CN106056073A - Fingerprint unlocking method and device - Google Patents
Fingerprint unlocking method and device Download PDFInfo
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- CN106056073A CN106056073A CN201610369580.0A CN201610369580A CN106056073A CN 106056073 A CN106056073 A CN 106056073A CN 201610369580 A CN201610369580 A CN 201610369580A CN 106056073 A CN106056073 A CN 106056073A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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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
- G06V40/50—Maintenance of biometric data or enrolment thereof
Abstract
The embodiment of the invention discloses a fingerprint unlocking method and device. The method comprises: obtaining an original fingerprint image, and determining the register fingerprint corresponding to the original fingerprint image; performing parallel execution the two following comparison modes: using the original fingerprint image to compare with the register fingerprint; and, firstly, performing feature amplification processing of the original fingerprint image to obtain fingerprint simulation data, then using the fingerprint simulation data to compare with the register fingerprint; and if the comparison result of any one of the two comparison modes is passed, ending the other one comparison mode. High unlocking success rate can be obtained through parallel execution of two fingerprint unlocking modes; besides, in the condition of considering the high-quality original fingerprint image, a low-complexity comparison algorithm is employed so as to save the time of fingerprint unlocking and improve the fingerprint unlocking efficiency.
Description
Technical field
The present invention relates to field of computer technology, particularly to a kind of unlocked by fingerprint 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 on abdomen by recessed
The lines that convex skin is formed.Fingerprint can make hands increase frictional force when contact subject, thus is easier to have an effect and promptly thing
Part.It is self-assembling formation in human evolution's process type.Fingerprint is that human finger's end refers to be formed by concavo-convex skin on abdomen
Lines, owing to the fingerprint of people is that nature-nurture is coefficient, it is the most closely related with health, thus fingerprint everybody
All have, the most different, owing to fingerprint repetitive rate is minimum, about 1/15000000000th, therefore it is referred to as " human body identity card ".Just
This feature based on 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 recognition is not only
May be used for the unblock of mobile terminal and the function such as wake up up, being also the important ring of mobile payment.Fingerprint pays and is meeting user
While 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.
The fingerprint image that somatic fingerprint is original is read by fingerprint reading systems；The original fingerprint obtained due to fingerprint collecting
Image may the most unintelligible characteristic point inconspicuous, therefore before fingerprint matching, the original fingerprint image collected can be carried out
Feature processing and amplifying makes characteristic point become apparent from, thus improves fingerprint recognition success rate；Then the fingerprint after using feature to amplify
Image carries out Feature Points Matching with the registered fingerprint template pre-saved, and is unlocked after the match is successful.Equipment is from reading
Fingerprint image is referred to as unlocked time to the time needed for unlocking successfully.
The speed of unlocked time directly influences user and uses the efficiency of equipment, more sensitive etc. especially for some
Treat that the time is the most such.How shortening unlocked time becomes, from improving unlocked by fingerprint efficiency, the important directions that technical staff studies.
Summary of the invention
Embodiments provide a kind of unlocked by fingerprint method and equipment, be used for improving unlocked by fingerprint efficiency.
On the one hand a kind of unlocked by fingerprint method is embodiments provided, including:
Obtain original fingerprint image, and determine and the registered fingerprint corresponding to described original fingerprint image；
Executed in parallel following two alignments: use described original fingerprint image to compare with described registered fingerprint；
And, first described original fingerprint image is carried out feature processing and amplifying and obtain fingerprint analog data, then use described fingerprint
Analog data is compared with described registered fingerprint；
If the arbitrary alignments comparison result in both the above alignments is for passing through, terminate another alignments.
In an optional implementation, described described original fingerprint image is carried out feature processing and amplifying obtain fingerprint
Analog data, including:
Obtain the pixel value of each pixel in described original fingerprint image；
According to the pixel value of target pixel points, and the pixel value of the pixel adjacent with described target pixel points, calculate
The grey decision-making of described target pixel points；Described target pixel points belongs to the pixel in described original fingerprint image；
In being calculated described original fingerprint image after the grey decision-making of each pixel, determine described original fingerprint image
The progression of grey decision-making；
Improve the progression of the grey decision-making of described original fingerprint image, described original fingerprint image is converted to fingerprint simulation number
According to.
In an optional implementation, the pixel value bag of each pixel in described acquisition described original fingerprint image
Include:
Fingerprint collecting equipment gathers the capacitance of each pixel in the fingerprint image that described original fingerprint image obtains, or electric capacity
The weighted value of value.
In an optional implementation, the described pixel value according to target pixel points, and with described object pixel
The pixel value of the pixel that point 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, max pixel value and
Small pixel value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.
In an optional 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 an optional implementation, described acquisition original fingerprint image includes:
Receive original fingerprint image, or, collect original fingerprint image by local fingerprint collecting equipment.
The embodiment of the present invention two aspect provides a kind of unlocked by fingerprint equipment, including:
Fingerprint acquiring unit, is used for obtaining original fingerprint image；
Fingerprint determines unit, for determining and the registered fingerprint corresponding to described original fingerprint image；
Fingerprint processing unit, obtains fingerprint analog data for described original fingerprint image is carried out feature processing and amplifying；
Fingerprint comparison unit, for executed in parallel following two alignments: use described original fingerprint image with described
Registered fingerprint is compared；And, use described fingerprint analog data to compare with described registered fingerprint；If both the above ratio
To the arbitrary alignments comparison result in mode for passing through, terminate another alignments.
