CN106504407B - A kind of method and device handling banknote image - Google Patents
A kind of method and device handling banknote image Download PDFInfo
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- CN106504407B CN106504407B CN201610942453.5A CN201610942453A CN106504407B CN 106504407 B CN106504407 B CN 106504407B CN 201610942453 A CN201610942453 A CN 201610942453A CN 106504407 B CN106504407 B CN 106504407B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/16—Testing the dimensions
- G07D7/162—Length or width
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- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The embodiment of the invention discloses a kind of method and devices for handling banknote image.This method comprises: obtaining the image boundary of bank note to be identified, and the straight line information on described image boundary is obtained according to default Algorithm of fitting a straight line；According to four intersecting point coordinates of the straight line acquisition of information, and obtain according to four intersecting point coordinates the height and width of the bank note to be identified；The origin coordinates point of postrotational image is defined, and line displacement amount, line skew amount and the horizontal axis offset after offset are calculated according to default bias quantity algorithm；According to the horizontal axis offset and origin coordinates point, the origin coordinates point after handling the banknote image to be identified is determined；According to the line displacement amount, the line skew amount and treated origin coordinates point, the coordinates of targets point after handling the banknote image to be identified is determined.Rotational correction geometric manipulations are sat to original image to realize, facilitate later period false distinguishing algorithm development；The time complexity for reducing rotation processing is rotated using ranks offset mode.
Description
Technical field
The present embodiments relate to the technical field of bill handling more particularly to a kind of methods and dress for handling banknote image
It sets.
Background technique
Currency is the medium of the exchange of commodities, is the accompaniment of human economic development Yu trade process.Bank note is in very long goods
In occupation of critical role in coin history, with the money flow of diversified forms, development, even if starting the present risen in electronic money
It, bank note cash circulation is still at present the most important mode of financial quarters's money flow in the world.People often use magnetic oil at present
The methods of ink detection, Ultraluminescence detection and infrared penetration-detection identify forge or true or paper money, identify it by detecting Paper Money Size
Face amount, these methods acquisition information is single, cannot identify the situations such as incomplete bank note, pollution and abrasion, can not identify bank note sequence
Row number.
And various information can be obtained from banknote image, including Paper Money Size, face amount, be stained situation, abrasion journey
Degree and sequence number etc..With the development of digital image processing techniques, mode identification technology, banknote image recognition methods is had become
Presently the most popular bank note analysis method.However, collected banknote image is usually inclined, it is necessary to be tilted to bank note
Correction, otherwise can not accurately extract banknote area and carry out paper money recognition.
It is typically due to bank note edge and background area and there is more apparent gray scale difference, the method generally used is to pass through
HOUGH converts (Hough transformation) and extracts bank note edge, obtains the angle of tilt of paper money, is then corrected.However there are two former
The precision at bank note edge is extracted because influencing Hough transformation: first is that after bank note has been grown using the time, edge wears, with background contrast
It spends unobvious；Second is that bank note edge abrasion, generates sawtooth, lead to occur mistake when Hough transformation edge extracting, slant correction is lost
It loses, banknote area can not be extracted.Therefore, it is necessary to accurately calculate bank note gradient using suitable method and extract paper money zone
Domain lays the foundation for paper money recognition.
Summary of the invention
The purpose of the embodiment of the present invention is to propose a kind of method and device for handling banknote image, it is intended to which how right solve
The boundary of banknote image carries out the problem of rotation processing.
For this purpose, the embodiment of the present invention uses following technical scheme:
In a first aspect, a kind of method for handling banknote image, which comprises
The image boundary of bank note to be identified is obtained, and obtains the straight line on described image boundary according to default Algorithm of fitting a straight line
Information；
According to four intersecting point coordinates of the straight line acquisition of information, and it is described to be identified according to four intersecting point coordinates acquisition
The height and width of bank note；
The origin coordinates point of postrotational image is defined, and the line displacement after offset is calculated according to default bias quantity algorithm
Amount, line skew amount and horizontal axis offset；
According to the horizontal axis offset and origin coordinates point, the starting after handling the banknote image to be identified is determined
Coordinate points；
According to the line displacement amount, the line skew amount and treated origin coordinates point, determine that processing is described to be identified
Coordinates of targets point after banknote image.
Preferably, the origin coordinates point for defining postrotational image, comprising:
The origin coordinates point of postrotational image is (0,0), (ImgWidth-1, ImgHeight-1)；
Wherein, the width of paper moneyBank note height(the x0,y0) be the bank note to be identified image coboundary and the left side
Boundary's intersection point, (x1,y1) be the bank note to be identified image lower boundary and left margin intersection point, (x2,y2) it is the paper to be identified
The lower boundary and right margin intersection point of the image of coin, (x3,y3) handed over for the right margin of the image of the bank note to be identified with coboundary
Point.
