
Alternatively, the pixel that above-mentioned and above-mentioned target pixel points is adjacent includes:
N*n pixel of point centered by above-mentioned target pixel points, above-mentioned n is the odd number more than 1.
In the present embodiment, n value is the odd number more than 1, and target pixel points so can be made to be positioned at participation
The center that grey decision-making calculates, is conducive to accurately determining the grey decision-making of target pixel points；Wherein n is usual
Value can be 3 or 5, it is also possible to be other values；Less n can improve computational efficiency, bigger
N can make fingerprint image more equalize, both balances, can use 5 or 7 as the relatively figure of merit.
Alternatively, above-mentioned pixel value acquiring unit 901, specifically for receiving pending fingerprint image, or,
Pending fingerprint image is collected by local fingerprint collecting equipment.
In the present embodiment, receive pending fingerprint image, refer to receive the pending finger that other equipment sends
Print image, under fingerprint recognition application scenarios, the executive agent of the present embodiment can be terminal or service
Device；So server can receive the original fingerprint image that the fingerprint collecting equipment of self terminal gathers, eventually
End equipment can also receive the original fingerprint image that fingerprint collecting equipment gathers, or the fingerprint of other-end
The original fingerprint image that collecting device gathers.
The embodiment of the present invention may be used for the application scenarios of initial registration fingerprint template, it is also possible to is applied to refer to
The application scenarios of stricture of vagina identification, based on different application scenarios, the data of target fingerprint image have different places
Reason mode, specific as follows: as shown in Figure 10 or as shown in figure 11, the said equipment also includes: storage
Unit 1001 or comparing unit 1101；
Said memory cells 1001, for obtaining above-mentioned target fingerprint figure in above-mentioned image conversion unit 904
As afterwards, store the data of above-mentioned target fingerprint image, as registered fingerprint template；
Or, above-mentioned comparing unit 1101, obtain above-mentioned target for above-mentioned image conversion unit 904 and refer to
After print image, use above-mentioned target fingerprint image and the registered fingerprint template prestored is compared.
The fingerprint image of the embodiment of the present invention processes the application scenarios that can apply to fingerprint recognition, its middle finger
The application scenarios of stricture of vagina identification can comprise payment, interface unlocking and application function and unlock, or other
Meaning may use the application scenarios of fingerprint recognition, and therefore the applicating example of the embodiment of the present invention should not be construed as
Limiting the uniqueness of the embodiment of the present invention, specific as follows: as shown in figure 12, the said equipment also includes:
Unlock control unit 1201, for above-mentioned comparing unit 1101 use above-mentioned target fingerprint image with
After the registered fingerprint template prestored is compared, if comparison result is for being verified, unlock corresponding to upper
State the operation that registered fingerprint template is corresponding；Operation corresponding to above-mentioned registered fingerprint template includes: obligation authority
Solve in latching operation, terminal interface solution latching operation and application permission solution latching operation any one.
The embodiment of the present invention additionally provides a kind of terminal unit, as shown in figure 13, including: processor 1301
And memorizer 1302；Wherein memorizer 1302 may be used for processor 1301 and performs data and process required
The caching wanted, it is also possible to process the data called and acquisition for providing processor 1301 to perform data
The memory space of result data；As an optional module, terminal unit can also comprise fingerprint collecting and set
Standby 1303；If it should be noted that pending fingerprint image comes from the fingerprint that other equipment gathers
Image, local terminal can not have this fingerprint collecting equipment 1303；
Above-mentioned processor 1301, is used for obtaining pending fingerprint image, obtains above-mentioned pending fingerprint image
In the pixel value of each pixel；According to the pixel value of target pixel points, and with above-mentioned target pixel points phase
The pixel value of adjacent pixel, calculates the grey decision-making of above-mentioned target pixel points；Above-mentioned target pixel points belongs to
Pixel in above-mentioned pending fingerprint image；Each pixel in being calculated above-mentioned pending fingerprint image
After the grey decision-making of point, determine the progression of the grey decision-making of above-mentioned pending fingerprint image；Improve above-mentioned pending
The progression of the grey decision-making of fingerprint image, is converted to target fingerprint image by above-mentioned pending fingerprint image.
In the present embodiment, pending fingerprint image is the fingerprint image for target fingerprint image,
Can be that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint image of local device collection acquisition；
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with capacitive
As a example by fingerprint collecting equipment, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.No
This embodiment of the present invention can not made only by same fingerprint image acquisition technology to there being different pixel values
One property limits.