In an optional implementation, described fingerprint processing unit, including:
Pixel value acquiring unit, for obtaining the pixel value of each pixel in described original fingerprint image；
Grey decision-making computing unit, for the pixel value according to target pixel points and adjacent with described target pixel points
The pixel value of pixel, calculates the grey decision-making of described target pixel points；Described target pixel points belongs to described original fingerprint image
In pixel；
Progression determines unit, for after the grey decision-making of each pixel, determining in being calculated described original fingerprint image
The progression of the grey decision-making of described original fingerprint image；
Image conversion unit, for improving the progression of the grey decision-making of described original fingerprint image, by described original fingerprint figure
As being converted to fingerprint analog data.
In an optional implementation, described pixel value acquiring unit, adopt specifically for obtaining fingerprint collecting equipment
Collect the capacitance of each pixel in the fingerprint image that described original fingerprint image obtains, or the weighted value of capacitance.
In an optional implementation, described grey decision-making computing unit, specifically for determining described target pixel points
Default size contiguous range in central point pixel value, max pixel value and minimum pixel value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(maximum pixel
Value-minimum pixel value), wherein 200≤A≤255.
In an optional 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 an optional implementation, described fingerprint acquiring unit, specifically for receiving original fingerprint image, or
Person, collects original fingerprint image by local fingerprint collecting equipment.
The three aspect embodiment of the present invention additionally provide a kind of terminal unit, including: processor and memorizer, wherein said place
Reason device 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 due to latter unlocked by fingerprint side
Formula amount of calculation is bigger, and therefore first former unlocked by fingerprint mode can terminate, but second-rate due to original fingerprint image
None-identified can be caused.Therefore latter approach can solve the unlocked by fingerprint failure in this case caused.Executed in parallel two
Plant unlocked by fingerprint mode and can obtain higher unblock success rate, additionally take into account the situation that original fingerprint picture quality is higher
Under, use the alignment algorithm of lower complexity, thus save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, in embodiment being described below required for make
Accompanying drawing briefly introduce, it should be apparent that, below describe in accompanying drawing be only some embodiments of the present invention, for this
From the point of view of the those of ordinary skill in field, on the premise of not paying creative work, it is also possible to obtain it according to these accompanying drawings
His accompanying drawing.
Fig. 1 is embodiment of the present invention method flow schematic diagram；
Fig. 2 is embodiment of the present invention fingerprint chip structure schematic diagram；
Fig. 3 is 32 grades of GTG schematic diagrams of the embodiment of the present invention；
Fig. 4 is 256 grades of GTG schematic diagrams of the embodiment of the present invention；
Fig. 5 is embodiment of the present invention fingerprint image schematic diagram；
Fig. 6 is embodiment of the present invention method flow schematic diagram；
Fig. 7 is embodiment of the present invention fingerprint image schematic diagram；
Fig. 8 is embodiment of the present invention unlocked by fingerprint device structure schematic diagram；
Fig. 9 is embodiment of the present invention unlocked by fingerprint device structure schematic diagram；
Figure 10 is embodiment of the present invention terminal unit structural representation；
Figure 11 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 the present invention made into
One step ground describes in detail, it is clear that described embodiment is only some embodiments of the present invention rather than whole enforcement
Example.Based on the embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
All other embodiments, broadly fall into the scope of protection of the invention.
Embodiments provide a kind of unlocked by fingerprint method, as it is shown in figure 1, include:
101: obtain original fingerprint image, and determine and the registered fingerprint corresponding to above-mentioned original fingerprint image；
In the present embodiment, original fingerprint image is the fingerprint image for subsequent fingerprint analog data, permissible
It is that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint image of local device collection acquisition；Registered fingerprint is storage
Compare used fingerprint for user being inputted fingerprint local, it is common that preset by user, corresponding to behaviour
Make the certification of authority.
102: executed in parallel following two alignments: use above-mentioned original fingerprint image to compare with above-mentioned registered fingerprint
Right；And, first above-mentioned original fingerprint image is carried out feature processing and amplifying and obtain fingerprint analog data, then use above-mentioned finger
Stricture of vagina analog data is compared with above-mentioned registered fingerprint；
In the present embodiment, for hands wet with perspiration or hands dry especially, for this kind of user, their unlocked by fingerprint success
Rate can be the lowest；But for the user that those are more moderate, use original fingerprint image also to have higher unlocked by fingerprint and become
Power.Executed in parallel both the above alignments, have employed two kinds of unlocked by fingerprint modes, for different users the most simultaneously
Speech, both the above unlocked by fingerprint mode can't be passed through in comparison simultaneously.
103: if the arbitrary alignments comparison result in both the above alignments is for passing through, terminates another and compare the other side
Formula.
In embodiments of the present invention, owing to latter unlocked by fingerprint mode amount of calculation is bigger, therefore former unlocked by fingerprint
First mode can terminate, but owing to the second-rate meeting of original fingerprint image causes None-identified.Therefore latter approach can
To solve the unlocked by fingerprint failure in this case caused.Two kinds of unlocked by fingerprint modes of executed in parallel can obtain higher unblock
Success rate, additionally take into account original fingerprint picture quality higher in the case of, use the alignment algorithm of lower complexity, thus save
Save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
Feature in the embodiment of the present invention amplifies to comprise makes fingerprint image become relatively sharp, feature become apparent from
And fingerprint image is carried out all image processing algorithms repairing acquisition closer to real fingerprint image, this gives
One of them is preferably illustrated, specific as follows: above-mentioned above-mentioned original fingerprint image is carried out feature processing and amplifying obtain fingerprint mould
Intend data, including:
Obtain the pixel value of each pixel in above-mentioned original fingerprint image；
According to the pixel value of 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；Above-mentioned target pixel points belongs to the pixel in above-mentioned original fingerprint image；
In being calculated above-mentioned original fingerprint image after the grey decision-making of each pixel, determine above-mentioned original fingerprint image
The progression of grey decision-making；
Improve the progression of the grey decision-making of above-mentioned original fingerprint image, above-mentioned original fingerprint image is converted to fingerprint simulation number
According to.