Preferably, described that line displacement amount after offset, line skew amount and horizontal axis offset are calculated according to default bias quantity algorithm
Amount, comprising:
Obtain the line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain the line skew rate s between two pixels at default longitudinal pixel interval；
Obtain the horizontal axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pixel coordinate i to be processed is multiplied with the line displacement rate, obtains the line displacement amount xDis [i]；
The pixel coordinate i to be processed is multiplied with the line skew rate, obtains the line skew amount yDis [i]；
The pixel coordinate i to be processed is multiplied with the horizontal axis deviation ratio, obtains the horizontal axis offset RowDis
[i]。
Preferably, described according to the horizontal axis offset and origin coordinates point, it determines and handles the bank note to be identified
Origin coordinates point after image, comprising:
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0。
Preferably, described according to the line displacement amount, the line skew amount and treated origin coordinates point, determine processing
Coordinates of targets point after the banknote image to be identified, comprising:
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j]。
Second aspect, a kind of device handling banknote image, described device include:
First obtains module, obtains for obtaining the image boundary of bank note to be identified, and according to default Algorithm of fitting a straight line
The straight line information on described image boundary；
Second obtains module, is used for according to four intersecting point coordinates of the straight line acquisition of information, and according to four intersection points
Coordinate obtains the height and width of the bank note to be identified；
Definition module, for defining the origin coordinates point of postrotational image；
Computing module, it is inclined for calculating the line displacement amount after offset, line skew amount and horizontal axis according to default bias quantity algorithm
Shifting amount；
First determining module, for determining that processing is described wait know according to the horizontal axis offset and origin coordinates point
Origin coordinates point after other banknote image；
Second determining module, for according to the line displacement amount, the line skew amount and treated origin coordinates point, really
Surely the coordinates of targets point after handling the banknote image to be identified.
Preferably, the definition module, is specifically used for:
The origin coordinates point of postrotational image is (0,0), (ImgWidth-1, ImgHeight-1)；
Wherein, the width of paper moneyBank note height(the x0,y0) be the bank note to be identified image coboundary and the left side
Boundary's intersection point, (x1,y1) be the bank note to be identified image lower boundary and left margin intersection point, (x2,y2) it is the paper to be identified
The lower boundary and right margin intersection point of the image of coin, (x3,y3) handed over for the right margin of the image of the bank note to be identified with coboundary
Point.
Preferably, the computing module, is specifically used for:
Obtain the line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain the line skew rate s between two pixels at default longitudinal pixel interval；
Obtain the horizontal axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pixel coordinate i to be processed is multiplied with the line displacement rate, obtains the line displacement amount xDis [i]；
The pixel coordinate i to be processed is multiplied with the line skew rate, obtains the line skew amount yDis [i]；
The pixel coordinate i to be processed is multiplied with the horizontal axis deviation ratio, obtains the horizontal axis offset RowDis
[i]。
Preferably, first determining module, is specifically used for:
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0。
Preferably, second determining module, is specifically used for:
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j]。
The embodiment of the present invention provides a kind of method and device for handling banknote image, obtains the image side of bank note to be identified
Boundary, and according to the straight line information on default Algorithm of fitting a straight line acquisition described image boundary；According to the straight line acquisition of information four
Intersecting point coordinate, and obtain according to four intersecting point coordinates the height and width of the bank note to be identified；Define postrotational figure
The origin coordinates point of picture, and line displacement amount, line skew amount and the horizontal axis offset after offset are calculated according to default bias quantity algorithm；
According to the horizontal axis offset and origin coordinates point, the origin coordinates point after handling the banknote image to be identified is determined；
According to the line displacement amount, the line skew amount and treated origin coordinates point, determines and handle the banknote image to be identified
Coordinates of targets point afterwards.Rotational correction geometric manipulations are sat to original image to realize, facilitate later period false distinguishing algorithm development；It uses
Ranks offset mode rotates the time complexity for reducing rotation processing.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of method for handling banknote image provided in an embodiment of the present invention；
Fig. 2 is a kind of the functional block diagram of device for handling banknote image provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this
Locate described specific embodiment and is used only for explaining the embodiment of the present invention, rather than the restriction to the embodiment of the present invention.In addition also
It should be noted that only parts related to embodiments of the present invention are shown rather than entire infrastructure for ease of description, in attached drawing.