The embodiment of the present invention, by the process of the pixel value to pending fingerprint image, it is thus achieved that each pixel
The grey decision-making of value, and determined therefrom that the progression of the grey decision-making of this pending fingerprint image, should by improving
The progression of the grey decision-making of pending fingerprint image obtains target fingerprint image, can make target fingerprint image
Relative to pending fingerprint image closer to real fingerprint image, and make the feature of target fingerprint image
The most prominent, thus be conducive to improve fingerprint image discrimination, and further be conducive to unblock rate and
The raising of authentication efficiency.
Alternatively, above-mentioned processor 1301, for obtaining each pixel in above-mentioned pending fingerprint image
Pixel value includes: fingerprint collecting equipment gathers each picture in the fingerprint image that above-mentioned pending fingerprint image obtains
The capacitance of element, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can to there being different pixel values, because of
This, with the pixel value as a example by capacitance, or the weighted value of capacitance, should not be construed as the embodiment of the present invention
Uniqueness limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned place
Reason device 1301, for the pixel value according to target pixel points, and the picture adjacent with above-mentioned target pixel points
The pixel value of vegetarian refreshments, the grey decision-making calculating above-mentioned target pixel points includes:
Determine the central point pixel value in the default size contiguous range of described target pixel points, maximum pixel
Value and minimum pixel value；
The grey decision-making calculating above-mentioned target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big 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, it is positioned at central point
The pixel value of pixel be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is
Big pixel value, the pixel value that the pixel of pixel value minimum is corresponding is minimum pixel value.Real by the present invention
The calculation executing example can take into full account the difference between pixel and surrounding pixel point, so that it is determined that one
Individual relatively reasonable grey decision-making.
Alternatively, the pixel that above-mentioned and above-mentioned target pixel points is adjacent includes:
N*n pixel of point centered by above-mentioned target pixel points, above-mentioned n is the odd number more than 1.
In the present embodiment, n value is the odd number more than 1, and target pixel points so can be made to be positioned at participation
The center that grey decision-making calculates, is conducive to accurately determining the grey decision-making of target pixel points；Wherein n is usual
Value can be 3 or 5, it is also possible to be other values；Less n can improve computational efficiency, bigger
N can make fingerprint image more equalize, both balances, can use 5 or 7 as the relatively figure of merit.
Alternatively, above-mentioned processor 1301, it is used for obtaining pending fingerprint image and includes:
Receive pending fingerprint image, or, collect pending by local fingerprint collecting equipment
Fingerprint image.
In the present embodiment, receive pending fingerprint image, refer to receive the pending finger that other equipment sends
Print image, under fingerprint recognition application scenarios, the executive agent of the present embodiment can be terminal or service
Device；So server can receive the original fingerprint image that the fingerprint collecting equipment of self terminal gathers, eventually
End equipment can also receive the original fingerprint image that fingerprint collecting equipment gathers, or the fingerprint of other-end
The original fingerprint image that collecting device gathers.
The embodiment of the present invention may be used for the application scenarios of initial registration fingerprint template, it is also possible to is applied to refer to
The application scenarios of stricture of vagina identification, based on different application scenarios, the data of target fingerprint image have different places
Reason mode, specific as follows: above-mentioned processor 1301, it is additionally operable to after obtaining above-mentioned target fingerprint image,
The data of above-mentioned target fingerprint image are stored above-mentioned memorizer 1302, as registered fingerprint template；
Or, use above-mentioned target fingerprint image and the registered fingerprint template prestored compared.
The fingerprint image of the embodiment of the present invention processes the application scenarios that can apply to fingerprint recognition, its middle finger
The application scenarios of stricture of vagina identification can comprise payment, interface unlocking and application function and unlock, or other
Meaning may use the application scenarios of fingerprint recognition, and therefore the applicating example of the embodiment of the present invention should not be construed as
The uniqueness of the embodiment of the present invention is limited, specific as follows: above-mentioned processor 1301, it is additionally operable to using
After above-mentioned target fingerprint image is compared with the registered fingerprint template prestored, if comparison result is checking
Pass through, unlock the operation corresponding corresponding to above-mentioned registered fingerprint template；Above-mentioned registered fingerprint template is corresponding
Operation includes: in obligation authority solution latching operation, terminal interface solution latching operation and application permission solution latching operation
Any one.