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with capacitive fingerprint
As a example by collecting device, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.Different fingerprint image acquisition skills
This embodiment of the present invention can not made uniqueness limit there being different pixel values by art.
Grey decision-making be pixel the darkest black to the brightest white between brightness hierarchical relationship；At Windows
In, usually 256 rank, figure place is 8, a value in every single order corresponding 0～255, referred to as grey decision-making.
Gray scale is the black of the different saturation on the basis of black, there are differences between gray scale, by 100% black with
Saturation between 0% black (white) is divided into multiple level, then each saturation can correspond to one of them level, is
Grey decision-making；The quantity of one all different grey decision-making related to of image is the progression of grey decision-making.At present in computer technology
Field uses binary system, and grey decision-making figure place represents, it is assumed that figure place is m, then m power the GTG of 2 can be had to be expressed.Example
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 fixed value.
The embodiment of the present invention, by the process of the pixel value to original fingerprint image, it is thus achieved that the grey decision-making of each pixel value,
And determined therefrom that the progression of the grey decision-making of this original fingerprint image, by improving the progression of the grey decision-making of this original fingerprint image
Obtain fingerprint analog data, fingerprint analog data can be made closer to real fingerprint image relative to original fingerprint image
Picture, and make the feature of fingerprint analog data the most prominent, thus be conducive to improving the discrimination of fingerprint image, and the most favourable
In unblock rate and the raising of authentication efficiency.
Alternatively, in above-mentioned acquisition above-mentioned original fingerprint image, the pixel value of each pixel includes:
Fingerprint collecting equipment gathers the capacitance of each pixel in the fingerprint image that above-mentioned original fingerprint image obtains, or electric capacity
The weighted value of value.
It is understood that different fingerprint image acquisition technology can be to there being different pixel values, therefore with electric capacity
Value, or the pixel value as a example by the weighted value of capacitance, should not be construed as the uniqueness to the embodiment of the present invention and limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned according to 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 the central point pixel value in the default size contiguous range of above-mentioned target pixel points, max pixel value and
Small pixel value；
The grey decision-making 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, it is positioned at the pixel of central point
Pixel value be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is max pixel value, and pixel value is minimum
Pixel value corresponding to pixel be minimum pixel value.Pixel can be taken into full account by the calculation of the embodiment of the present invention
And the difference between surrounding pixel point, a so that it is determined that 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 grey decision-making meter
The center calculated, is conducive to accurately determining the grey decision-making of target pixel points；Wherein the common value of n can be 3 or 5, it is possible to
To be other values；Less n can improve computational efficiency, and bigger n can make fingerprint image more equalize, both balances,
Can use 5 or 7 as the relatively figure of merit.
Alternatively, above-mentioned acquisition original fingerprint image includes:
Receive original fingerprint image, or, collect original fingerprint image by local fingerprint collecting equipment.
In the present embodiment, obtain original fingerprint image, refer to receive the original fingerprint image that other equipment sends, at fingerprint
Identify that under application scenarios, the executive agent of the present embodiment can be terminal unit or server；So server can receive
The original fingerprint image gathered from the fingerprint collecting equipment of terminal unit, terminal unit can also receive fingerprint collecting equipment and adopt
The original fingerprint image of collection, or the original fingerprint image that the fingerprint collecting equipment of other-end gathers.
In embodiments of the present invention, fingerprint collecting equipment is main is gone to gather fingerprint image, fingerprint image by fingerprint chip
The principle obtained is that fingerprint chip internal is made up of pixel (pixel) as m*n array, as in figure 2 it is shown, shown in dotted line frame
Region is fingerprint chip, and the array in Fig. 2 has 56*192, and one has 10752 pixel points, during fingerprint collecting, can adopt
Collecting to 10752 pixel values, corresponding each pixel value can be presented by the form of image；
Finger down fingerprint chip surface when, each pixel point is with forming capacitance, electric capacity between finger surface
Value 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 core
Sector-meeting forms a rough three-dimensional surface according to the capacitance size of 10752 pixels, is simulated by this three-dimensional surface
Fingerprint image.
Because the finger peak of finger and finger paddy direct range difference are the least, the peak-to-peak value of pixel value putting down relative to pixel
Average is the least, the change of typically less than 5%, 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.
User unlocked by fingerprint when, press overweight or kick the beam all can cause not fogging clear, unlock mortality carry
Rising, also user is pressing strip fingerprint chip when, easily occurs weighing light situation, causes image uniform
Property is poor, and a black edge margin is not easy to the identification of fingerprint characteristic.
In order to solve above technical problem, original fingerprint image (i.e. original fingerprint image) will be entered by the embodiment of the present invention
Row GTG quantification treatment, before introducing GTG quantification treatment, first introduces the GTG 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-white colors transition side
The performance in face, image is the most clear, excessively gets over nature the best.Illustrate.On GTG, use 32 grades of GTGs and 256 grades
The performance of GTG contrasts.As it is shown on figure 3, at 32 grades of GTGs, almost all can distinguish the most at the same level between color deep
Shallow difference, entire image uniformity is more preferably.
As shown in Figure 4, being 256 grades of GTGs, in 256 grades of GTGs, color restoration capability has had more obvious raising, upper left
Angle only has minority GTG and can not clearly differentiate, and the excessive scope of color-grading is relatively wide, and contrast is more preferably.It addition, GTG is difficult to point
Distinguish that a portion reason is the human eye identification ability to color, will not suffer from this for equipment.