It is a kind of flow diagram of method for handling banknote image provided in an embodiment of the present invention with reference to Fig. 1, Fig. 1.
As shown in Figure 1, the method for the processing banknote image includes:
Step 101, the image boundary of bank note to be identified is obtained, and described image side is obtained according to default Algorithm of fitting a straight line
The straight line information on boundary；
Step 102, according to four intersecting point coordinates of the straight line acquisition of information, and institute is obtained according to four intersecting point coordinates
State the height and width of bank note to be identified；
Step 103, the origin coordinates point of postrotational image is defined, and after calculating offset according to default bias quantity algorithm
Line displacement amount, line skew amount and horizontal axis offset；
Preferably, the origin coordinates point for defining postrotational image, comprising:
The origin coordinates point of postrotational image is (0,0), (ImgWidth-1, ImgHeight-1)；
Wherein, the width of paper moneyBank note height(the x0,y0) be the bank note to be identified image coboundary and the left side
Boundary's intersection point, (x1,y1) be the bank note to be identified image lower boundary and left margin intersection point, (x2,y2) it is the paper to be identified
The lower boundary and right margin intersection point of the image of coin, (x3,y3) handed over for the right margin of the image of the bank note to be identified with coboundary
Point.
Preferably, described that line displacement amount after offset, line skew amount and horizontal axis offset are calculated according to default bias quantity algorithm
Amount, comprising:
Obtain the line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain the line skew rate s between two pixels at default longitudinal pixel interval；
Obtain the horizontal axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Specifically,
Pixel coordinate i to be processed is multiplied with the line displacement rate, obtains the line displacement amount xDis [i]；
The pixel coordinate i to be processed is multiplied with the line skew rate, obtains the line skew amount yDis [i]；
The pixel coordinate i to be processed is multiplied with the horizontal axis deviation ratio, obtains the horizontal axis offset RowDis
[i]。
Specifically, the line displacement amount=pixel coordinate * line displacement rate, concrete form are as follows: xDis [i]=i*c；
The line skew amount=pixel coordinate * line skew rate, concrete form are as follows: yDis [i]=i*s
Floating number is partially larger than 0.8 and enters 1, and floating-point part is cast out less than 0.8.
Horizontal axis offset: RowDis [i]=i*ccs, floating number are partially larger than 0.8 and enter 1, and floating-point part is less than 0.8 house
It goes.
Step 104, it according to the horizontal axis offset and origin coordinates point, determines and handles the banknote image to be identified
Origin coordinates point afterwards；
Preferably, described according to the horizontal axis offset and origin coordinates point, it determines and handles the bank note to be identified
Origin coordinates point after image, comprising:
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0。
Specifically, x1=x0-RowDis[i]；y1=i+y0。
Step 105, according to the line displacement amount, the line skew amount and treated origin coordinates point, processing institute is determined
Coordinates of targets point after stating banknote image to be identified.
Preferably, described according to the line displacement amount, the line skew amount and treated origin coordinates point, determine processing
Coordinates of targets point after the banknote image to be identified, comprising:
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j]。
Specifically,
The embodiment of the present invention provides a kind of method for handling banknote image, obtains the image boundary of bank note to be identified, and root
The straight line information on described image boundary is obtained according to default Algorithm of fitting a straight line；It is sat according to four intersection points of the straight line acquisition of information
It marks, and obtains the height and width of the bank note to be identified according to four intersecting point coordinates；Define rising for postrotational image
Beginning coordinate points, and line displacement amount, line skew amount and the horizontal axis offset after offset are calculated according to default bias quantity algorithm；According to institute
Horizontal axis offset and origin coordinates point are stated, determines the origin coordinates point after handling the banknote image to be identified；According to institute
Line displacement amount, the line skew amount and treated origin coordinates point are stated, determines the mesh after handling the banknote image to be identified
Mark coordinate points.Rotational correction geometric manipulations are sat to original image to realize, facilitate later period false distinguishing algorithm development；It is inclined using ranks
Shifting amount mode rotates the time complexity for reducing rotation processing.
It is a kind of functional module signal of device for handling banknote image provided in an embodiment of the present invention with reference to Fig. 2, Fig. 2
Figure.