The embodiment of the present invention additionally provides another kind of terminal unit, as shown in figure 14, for convenience of description,
Illustrate only the part relevant to the embodiment of the present invention, concrete ins and outs do not disclose, refer to this
Bright embodiment method part.This terminal can be to include mobile phone, panel computer, PDA (Personal Digital
Assistant, personal digital assistant), POS (Point of Sales, point-of-sale terminal), vehicle-mounted computer etc. appoint
Meaning terminal unit, as a example by terminal is as mobile phone:
Figure 14 is illustrated that the block diagram of the part-structure of the mobile phone relevant to the terminal of embodiment of the present invention offer.
With reference to Figure 14, mobile phone includes: radio frequency (Radio Frequency, RF) circuit 1410, memorizer 1420,
Input block 1430, display unit 1440, sensor 1450, voicefrequency circuit 1460, Wireless Fidelity (wireless
Fidelity, WiFi) module 1470, the parts such as processor 1480 and power supply 1490.Art technology
Personnel are appreciated that the handset structure shown in Figure 14 is not intended that the restriction to mobile phone, can include ratio
Illustrate more or less of parts, or combine some parts, or different parts are arranged.
Below in conjunction with Figure 14 each component parts of mobile phone carried out concrete introduction:
RF circuit 1410 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially
Ground, after being received by the downlink information of base station, processes to processor 1480；It addition, by number up for design
According to being sent to base station.Generally, RF circuit 1410 include but not limited to antenna, at least one amplifier,
Transceiver, bonder, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..
Additionally, RF circuit 1410 can also be communicated with network and other equipment by radio communication.Above-mentioned wireless
Communication can use arbitrary communication standard or agreement, includes 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..
Memorizer 1420 can be used for storing software program and module, and processor 1480 is stored by operation
In software program and the module of memorizer 1420, thus perform the application of various functions and the data of mobile phone
Process.Memorizer 1420 can mainly include storing program area and storage data field, wherein, stores program area
Application program (the such as sound-playing function, image needed for operating system, at least one function can be stored
Playing function etc.) etc.；Storage data field can store data (the such as sound that the use according to mobile phone is created
Frequency evidence, phone directory etc.) etc..Additionally, memorizer 1420 can include high-speed random access memory,
Can also include nonvolatile memory, for example, at least one disk memory, flush memory device or its
His volatile solid-state part.
Input block 1430 can be used for receiving numeral or the character information of input, and produces the use with mobile phone
Family is arranged and function controls relevant key signals input.Specifically, input block 1430 can include touch-control
Panel 1431 and other input equipments 1432.Contact panel 1431, also referred to as touch screen, can collect
User thereon or neighbouring touch operation (such as user uses any applicable object such as finger, stylus
Or the operation that adnexa is on contact panel 1431 or near contact panel 1431), and according to presetting
Formula drive corresponding attachment means.Optionally, contact panel 1431 can include touch detecting apparatus and
Two parts of touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect tactile
Touch the signal that operation brings, transmit a signal to touch controller；Touch controller is from touch detecting apparatus
Upper reception touch information, and it is converted into contact coordinate, then give processor 1480, and can receiving area
The reason order sent of device 1480 is also performed.Furthermore, it is possible to use resistance-type, condenser type, infrared ray
And the polytype such as surface acoustic wave realizes contact panel 1431.Except contact panel 1431, input block
1430 can also include other input equipments 1432.Specifically, other input equipments 1432 can include
But it is not limited to physical keyboard, function key (such as volume control button, switch key etc.), trace ball, Mus
One or more in mark, action bars etc..
Display unit 1440 can be used for showing the information inputted by user or the information being supplied to user and hands
The various menus of machine.Display unit 1440 can include display floater 1441, optionally, can use liquid crystal
Display (Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting
Diode, OLED) etc. form configure display floater 1441.Further, contact panel 1431 can cover
Lid display floater 1441, when contact panel 1431 detects thereon or after neighbouring touch operation, transmits
To processor 1480 to determine the type of touch event, with preprocessor 1480 according to the class of touch event
Type provides corresponding visual output on display floater 1441.Although in fig. 14, contact panel 1431
It is to realize input and the input function of mobile phone as two independent parts with display floater 1441, but
In some embodiments it is possible to by integrated to contact panel 1431 and display floater 1441 and realize mobile phone
Input and output function.