The fingerprint chip of fingerprint collecting equipment is generally divided into two kinds, and one is that polarization is square, such as 6*6 area, Yi Zhongshi
Rectangle partially, such as 4*10 area, in whole fingerprint chip designs, foursquare chip package becomes module square often
And circle, and rectangle fingerprint chip will be packaged into rectangle.Be illustrated in fig. 5 shown below is exactly that user is at strip fingerprint chip
The one side occurred during pressing is gently while weight (left side is light, right side weight), and the fingerprint image caused is uneven, at circular and square finger
Stricture of vagina chip, also there will be same similar uneven phenomenon.Can cause unlocking mortality to improve.
Embodiment of the present invention method flow is illustrated, as shown in Figure 6, specific as follows, including:
601: 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.
602: the pixel point in this neighborhood is added up；
603: if the pixel data of these 9 points, count maximum (max) value, minimum (min) value and centerpoint value；
604: 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 and takes
Turn over is changed to grey decision-making.
605: test out the grey decision-making of all pixel point；
606: grey decision-making is carried out progression quantization, from harmonic series to premium volume, such as it is originally that 6 are quantified as 8
GTG, the definition of image more preferably, is more nearly actual fingerprint, improves fingerprint correctly unblock rate.
In the present embodiment, specifically from harmonic series to the mode of premium volume can be improve for representing pixel
The figure place of pixel value, then uses the pixel value after improving figure place to participate in calculating grey decision-making；The calculation of the most above-mentioned calculating grey decision-making
In formula, the value of 255 can determine according to the maximum series of the grey decision-making set.
As it is shown in fig. 7, be the fingerprint image processed through embodiment of the present invention scheme, whole fingerprint image is more uniform,
No longer showing as the situation that weight differs, fingerprint characteristic becomes apparent from.
The embodiment of the present invention additionally provides a kind of unlocked by fingerprint equipment, as shown in Figure 8, and including:
Fingerprint acquiring unit 801, is used for obtaining original fingerprint image；
Fingerprint determines unit 802, for determining and the registered fingerprint corresponding to above-mentioned original fingerprint image；
Fingerprint processing unit 803, obtains fingerprint simulation number for above-mentioned original fingerprint image carries out feature processing and amplifying
According to；
Fingerprint comparison unit 804, for executed in parallel following two alignments: use above-mentioned original fingerprint image with
State registered fingerprint to compare；And, use above-mentioned fingerprint analog data to compare with above-mentioned registered fingerprint；If both the above
Arbitrary alignments comparison result in alignments, for passing through, terminates another alignments.
In the present embodiment, original fingerprint image is the fingerprint image for subsequent fingerprint analog data, permissible
It is that other equipment sends the fingerprint image of coming, it is also possible to be the fingerprint image of local device collection acquisition；Registered fingerprint is storage
Compare used fingerprint for user being inputted fingerprint local, it is common that preset by user, corresponding to behaviour
Make the certification of authority.
In the present embodiment, for hands wet with perspiration or hands dry especially, for this kind of user, their unlocked by fingerprint success
Rate can be the lowest；But for the user that those are more moderate, use original fingerprint image also to have higher unlocked by fingerprint and become
Power.Executed in parallel both the above alignments, have employed two kinds of unlocked by fingerprint modes, for different users the most simultaneously
Speech, both the above unlocked by fingerprint mode can't be passed through in comparison simultaneously.Owing to latter unlocked by fingerprint mode amount of calculation is bigger, because of
First this former unlocked by fingerprint mode can terminate, but owing to the second-rate meeting of original fingerprint image causes None-identified.
Therefore latter approach can solve the unlocked by fingerprint failure in this case caused.Two kinds of unlocked by fingerprint modes of executed in parallel can
To obtain higher unblock success rate, additionally take into account original fingerprint picture quality higher in the case of, use lower complexity
Alignment algorithm, thus save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
Feature in the embodiment of the present invention amplifies to comprise makes fingerprint image become relatively sharp, feature become apparent from
And fingerprint image is carried out all image processing algorithms repairing acquisition closer to real fingerprint image, this gives
One of them is preferably illustrated, specific as follows: as it is shown in figure 9, above-mentioned fingerprint processing unit 803, including:
Pixel value acquiring unit 901, for obtaining the pixel value of each pixel in above-mentioned original fingerprint image；
Grey decision-making computing unit 902, for the pixel value according to target pixel points and adjacent with above-mentioned target pixel points
The pixel value of pixel, calculate the grey decision-making of above-mentioned target pixel points；Above-mentioned target pixel points belongs to above-mentioned original fingerprint figure
Pixel in Xiang；
Progression determines unit 903, is used in being calculated above-mentioned original fingerprint image after the grey decision-making of each pixel, really
The progression of the grey decision-making of fixed above-mentioned original fingerprint image；
Image conversion unit 904, for improving the progression of the grey decision-making of above-mentioned original fingerprint image, by above-mentioned original fingerprint
Image is converted to fingerprint analog data.
Pixel point value, is for measuring the parameter of each pixel in fingerprint image in fingerprint image, with capacitive fingerprint
As a example by collecting device, this pixel value can be capacitance, it is also possible to be the capacitance after weighting.Different fingerprint image acquisition skills
This embodiment of the present invention can not made uniqueness limit there being different pixel values by art.
Grey decision-making be pixel the darkest black to the brightest white between brightness hierarchical relationship；At Windows
In, usually 256 rank, figure place is 8, a value in every single order corresponding 0～255, referred to as grey decision-making.
Gray scale is the black of the different saturation on the basis of black, there are differences between gray scale, by 100% black with
Saturation between 0% black (white) is divided into multiple level, then each saturation can correspond to one of them level, is
Grey decision-making；The quantity of one all different grey decision-making related to of image is the progression of grey decision-making.At present in computer technology
Field uses binary system, and grey decision-making figure place represents, it is assumed that figure place is m, then m power the GTG of 2 can be had to be expressed.Example
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 fixed value.
