CN106407920B - The fringes noise removing method of fingerprint image - Google Patents
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- 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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Abstract
The present invention relates to fingerprint identification technology fields, the fringes noise removing method of present invention offer fingerprint image, obtain fingerprint image, and image enhancement is carried out to fingerprint image, the position of fringes noise and the field of direction of each fingerprint image block are obtained according to the pixel of the fingerprint image after image enhancement, and interpolation arithmetic is carried out to fringes noise to eliminate fringes noise according to the field of direction of the position of fringes noise and each fingerprint image block, it can effectively eliminate fringes noise existing for fingerprint image, to improve the various indexs of fingerprint recognition system, improve the accuracy rate of Fingerprint recognition.
Description
Technical field
The present invention relates to fingerprint identification technology field more particularly to the fringes noise removing methods of fingerprint image.
Background technique
Currently, mobile fingerprint identifying system is using more and more extensive, using also more and more convenient, however, with to mobile phone
The application of fingerprint recognition system is goed deep into, and demand of the user to fingerprint recognition index is higher and higher, but due to each side such as hardware
Fingerprint recognition is deposited in the reason of face, fingerprint image generally existing various noises, presence of the noise in collection process
In certain influence, in conclusion causing to influence to refer to there are noise during existing in the prior art on Fingerprint recognition
The problem of line identifies.
Summary of the invention
The purpose of the present invention is to provide the fringes noise removing methods of fingerprint image, it is intended to which solution exists in the prior art
There are problems that noise causes to influence fingerprint recognition during on Fingerprint recognition.
The invention is realized in this way providing a kind of fringes noise removing method of fingerprint image, the fringes noise disappears
Except method the following steps are included:
Fingerprint image is obtained, and image enhancement is carried out to the fingerprint image；
The position of fringes noise is obtained according to the pixel of the fingerprint image after image enhancement；
Fingerprint image after image enhancement is divided into multiple nonoverlapping fingerprint image blocks, and obtains each fingerprint
The field of direction of image block；
Interpolation is carried out to fringes noise according to the field of direction of the position of the fringes noise and each fingerprint image block
Operation is to eliminate fringes noise.
The embodiment of the present invention provides the fringes noise removing method of fingerprint image, obtains fingerprint image, and to fingerprint image
Image enhancement is carried out, according to the position of the pixel of the fingerprint image after image enhancement acquisition fringes noise and each fingerprint
The field of direction of image block, and interpolation is carried out to fringes noise according to the field of direction of the position of fringes noise and each fingerprint image block
Operation can effectively eliminate fringes noise existing for fingerprint image to eliminate fringes noise, to improve fingerprint recognition system
Various indexs improve the accuracy rate of Fingerprint recognition.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of flow chart of the fringes noise removing method for fingerprint image that an embodiment of the present invention provides；
Fig. 2 is in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides in step S101
The fingerprint image schematic diagram of acquisition；
Fig. 3 is in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides in step S101
Image schematic diagram after carrying out image enhancement to fingerprint image；
Fig. 4 is step S102 in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides
A kind of embodiment flow chart；
Fig. 5 is step S102 in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides
Another embodiment flow chart；
Fig. 6 is step S103 in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides
Flow chart；
Fig. 7 is step S103 in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides
Field of direction schematic diagram；
Fig. 8 is step S104 in a kind of fringes noise removing method for fingerprint image that an embodiment of the present invention provides
Image schematic diagram after removing fringes noise；
Fig. 9 a is another width fingerprint image schematic diagram；
Fig. 9 b is to Fig. 9 a using fingerprint image schematic diagram after fringes noise removing method of the present invention；
Figure 10 a is another width fingerprint image schematic diagram；
Figure 10 b is to Figure 10 a using fingerprint image schematic diagram after fringes noise removing method of the present invention；
Figure 11 a is another width fingerprint image schematic diagram；
Figure 11 b is to Figure 11 a using fingerprint image schematic diagram after fringes noise removing method of the present invention；
Figure 12 a is another width fingerprint image schematic diagram；
Figure 12 b is to Figure 12 a using fingerprint image schematic diagram after fringes noise removing method of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
In order to illustrate technical solution of the present invention, the following is a description of specific embodiments.