Mobile phone may also include at least one sensor 1450, such as optical sensor, motion sensor and its
His sensor.Specifically, optical sensor can include ambient light sensor and proximity transducer, wherein, ring
Border optical sensor can regulate the brightness of display floater 1441, proximity transducer according to the light and shade of ambient light
Display floater 1441 and/or backlight can be closed when mobile phone moves in one's ear.As motion sensor one
Kind, accelerometer sensor can detect the size of (generally three axles) acceleration in all directions, time static
Can detect that size and the direction of gravity, can be used for identify mobile phone attitude application (such as horizontal/vertical screen switching,
Dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；Extremely
The gyroscope that can also configure in mobile phone, barometer, drimeter, thermometer, infrared ray sensor etc. other
Sensor, does not repeats them here.
Voicefrequency circuit 1460, speaker 1461, microphone 1462 can provide the sound between user and mobile phone
Frequently interface.The signal of telecommunication after the voice data conversion that voicefrequency circuit 1460 can will receive, is transferred to raise one's voice
Device 1461, is converted to acoustical signal output by speaker 1461；On the other hand, microphone 1462 will be received
The acoustical signal of collection is converted to the signal of telecommunication, voicefrequency circuit 1460 be converted to voice data after receiving, then will
After voice data output processor 1480 processes, through RF circuit 1410 to be sent to such as another mobile phone,
Or voice data is exported to memorizer 1420 to process further.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user by WiFi module 1470
Sending and receiving e-mail, browse webpage and access streaming video etc., it is mutual that it has provided the user wireless broadband
Internet interview.Although Figure 14 shows WiFi module 1470, but it is understood that, it does not belong to
Must be configured in mobile phone, can omit completely as required in not changing the scope of essence of invention.
Processor 1480 is the control centre of mobile phone, utilizes each of various interface and the whole mobile phone of connection
Individual part, by running or perform to be stored in the software program in memorizer 1420 and/or module, and adjusts
By the data being stored in memorizer 1420, perform the various functions of mobile phone and process data, thus opponent
Machine carries out integral monitoring.Optionally, processor 1480 can include one or more processing unit；Preferably,
Processor 1480 can integrated application processor and modem processor, wherein, application processor is mainly located
Reason operating system, user interface and application program etc., modem processor mainly processes radio communication.
It is understood that above-mentioned modem processor can not also be integrated in processor 1480.
Mobile phone also includes the power supply 1490 (such as battery) powered to all parts, it is preferred that power supply is permissible
Logically contiguous with processor 1480 by power-supply management system, thus realize management by power-supply management system
The functions such as charging, electric discharge and power managed.
Although not shown, mobile phone can also include photographic head, bluetooth module etc., does not repeats them here.
In previous embodiment, each step method flow process can structure based on this terminal unit realize.Wherein
Sensor 1450 or contact panel 1431 can use as fingerprint collecting equipment.
It should be noted that in above-mentioned fingerprint image processing equipment embodiment, included unit is only
Divide according to function logic, but be not limited to above-mentioned division, as long as being capable of corresponding
Function；It addition, the specific name of each functional unit is also only to facilitate mutually distinguish, not
For limiting the scope of the invention.
It addition, one of ordinary skill in the art will appreciate that realize whole in above-mentioned each method embodiment or
Part steps can be by program and completes to instruct relevant hardware, and corresponding program can be stored in one
In kind of computer-readable recording medium, storage medium mentioned above can be read only memory, disk or
CD etc..
These are only the present invention preferably detailed description of the invention, but protection scope of the present invention is not limited to
This, any those familiar with the art, can in the technical scope that the embodiment of the present invention discloses
The change readily occurred in or replacement, all should contain within protection scope of the present invention.Therefore, the present invention
Protection domain should be as the criterion with scope of the claims.
Claims (15)
1. a fingerprint image processing method, it is characterised in that including:
Obtain pending fingerprint image, obtain the pixel value of each pixel in described pending fingerprint image；
According to the pixel value of target pixel points, and the pixel of the pixel adjacent with described target pixel points
Value, calculates the grey decision-making of described target pixel points；Described target pixel points belongs to described pending fingerprint image
Pixel in Xiang；
In being calculated described pending fingerprint image after the grey decision-making of each pixel, determine described in wait to locate
The progression of the grey decision-making of reason fingerprint image；
Improve the progression of the grey decision-making of described pending fingerprint image, described pending fingerprint image is changed
For target fingerprint image.
Method the most according to claim 1, it is characterised in that the described pending fingerprint image of described acquisition
In Xiang, the pixel value of each pixel includes:
Fingerprint collecting equipment gathers the electric capacity of each pixel in the fingerprint image that described pending fingerprint image obtains
Value, or the weighted value of capacitance.