The embodiment of the present invention, by the process of the pixel value to original fingerprint image, it is thus achieved that the grey decision-making of each pixel value,
And determined therefrom that the progression of the grey decision-making of this original fingerprint image, by improving the progression of the grey decision-making of this original fingerprint image
Obtain fingerprint analog data, fingerprint analog data can be made closer to real fingerprint image relative to original fingerprint image
Picture, and make the feature of fingerprint analog data the most prominent, thus be conducive to improving the discrimination of fingerprint image, and the most favourable
In unblock rate and the raising of authentication efficiency.
Alternatively, above-mentioned pixel value acquiring unit 901, gather above-mentioned original 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.
It is understood that different fingerprint image acquisition technology can be to there being different pixel values, therefore with electric capacity
Value, or the pixel value as a example by the weighted value of capacitance, should not be construed as the uniqueness to the embodiment of the present invention and limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned grey decision-making calculates single
Unit 902, specifically for determining central point pixel value in the default size contiguous range of above-mentioned target pixel points, 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)/(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, it is positioned at the pixel of central point
Pixel value be central point pixel value, the pixel value that the maximum pixel of pixel value is corresponding is max pixel value, and pixel value is minimum
Pixel value corresponding to pixel be minimum pixel value.Pixel can be taken into full account by the calculation of the embodiment of the present invention
And the difference between surrounding pixel point, a so that it is determined that 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 grey decision-making meter
The center calculated, is conducive to accurately determining the grey decision-making of target pixel points；Wherein the common value of n can be 3 or 5, it is possible to
To be other values；Less n can improve computational efficiency, and bigger n can make fingerprint image more equalize, both balances,
Can use 5 or 7 as the relatively figure of merit.
Alternatively, above-mentioned acquisition original fingerprint image includes:
Above-mentioned fingerprint acquiring unit 801, specifically for receiving original fingerprint image, or, by local fingerprint collecting
Equipment collects original fingerprint image.
In the present embodiment, obtain original fingerprint image, refer to receive the original fingerprint image that other equipment sends, at fingerprint
Identify that under application scenarios, the executive agent of the present embodiment can be terminal or server；So server can receive from
The original fingerprint image that the fingerprint collecting equipment of terminal gathers, terminal unit can also receive the original of fingerprint collecting equipment collection
Fingerprint image, or the original fingerprint image that the fingerprint collecting equipment of other-end gathers.
The embodiment of the present invention additionally provides a kind of terminal unit, as shown in Figure 10, including: processor 1001 and memorizer
1002；Wherein memorizer 1002 may be used for processor 1001 perform data process required for caching, it is also possible to be used for providing
Processor 1001 performs the memory space that data process the result data of data and the acquisition called；Can modeling as one
Block, terminal unit can also comprise fingerprint collecting equipment 1003；If it should be noted that original fingerprint image comes from it
The fingerprint image that his equipment gathers, local terminal can not have this fingerprint collecting equipment 1003；
Wherein, above-mentioned processor 1001, be used for obtaining original fingerprint image, and determine right with above-mentioned original fingerprint image institute
The registered fingerprint answered；Executed in parallel following two alignments: use above-mentioned original fingerprint image to carry out with above-mentioned registered fingerprint
Comparison；And, first above-mentioned original fingerprint image is carried out feature processing and amplifying and obtain fingerprint analog data, then use above-mentioned
Fingerprint analog data is compared with above-mentioned registered fingerprint；If the arbitrary alignments comparison result in both the above alignments
For passing through, terminate another alignments.
In the present embodiment, for hands wet with perspiration or hands dry especially, for this kind of user, their unlocked by fingerprint success
Rate can be the lowest；But for the user that those are more moderate, use original fingerprint image also to have higher unlocked by fingerprint and become
Power.Executed in parallel both the above alignments, have employed two kinds of unlocked by fingerprint modes, for different users the most simultaneously
Speech, both the above unlocked by fingerprint mode can't be passed through in comparison simultaneously.Owing to latter unlocked by fingerprint mode amount of calculation is bigger, because of
First this former unlocked by fingerprint mode can terminate, but owing to the second-rate meeting of original fingerprint image causes None-identified.
Therefore latter approach can solve the unlocked by fingerprint failure in this case caused.Two kinds of unlocked by fingerprint modes of executed in parallel can
To obtain higher unblock success rate, additionally take into account original fingerprint picture quality higher in the case of, use lower complexity
Alignment algorithm, thus save the time of unlocked by fingerprint, improve unlocked by fingerprint efficiency.
Feature in the embodiment of the present invention amplifies to comprise makes fingerprint image become relatively sharp, feature become apparent from
And fingerprint image is carried out all image processing algorithms repairing acquisition closer to real fingerprint image, this gives
One of them is preferably illustrated, specific as follows: above-mentioned processor 1001, for above-mentioned original fingerprint image is carried out feature amplification
Process obtains fingerprint analog data, including:
For obtaining the pixel value of each pixel in above-mentioned original fingerprint image；
According to the pixel value of 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；Above-mentioned target pixel points belongs to the pixel in above-mentioned original fingerprint image；
In being calculated above-mentioned original fingerprint image after the grey decision-making of each pixel, determine above-mentioned original fingerprint image
The progression of grey decision-making；
Improve the progression of the grey decision-making of above-mentioned original fingerprint image, above-mentioned original fingerprint image is converted to fingerprint simulation number
According to.