The embodiment of the present invention provides a kind of fringes noise removing method of fingerprint image, as shown in Figure 1, fringes noise is eliminated
Method the following steps are included:
Step S101. obtains fingerprint image, and carries out image enhancement to fingerprint image.
In step s101, specifically, acquisition have fringes noise fingerprint image, for example, can use resolution ratio for
112*88, as shown in Fig. 2, there are many nickings for visible fingerprint image.
In step s101, optionally, image enhancement can be carried out using Laplace filter, it is preferred that setting filter
The template of wave device is (3*3):
[-1,-1,-1；-1,9,-1；-1,-1,-1]；
The fingerprint image of striped noise is obtained into enhancing image after Gauss enhances filter, as shown in figure 3, fingerprint
Fringes noise seem more obvious.
Step S102. obtains the position of fringes noise according to the pixel of the fingerprint image after image enhancement.
In step s 102, optionally, by obtaining the picture element matrix of fingerprint image, projective transformation is carried out to picture element matrix
To obtain the position of fringes noise.
Specifically, as shown in figure 4, step S102 the following steps are included:
Step S1021. obtains 3 × 3 matrixes centered on pixel each in fingerprint image, and according to 3 × 3 matrixes pair
Each pixel is marked, wherein pixel does not include boundary pixel point.
In step S1021, specifically, each pixel in acquisition fingerprint image, it is assumed that P4 is Current Scan pixel,
P3 is the pixel on the P4 pixel left side, and P5 is the pixel on the right of P4 pixel, then each position in 3 × 3 matrixes centered on P4
Relationship are as follows:
P0 P1 P2
P3 P4 P5
P6 P7 P8
In step S1021, pixel is marked according to 3 × 3 matrixes, is specifically included:
When the pixel of first row in 3 × 3 matrixes for detect some pixel and third column pixel is all larger than and its phase
The pixel of adjacent secondary series pixel and the second preset value and when, which is marked.
Specifically, fingerprint image really is scanned after removing boundary pixel point, if meeting the following conditions simultaneously:
P0 > P1+K, P2 > P1+K；
P3 > P4+K, P5 > P4+K；
P6 > P7+K, P8 > P7+K；
Wherein K is empirical value, i.e. the second preset value, then marking the pixel is 255, and the pixel is marked if being unsatisfactory for
Point is 0.
Step S1022. projects the image of the pixel composition after label to carry out projective transformation to X-axis,
And the image of the pixel composition after label determines to be located in X-axis when the projection width in X-axis is greater than the first preset value
There are nickings for projection coordinate position.
In step S1022, specifically, the image for re-flagging pixel is carried out projective transformation, upright projection to throwing
In X-axis in shadow coordinate system, projection array is projecty [width], and width is the width of fingerprint image.If
Projecty [x] > h, then it is assumed that there are nickings for the position that abscissa is x, projecty [x] are otherwise set as 0, wherein h is
Empirical value, i.e. the first preset value.
Further, as shown in figure 5, determining that there are nickings for the projection coordinate position being located in X-axis in step S1022
Later further include:
Step S1023. is wide according to projection width acquisition maximal projection of the image of the pixel composition after label in X-axis
Degree.
Whether projection width of the image of the pixel composition after step S1024. judge mark in X-axis is greater than maximum throwing
The product of shadow width and third preset value is then to enter step S1025, and the projection being located in X-axis corresponding to retaining projection is sat
Target nicking, it is no, then S1026 is entered step, the nicking of the corresponding projection coordinate being located in X-axis of projection is deleted.
The purpose of above-mentioned steps S1023 and step S1024 are in order to remove unconspicuous striped, specifically, traversal
Projecty [x] finds out maximal projection value maxproject, then successively traverses projecty [x], if projecty [x] > a*
Maxproject then retains projecty [x], and projecty [x] is otherwise set as 0.A is empirical value, i.e. third preset value.