Method the most according to claim 1, it is characterised in that the described pixel according to target pixel points
Value, and the pixel value of the pixel adjacent with described target pixel points, calculate described target pixel points
Grey decision-making includes:
Determine the central point pixel value in the default size contiguous range of described target pixel points, maximum pixel
Value and minimum pixel value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
4. according to method described in claims 1 to 3 any one, it is characterised in that described and described mesh
The pixel that mark pixel is adjacent includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
5. according to method described in claims 1 to 3 any one, it is characterised in that described acquisition waits to locate
Reason fingerprint image includes:
Receive pending fingerprint image, or, collect pending by local fingerprint collecting equipment
Fingerprint image.
6. according to method described in claims 1 to 3 any one, it is characterised in that obtaining described mesh
After mark fingerprint image, described method also includes:
Store the data of described target fingerprint image, as registered fingerprint template；
Or, use described target fingerprint image and the registered fingerprint template prestored compared.
Method the most according to claim 6, it is characterised in that use described target fingerprint image with
After the registered fingerprint template prestored is compared, described method also includes:
If comparison result is for being verified, unlock the operation corresponding corresponding to described registered fingerprint template；Institute
The operation stating registered fingerprint template corresponding includes: obligation authority solution latching operation, terminal interface solution latching operation with
And any one in application permission solution latching operation.
8. a fingerprint image processing equipment, it is characterised in that including:
Pixel value acquiring unit, is used for obtaining pending fingerprint image, obtains described pending fingerprint image
In the pixel value of each pixel；
Grey decision-making computing unit, for according to the pixel value of target pixel points, and with described object pixel
The pixel value of the pixel that point is adjacent, calculates the grey decision-making of described target pixel points；Described target pixel points
Belong to the pixel in described pending fingerprint image；
Progression determines unit, for being calculated described pending fingerprint image at described GTG computing unit
In each pixel grey decision-making after, determine the progression of the grey decision-making of described pending fingerprint image；
Image conversion unit, for improving the progression of the grey decision-making of described pending fingerprint image, by described
Pending fingerprint image is converted to target fingerprint image.
Equipment the most according to claim 8, it is characterised in that
Described pixel value acquiring unit, gathers described pending fingerprint specifically for obtaining fingerprint collecting equipment
The capacitance of each pixel in the fingerprint image that image obtains, or the weighted value of capacitance.
Equipment the most according to claim 8, it is characterised in that
Described grey decision-making computing unit, specifically for determining the default big small neighbourhood model of described target pixel points
Central point pixel value, max pixel value and minimum pixel value in enclosing；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(
Big pixel value-minimum pixel value), wherein 200≤A≤255.
11. according to Claim 8 to equipment described in 10 any one, it is characterised in that described and described
The pixel that target pixel points is adjacent includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
12. according to Claim 8 to equipment described in 10 any one, it is characterised in that
Described pixel value acquiring unit, specifically for receiving pending fingerprint image, or, by this locality
Fingerprint collecting equipment collects pending fingerprint image.
13. according to Claim 8 to equipment described in 10 any one, it is characterised in that described equipment is also
Including: memory element or comparing unit；
Described memory element, after obtaining described target fingerprint image in described image conversion unit,
Store the data of described target fingerprint image, as registered fingerprint template；
Or, described comparing unit, for described image conversion unit obtain described target fingerprint image it
After, use described target fingerprint image and the registered fingerprint template prestored is compared.
14. according to equipment described in claim 13, it is characterised in that described equipment also includes:
Unlock control unit, for using described target fingerprint image and the note prestored at described comparing unit
After volume fingerprint template is compared, if comparison result is for being verified, unlocks and refer to corresponding to described registration
The operation that stricture of vagina template is corresponding；Operation corresponding to described registered fingerprint template includes: obligation authority solution latching operation,
Any one in terminal interface solution latching operation and application permission solution latching operation.
15. 1 kinds of terminal units, including: processor and memorizer, wherein said processor is used for performing
Method described in claim 1 to 7 any one.
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| CN201610301972.3A CN105956564B (en) | 2016-05-06 | 2016-05-06 | A kind of fingerprint image processing method and equipment |
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| CN201610301972.3A CN105956564B (en) | 2016-05-06 | 2016-05-06 | A kind of fingerprint image processing method and equipment |
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