The embodiment of the present invention, by the process of the pixel value to original fingerprint image, it is thus achieved that the grey decision-making of each pixel value,
And determined therefrom that the progression of the grey decision-making of this original fingerprint image, by improving the progression of the grey decision-making of this original fingerprint image
Obtain fingerprint analog data, fingerprint analog data can be made closer to real fingerprint image relative to original fingerprint image
Picture, and make the feature of fingerprint analog data the most prominent, thus be conducive to improving the discrimination of fingerprint image, and the most favourable
In unblock rate and the raising of authentication efficiency.
Alternatively, above-mentioned processor 1001, include for obtaining the pixel value of each pixel in above-mentioned original fingerprint image:
For gathering the electric capacity of each pixel in the fingerprint image that above-mentioned original fingerprint image obtains by fingerprint collecting equipment
Value, or the weighted value of capacitance.
It is understood that different fingerprint image acquisition technology can be to there being different pixel values, therefore with electric capacity
Value, or the pixel value as a example by the weighted value of capacitance, should not be construed as the uniqueness to the embodiment of the present invention and limit.
Alternatively, the present embodiment additionally provides the circular of grey decision-making, specific as follows: above-mentioned processor 1001,
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:
Central point pixel value in the default size contiguous range determining above-mentioned target pixel points, max pixel value with
And minimum pixel value；
The grey decision-making 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, it is positioned at the pixel of center
The pixel value of point is central point pixel value, and the pixel value that the maximum pixel of pixel value is corresponding is max pixel value, and pixel value is
The pixel value that little pixel is corresponding is minimum pixel value.Pixel can be taken into full account by the calculation of the embodiment of the present invention
Difference between point and surrounding pixel point, so that it is determined that a 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 grey decision-making meter
The center calculated, is conducive to accurately determining the grey decision-making of target pixel points；Wherein the common value of n can be 3 or 5, it is possible to
To be other values；Less n can improve computational efficiency, and bigger n can make fingerprint image more equalize, both balances,
Can use 5 or 7 as the relatively figure of merit.
Above-mentioned processor 1001, is used for obtaining original fingerprint image and includes:
Receive original fingerprint image, or, collect original fingerprint image by local fingerprint collecting equipment.
In the present embodiment, obtain original fingerprint image, refer to receive the original fingerprint image that other equipment sends, at fingerprint
Identify that under application scenarios, the executive agent of the present embodiment can be terminal or server；So server can receive from
The original fingerprint image that the fingerprint collecting equipment of terminal gathers, terminal unit can also receive the original of fingerprint collecting equipment collection
Fingerprint image, or the original fingerprint image that the fingerprint collecting equipment of other-end gathers.
The embodiment of the present invention additionally provides another kind of terminal unit, as shown in figure 11, for convenience of description, illustrate only with
The part that the embodiment of the present invention is relevant, concrete ins and outs do not disclose, and refer to embodiment of the present invention method part.This terminal
Equipment can be to include mobile phone, panel computer, PDA (Personal Digital Assistant, personal digital assistant), POS
The arbitrarily terminal unit such as (Point of Sales, point-of-sale terminal), vehicle-mounted computer, as a example by terminal unit is as mobile phone:
Figure 11 is illustrated that the block diagram of the part-structure of the mobile phone relevant to the terminal unit of embodiment of the present invention offer.Ginseng
Examining Figure 11, mobile phone includes: radio frequency (Radio Frequency, RF) circuit 1110, memorizer 1120, input block 1130, display
Unit 1140, sensor 1150, voicefrequency circuit 1160, Wireless Fidelity (Wireless Fidelity, WiFi) module 1170, place
The reason parts such as device 1180 and power supply 1190.It will be understood by those skilled in the art that the not structure of the handset structure shown in Figure 11
The restriction of mobile phone in pairs, can include that ratio illustrates more or less of parts, or combine some parts, or different parts
Arrange.
Below in conjunction with Figure 11 each component parts of mobile phone carried out concrete introduction:
RF circuit 1110 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially, by base station
After downlink information receives, process to processor 1180；It addition, be sent to base station by designing up data.Generally, RF circuit
1110 include but not limited to antenna, at least one amplifier, transceiver, bonder, low-noise amplifier (Low Noise
Amplifier, LNA), duplexer etc..Additionally, RF circuit 1110 can also be led to network and other equipment by radio communication
Letter.Above-mentioned radio 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 1120 can be used for storing software program and module, and processor 1180 is stored in memorizer by operation
The software program of 1120 and module, thus perform the application of various functions and the data process of mobile phone.Memorizer 1120 can be led
Including storage program area and storage data field, wherein, needed for storage program area can store operating system, at least one function
Application program (such as sound-playing function, image player function etc.) etc.；Storage data field can store the use institute according to mobile phone
The data (such as voice data, phone directory etc.) etc. created.Additionally, memorizer 1120 can include that high random access stores
Device, it is also possible to include nonvolatile memory, for example, at least one disk memory, flush memory device or other volatibility are solid
State memory device.
Input block 1130 can be used for receiving numeral or the character information of input, and produce with the user setup of mobile phone with
And function controls relevant key signals input.Specifically, input block 1130 can include contact panel 1131 and other inputs
Equipment 1132.Contact panel 1131, also referred to as touch screen, can collect user thereon or neighbouring touch operation (such as user
Use any applicable object such as finger, stylus or adnexa behaviour on contact panel 1131 or near contact panel 1131
Make), and drive corresponding attachment means according to formula set in advance.Optionally, contact panel 1131 can include touching detection
Device and two parts of 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
It is converted into contact coordinate, then gives processor 1180, and order that processor 1180 sends can be received and performed.Additionally,
The polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be used to realize contact panel 1131.Except touch surface
Plate 1131, input block 1130 can also include other input equipments 1132.Specifically, other input equipments 1132 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.