By above-mentioned steps S1021 to step S1024, nicking noise can be determined according to the value of projecty [x]
Obtained noise position when position, i.e. projecty [x] > 0.
Fingerprint image after image enhancement is divided into multiple nonoverlapping fingerprint image blocks by step S103., and is obtained
Take the field of direction of each fingerprint image block.
In step s 103, a series of fingerprint image block for being nonoverlapping w*w by fingerprint image I piecemeal, and obtain every
The squared gradient vector of a fingerprint image block obtains the field of direction further according to the squared gradient vector of each fingerprint image block.
In step s 103, specifically, as shown in fig. 6, the field of direction for obtaining each fingerprint image block includes:
Step S1031. obtains the horizontal gradient and vertical gradient of each pixel in each fingerprint image block.
In step S1031, specifically, being obtained by the following formula the level of each pixel in each fingerprint image block
Gradient:
Vx (x, y)=2* (P5-P3)+(P2-P0)+(P8-P6)；
It is obtained by the following formula the vertical gradient of each pixel in each fingerprint image block:
Vy (x, y)=2* (P7-P1)+(P6-P0)+(P8-P2)；
Wherein, vx (x, y) is the horizontal gradient of each pixel, and vy (x, y) is the vertical gradient of each pixel, each
Pixel and surrounding pixel form 3 × 3 matrixes centered on the pixel, and P0 is first in 3 × 3 matrixes
The pixel of the pixel of row first row, P1 are the pixel of the pixel of the first row secondary series in 3 × 3 matrixes, and P2 is position
The pixel of the tertial pixel of the first row in 3 × 3 matrixes, P4 are the pixel of the pixel, and P3 is positioned at 3 × 3 matrixes
In the second row first row pixel pixel, P5 is the picture of the pixel of the second row secondary series in 3 × 3 matrixes
Element, P6 are the pixel of the pixel of the third line first row in 3 × 3 matrixes, and P7 is the third line in 3 × 3 matrixes
The pixel of the pixel of secondary series, P8 are the pixel of the tertial pixel of the third line in 3 × 3 matrixes.
Step S1032. obtains the squared gradient vector of each fingerprint image block according to horizontal gradient and vertical gradient.
In step S1031, specifically, obtaining the block gradient vector of each fingerprint image block according to the following formula:
The squared gradient vector of each fingerprint image block is obtained according to the following formula:
GX=2*dx*dy；
GY=dx2-dy2。
Step S1033. obtains the field of direction of each fingerprint image block according to the squared gradient vector of each fingerprint image block.
In step S1031, specifically, obtaining squared gradient the absolute value of a vector UGX, UGY of each fingerprint image block；
The field of direction of each fingerprint image block is obtained according to the following formula:
If UGY>UGX and GY<0, pDirection=0；
If UGY≤UGX and GX < 0, pDirection=1；
If UGY > UGX and GY >=0, pDirection=2；
If UGY≤UGX and GX >=0, pDirection=3；
Wherein, pDirection is the field of direction, and as pDirection=0, the field of direction is 0 degree, works as pDirection=1
When, the field of direction is 45 degree, and as pDirection=2, the field of direction is 90 degree, as pDirection=3, the field of direction 135
Degree.
As shown in fig. 7, to obtain the field of direction of fingerprint image.
Step S104. carries out interpolation to fringes noise according to the position of fringes noise and the field of direction of each fingerprint image block
Operation is to eliminate fringes noise.
In step S104, the field of direction obtained through the above steps carries out difference to fringes noise, specifically,
When pDirection is equal to 0 or 2, and when P4 < P3 and P4 < P5,
P4=(P3+P5)/2；
When pDirection is equal to 1, and when P4 < P2 and P4 < P6,
P4=(P2+P6)/2；
When pDirection is equal to 3, and when P4 < P0 and P4 < P8,
P4=(P0+P8)/2.
As described in Figure 8, be by step S104 removal fringes noise after image schematic diagram.
The embodiment of the present invention provides the fringes noise removing method of fingerprint image, obtains fingerprint image, and to fingerprint image
Image enhancement is carried out, according to the position of the pixel of the fingerprint image after image enhancement acquisition fringes noise and each fingerprint
The field of direction of image block, and interpolation is carried out to fringes noise according to the field of direction of the position of fringes noise and each fingerprint image block
Operation can effectively eliminate fringes noise existing for fingerprint image to eliminate fringes noise, to improve fingerprint recognition system
Various indexs improve the accuracy rate of Fingerprint recognition.
Based on the method for above-mentioned offer, the present invention carries out test and comparison with fringes noise fingerprint image to multiple:
All be the fingerprint image with fringes noise such as Fig. 9 a, 10a, 11a, 12a, Fig. 9 b, 10b, 11b, 12b be and its
Corresponding, after the method for the present invention eliminates fringes noise image, by comparing it can be seen that striped this method can be effectively
Elimination fringes noise.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Several equivalent substitute or obvious modifications are made under the premise of not departing from present inventive concept, and performance or use is identical, all should
It is considered as belonging to present invention scope of patent protection determined by the appended claims.
Claims (7)
1. a kind of fringes noise removing method of fingerprint image, which is characterized in that the fringes noise removing method includes following
Step:
Fingerprint image is obtained, and image enhancement is carried out to the fingerprint image；
The position of fringes noise is obtained according to the pixel of the fingerprint image after image enhancement；
Fingerprint image after image enhancement is divided into multiple nonoverlapping fingerprint image blocks, and obtains each fingerprint image
The field of direction of block；
Interpolation arithmetic is carried out to fringes noise according to the field of direction of the position of the fringes noise and each fingerprint image block
To eliminate fringes noise；
The position that fringes noise is obtained according to the pixel of the fingerprint image after image enhancement, comprising:
3 × 3 matrixes centered on pixel each in fingerprint image are obtained, and according to 3 × 3 matrix to each pixel
Carry out the first label, wherein carrying out the first label to each pixel does not include that the first label is carried out to boundary pixel point；Its
In, it is described that first label is carried out to pixel according to 3 × 3 matrix, comprising: when 3 × 3 matrixes for detecting some pixel
The pixel of middle first row and third column pixel is all larger than the pixel and the second preset value of secondary series pixel adjacent thereto
And when, the second label is carried out to the pixel；
The image of pixel composition after the second label is projected to X-axis to carry out projective transformation, and in the second mark
The image of pixel composition after note determines that the projection being located in X-axis is sat when the projection width in X-axis is greater than the first preset value
There are nickings for cursor position.
2. fringes noise removing method as described in claim 1, which is characterized in that described to determine that the projection being located in X-axis is sat
There are after nicking for cursor position further include:
According to the image of the pixel composition after the second label, the projection width in X-axis obtains maximal projection width；
Whether projection width of the image of the pixel composition after judging the second label in X-axis is greater than the maximal projection width
It with the product of third preset value, is the nicking for then retaining the projection coordinate being located in X-axis corresponding to the projection, it is no, then
Delete the nicking for the projection coordinate being located in X-axis corresponding to the projection.
3. fringes noise removing method as described in claim 1, which is characterized in that the side for obtaining each fingerprint image block
Include: to field
Obtain the horizontal gradient and vertical gradient of each pixel in each fingerprint image block；
The squared gradient vector of each fingerprint image block is obtained according to the horizontal gradient and the vertical gradient；
The field of direction of each fingerprint image block is obtained according to the squared gradient vector of each fingerprint image block.