One or more.
Display unit 1140 can be used for each of the information that inputted by user of display or the information being supplied to user and mobile phone
Plant menu.Display unit 1140 can include display floater 1141, optionally, can use liquid crystal display (Liquid
Crystal Display, LCD), the form such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED)
Configure display floater 1141.Further, contact panel 1131 can cover display floater 1141, when contact panel 1131 detects
Arrive thereon or after neighbouring touch operation, send processor 1180 to determine the type of touch event, with preprocessor
1180 provide corresponding visual output according to the type of touch event on display floater 1141.Although in fig. 11, touch surface
Plate 1131 and display floater 1141 are to realize input and the input function of mobile phone as two independent parts, but at some
In embodiment, can be by integrated to contact panel 1131 and display floater 1141 and realize input and the output function of mobile phone.
Mobile phone may also include at least one sensor 1150, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor can include ambient light sensor and proximity transducer, and wherein, ambient light sensor can be according to ambient light
Light and shade regulate the brightness of display floater 1141, proximity transducer can cut out display floater when mobile phone moves in one's ear
1141 and/or backlight.As the one of motion sensor, accelerometer sensor can detect (generally three axles) in all directions and add
The size of speed, can detect that size and the direction of gravity time static, can be used for identifying application (the such as horizontal/vertical screen of mobile phone attitude
Switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；As for mobile phone also
Other sensors such as configurable gyroscope, barometer, drimeter, thermometer, infrared ray sensor, do not repeat them here.
Voicefrequency circuit 1160, speaker 1161, microphone 1162 can provide the audio interface between user and mobile phone.Audio frequency
The signal of telecommunication after the voice data conversion that circuit 1160 can will receive, is transferred to speaker 1161, speaker 1161 changes
Export for acoustical signal；On the other hand, the acoustical signal of collection is converted to the signal of telecommunication by microphone 1162, by voicefrequency circuit 1160
Voice data is converted to after reception, then after voice data output processor 1180 is processed, through RF circuit 1110 to be sent to ratio
Such as another mobile phone, or voice data is exported to memorizer 1120 to process further.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 1170
Part, browsing webpage and access streaming video etc., it has provided the user wireless broadband internet and has accessed.Although Figure 11 shows
WiFi module 1170, but it is understood that, it is also not belonging to must be configured into of mobile phone, can not change as required completely
Omit in the scope of the essence becoming invention.
Processor 1180 is the control centre of mobile phone, utilizes various interface and the various piece of the whole mobile phone of connection,
It is stored in the software program in memorizer 1120 and/or module by running or performing, and calls and be stored in memorizer 1120
Interior data, perform the various functions of mobile phone and process data, thus mobile phone is carried out integral monitoring.Optionally, processor
1180 can include one or more processing unit；Preferably, processor 1180 can integrated application processor and modulation /demodulation process
Device, wherein, application processor mainly processes operating system, user interface and application program etc., and modem processor is mainly located
Reason radio communication.It is understood that above-mentioned modem processor can not also be integrated in processor 1180.
Mobile phone also includes the power supply 1190 (such as battery) powered to all parts, it is preferred that power supply can pass through power supply
Management system is logically contiguous with processor 1180, thus realizes management charging, electric discharge and power consumption pipe by power-supply management system
The functions such as reason.
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
1150 or contact panel 1131 can use as fingerprint collecting equipment.
It should be noted that in above-mentioned unlocked by fingerprint apparatus embodiments, included unit is simply patrolled according to function
Volume carry out dividing, but be not limited to above-mentioned division, as long as being capable of corresponding function；It addition, each function list
The specific name of unit, also only to facilitate mutually distinguish, is not limited to protection scope of the present invention.
It addition, one of ordinary skill in the art will appreciate that all or part of step realized in above-mentioned each method embodiment
The program that can be by completes to instruct relevant hardware, and corresponding program can be stored in a kind of computer-readable recording medium
In, 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 thereto, any
Those familiar with the art in the technical scope that the embodiment of the present invention discloses, the change that can readily occur in or replace
Change, all should contain within protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claim
Enclose and be as the criterion.
Claims (13)
1. a unlocked by fingerprint method, it is characterised in that including:
Obtain original fingerprint image, and determine and the registered fingerprint corresponding to described original fingerprint image；
Executed in parallel following two alignments: use described original fingerprint image to compare with described registered fingerprint；And,
First described original fingerprint image is carried out feature processing and amplifying and obtain fingerprint analog data, then use described fingerprint to simulate number
Compare according to described registered fingerprint；
If the arbitrary alignments comparison result in both the above alignments is for passing through, terminate another alignments.
Method the most according to claim 1, it is characterised in that described described original fingerprint image is carried out feature processing and amplifying
Obtain fingerprint analog data, including:
Obtain the pixel value of each pixel in described original fingerprint image；
According to the pixel value of target pixel points, and the pixel value of the pixel adjacent with described target pixel points, calculate described
The grey decision-making of target pixel points；Described target pixel points belongs to the pixel in described original fingerprint image；
In being calculated described original fingerprint image after the grey decision-making of each pixel, determine the GTG of described original fingerprint image
The progression of value；
Improve the progression of the grey decision-making of described original fingerprint image, described original fingerprint image is converted to fingerprint analog data.
Method the most according to claim 2, it is characterised in that the picture of each pixel in described acquisition described original fingerprint image
Element value includes:
The capacitance of each pixel in the fingerprint image that the fingerprint collecting equipment described original fingerprint image of collection obtains, or capacitance
Weighted value.