4. fringes noise removing method as claimed in claim 3, which is characterized in that described to obtain in each fingerprint image block often
The horizontal gradient and vertical gradient of a pixel, comprising:
It is obtained by the following formula the horizontal gradient of each pixel in each fingerprint image block:
Vx (x, y)=2* (P5-P3)+(P2-P0)+(P8-P6)；
It is obtained by the following formula the vertical gradient of each pixel in each fingerprint image block:
Vy (x, y)=2* (P7-P1)+(P6-P0)+(P8-P2)；
Wherein, vx (x, y) is the horizontal gradient of each pixel, and vy (x, y) is the vertical gradient of each pixel, each pixel
Point and surrounding pixel form 3 × 3 matrixes centered on the pixel, and P0 is the first row in 3 × 3 matrixes the
The pixel of the pixel of one column, P1 are the pixel of the pixel of the first row secondary series in 3 × 3 matrixes, P2 be positioned at 3 ×
The pixel of the tertial pixel of the first row in 3 matrixes, P4 are the pixel of the pixel, and P3 is the in 3 × 3 matrixes
The pixel of the pixel of two row first rows, P5 are the pixel of the pixel of the second row secondary series in 3 × 3 matrixes, and P6 is
The pixel of the pixel of the third line first row in 3 × 3 matrixes, P7 are the third line secondary series in 3 × 3 matrixes
The pixel of pixel, P8 are the pixel of the tertial pixel of the third line in 3 × 3 matrixes.
5. fringes noise removing method as claimed in claim 4, which is characterized in that described according to the horizontal gradient and described
Vertical gradient obtains the squared gradient vector of each fingerprint image block, comprising:
The block gradient vector of each fingerprint image block is obtained according to the following formula:
The squared gradient vector of each fingerprint image block is obtained according to the following formula:
GX=2*dx*dy；
GY=dx2-dy2；
Wherein, w is the line number and columns that fingerprint image block is configured to matrix.
6. fringes noise removing method as claimed in claim 5, which is characterized in that described according to each fingerprint image block
Squared gradient vector obtain the field of direction of each fingerprint image block, comprising:
Obtain squared gradient the absolute value of a vector UGX, UGY of each fingerprint image block；
The field of direction of each fingerprint image block is obtained according to the following formula:
If UGY>UGX and GY<0, pDirection=0；
If UGY≤UGX and GX < 0, pDirection=1；
If UGY > UGX and GY >=0, pDirection=2；
If UGY≤UGX and GX >=0, pDirection=3；
Wherein, pDirection is the field of direction, and as pDirection=0, the field of direction is 0 degree, as pDirection=1,
The field of direction is 45 degree, and as pDirection=2, the field of direction is 90 degree, and as pDirection=3, the field of direction is 135 degree.
7. fringes noise removing method as claimed in claim 6, which is characterized in that the position according to the fringes noise
Interpolation arithmetic is carried out to eliminate fringes noise to fringes noise with the field of direction of each fingerprint image block, comprising:
When pDirection is equal to 0 or 2, and when P4 < P3 and P4 < P5, P4=(P3+P5)/2；
When pDirection is equal to 1, and when P4 < P2 and P4 < P6, P4=(P2+P6)/2；
When pDirection is equal to 3, and when P4 < P0 and P4 < P8, P4=(P0+P8)/2.
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| CN107038432B (en) * | 2017-05-12 | 2019-12-17 | 西安电子科技大学 | Fingerprint image direction field extraction method based on frequency information |
| CN108932498B (en) * | 2018-07-05 | 2020-08-21 | 岳阳县辉通物联网科技有限公司 | Fingerprint identification authentication mechanism in office place |
| CN109117754A (en) * | 2018-07-25 | 2019-01-01 | 徐敬媛 | Real time fingerprint identifying platform |
| CN109785470A (en) * | 2018-08-03 | 2019-05-21 | 秦广民 | Gate inhibition's intelligent control mechanism, supermarket |
| CN110263754B (en) * | 2019-06-28 | 2021-08-06 | 北京迈格威科技有限公司 | Method and device for removing shading of off-screen fingerprint, computer equipment and storage medium |
| CN111784599B (en) * | 2020-06-24 | 2022-04-29 | 西北工业大学 | Method for eliminating infrared image stripe noise |
| CN112967206B (en) * | 2021-03-25 | 2022-03-04 | 西安中科立德红外科技有限公司 | Self-adaptive infrared image and video vertical line removing method based on image blocking |
| CN116883292B (en) * | 2023-09-07 | 2023-11-28 | 上海海栎创科技股份有限公司 | pseudo-Gaussian-based image direction field acquisition method, system and computer equipment |
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