Method the most according to claim 2, it is characterised in that 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 central point pixel value, max pixel value and the minimum image in the default size contiguous range of described target pixel points
Element value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(max pixel value-
Small pixel value), wherein 200≤A≤255.
5. according to method described in claim 2 to 4 any one, it is characterised in that described and described target pixel points is adjacent
Pixel includes:
N*n pixel of point centered by described target pixel points, described n is the odd number more than 1.
6. according to method described in claim 2 to 4 any one, it is characterised in that described acquisition original fingerprint image includes:
Receive original fingerprint image, or, collect original fingerprint image by local fingerprint collecting equipment.
7. a unlocked by fingerprint equipment, it is characterised in that including:
Fingerprint acquiring unit, is used for obtaining original fingerprint image；
Fingerprint determines unit, for determining and the registered fingerprint corresponding to described original fingerprint image；
Fingerprint processing unit, obtains fingerprint analog data for described original fingerprint image is carried out feature processing and amplifying；
Fingerprint comparison unit, for executed in parallel following two alignments: use described original fingerprint image and described registration
Fingerprint is compared；And, use described fingerprint analog data to compare with described registered fingerprint；If both the above compares the other side
Arbitrary alignments comparison result in formula, for passing through, terminates another alignments.
Equipment the most according to claim 7, it is characterised in that described fingerprint processing unit, including:
Pixel value acquiring unit, for obtaining the pixel value of each pixel in described original fingerprint image；
Grey decision-making computing unit, for the pixel value according to target pixel points, and the pixel adjacent with described target pixel points
The pixel value of point, calculates the grey decision-making of described target pixel points；Described target pixel points belongs in described original fingerprint image
Pixel；
Progression determines unit, for after the grey decision-making of each pixel, determining described in being calculated described original fingerprint image
The progression of the grey decision-making of original fingerprint image；
Image conversion unit, for improving the progression of the grey decision-making of described original fingerprint image, turns described original fingerprint image
It is changed to fingerprint analog data.
Equipment the most according to claim 8, it is characterised in that
Described pixel value acquiring unit, gathers, specifically for obtaining fingerprint collecting equipment, the fingerprint that described original fingerprint image obtains
The capacitance of each pixel in image, 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 central point in the default size contiguous range of described target pixel points
Pixel value, max pixel value and minimum pixel value；
The grey decision-making calculating described target pixel points is: A* (central point pixel value-minimum pixel value)/(max pixel value-
Small 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 target pixel points is adjacent
Pixel include:
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 fingerprint acquiring unit, specifically for receiving original fingerprint image, or, gathered by local fingerprint collecting equipment
Obtain original fingerprint image.
13. 1 kinds of terminal units, including: processor and memorizer, wherein said processor is used for performing claim 1 to 6 times
Anticipate a described method.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1421815A (en) * | 2001-11-29 | 2003-06-04 | 田捷 | Fingerprint image enhancement method based on knowledge |
| CN104766074A (en) * | 2015-04-29 | 2015-07-08 | 宁波摩米创新工场电子科技有限公司 | Bias voltage type fingerprint recognition system based on logic amplifying processing |
| CN204680034U (en) * | 2015-06-16 | 2015-09-30 | 迪安杰科技无锡有限公司 | Fingerprint recognition disposal system |
| CN105005776A (en) * | 2015-07-30 | 2015-10-28 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device |
| CN105160303A (en) * | 2015-08-10 | 2015-12-16 | 上海闻泰电子科技有限公司 | Fingerprint identification method based on mixed matching |
| CN105243370A (en) * | 2015-10-19 | 2016-01-13 | 广东欧珀移动通信有限公司 | Fingerprint identification method, fingerprint identification device and mobile terminal |
| CN105426865A (en) * | 2015-12-07 | 2016-03-23 | 湖南融创微电子有限公司 | Fingerprint detection circuit, fingerprint sensor and fingerprint detection method |
| CN105550672A (en) * | 2016-01-28 | 2016-05-04 | 广东欧珀移动通信有限公司 | Identification method, identification device and electronic device |
| US20160125223A1 (en) * | 2014-10-30 | 2016-05-05 | Apple Inc. | Electronic device including multiple speed and multiple accuracy finger biometric matching and related methods |
-
2016
- 2016-05-27 CN CN201610369580.0A patent/CN106056073B/en not_active Expired - Fee Related
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1421815A (en) * | 2001-11-29 | 2003-06-04 | 田捷 | Fingerprint image enhancement method based on knowledge |
| US20160125223A1 (en) * | 2014-10-30 | 2016-05-05 | Apple Inc. | Electronic device including multiple speed and multiple accuracy finger biometric matching and related methods |
| CN104766074A (en) * | 2015-04-29 | 2015-07-08 | 宁波摩米创新工场电子科技有限公司 | Bias voltage type fingerprint recognition system based on logic amplifying processing |
| CN204680034U (en) * | 2015-06-16 | 2015-09-30 | 迪安杰科技无锡有限公司 | Fingerprint recognition disposal system |
| CN105005776A (en) * | 2015-07-30 | 2015-10-28 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device |
| CN105160303A (en) * | 2015-08-10 | 2015-12-16 | 上海闻泰电子科技有限公司 | Fingerprint identification method based on mixed matching |
| CN105243370A (en) * | 2015-10-19 | 2016-01-13 | 广东欧珀移动通信有限公司 | Fingerprint identification method, fingerprint identification device and mobile terminal |
| CN105426865A (en) * | 2015-12-07 | 2016-03-23 | 湖南融创微电子有限公司 | Fingerprint detection circuit, fingerprint sensor and fingerprint detection method |
| CN105550672A (en) * | 2016-01-28 | 2016-05-04 | 广东欧珀移动通信有限公司 | Identification method, identification device and electronic device |
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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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