As shown in Fig. 2, described device includes:
First obtains module 201, obtains for obtaining the image boundary of bank note to be identified, and according to default Algorithm of fitting a straight line
Take the straight line information on described image boundary；
Second obtains module 202, for handing over according to four intersecting point coordinates of the straight line acquisition of information, and according to described four
Point coordinate obtains the height and width of the bank note to be identified；
Definition module 203, for defining the origin coordinates point of postrotational image；
Preferably, the definition module 203, is specifically used for:
The origin coordinates point of postrotational image is (0,0), (ImgWidth-1, ImgHeight-1)；
Wherein, the width of paper moneyBank note height(the x0,y0) be the bank note to be identified image coboundary and the left side
Boundary's intersection point, (x1,y1) be the bank note to be identified image lower boundary and left margin intersection point, (x2,y2) it is the paper to be identified
The lower boundary and right margin intersection point of the image of coin, (x3,y3) handed over for the right margin of the image of the bank note to be identified with coboundary
Point.
Computing module 204, for calculating line displacement amount, line skew amount and horizontal axis after offset according to default bias quantity algorithm
Offset；
Preferably, the computing module 204, is specifically used for:
Obtain the line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain the line skew rate s between two pixels at default longitudinal pixel interval；
Obtain the horizontal axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pixel coordinate i to be processed is multiplied with the line displacement rate, obtains the line displacement amount xDis [i]；
The pixel coordinate i to be processed is multiplied with the line skew rate, obtains the line skew amount yDis [i]；
The pixel coordinate i to be processed is multiplied with the horizontal axis deviation ratio, obtains the horizontal axis offset RowDis
[i]。
First determining module 205, for according to the horizontal axis offset and origin coordinates point, determine processing it is described to
Origin coordinates point after identifying banknote image；
Preferably, first determining module 205, is specifically used for:
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0。
Second determining module 206, for according to the line displacement amount, the line skew amount and treated origin coordinates
Point determines the coordinates of targets point after handling the banknote image to be identified.
Preferably, second determining module 206, is specifically used for:
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j]。
The embodiment of the present invention provides a kind of device for handling banknote image, obtains the image boundary of bank note to be identified, and root
The straight line information on described image boundary is obtained according to default Algorithm of fitting a straight line；It is sat according to four intersection points of the straight line acquisition of information
It marks, and obtains the height and width of the bank note to be identified according to four intersecting point coordinates；Define rising for postrotational image
Beginning coordinate points, and line displacement amount, line skew amount and the horizontal axis offset after offset are calculated according to default bias quantity algorithm；According to institute
Horizontal axis offset and origin coordinates point are stated, determines the origin coordinates point after handling the banknote image to be identified；According to institute
Line displacement amount, the line skew amount and treated origin coordinates point are stated, determines the mesh after handling the banknote image to be identified
Mark coordinate points.Rotational correction geometric manipulations are sat to original image to realize, facilitate later period false distinguishing algorithm development；It is inclined using ranks
Shifting amount mode rotates the time complexity for reducing rotation processing.
Describe the technical principle of the embodiment of the present invention in conjunction with specific embodiments above.These descriptions are intended merely to explain this
The principle of inventive embodiments, and it cannot be construed to the limitation to protection scope of the embodiment of the present invention in any way.Based on herein
Explanation, those skilled in the art, which does not need to pay for creative labor, can associate the other specific of the embodiment of the present invention
Embodiment, these modes are fallen within the protection scope of the embodiment of the present invention.
Claims (8)
1. a kind of method for handling banknote image, which is characterized in that the described method includes:
The image boundary of bank note to be identified is obtained, and is believed according to the straight line that default Algorithm of fitting a straight line obtains described image boundary
Breath；
The bank note to be identified is obtained according to four intersecting point coordinates of the straight line acquisition of information, and according to four intersecting point coordinates
Height and width；
The origin coordinates point of postrotational image is defined, and between two pixels at the first default horizontal pixel point interval of acquisition
Line displacement rate c；
Obtain the line skew rate s between two pixels at default longitudinal pixel interval；
Obtain the horizontal axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pixel coordinate i to be processed is multiplied with the line displacement rate, obtains the line displacement amount xDis [i]；
The pixel coordinate i to be processed is multiplied with the line skew rate, obtains the line skew amount yDis [i]；
The pixel coordinate i to be processed is multiplied with the horizontal axis deviation ratio, obtains the horizontal axis offset RowDis [i]；
According to the horizontal axis offset and origin coordinates point, the origin coordinates after handling the banknote image to be identified is determined
Point；
According to the line displacement amount, the line skew amount and treated origin coordinates point, determines and handle the bank note to be identified
Coordinates of targets point after image.
2. the method according to claim 1, wherein the origin coordinates point for defining postrotational image, packet
It includes:
The origin coordinates point of postrotational image is (0,0), (ImgWidth-1, ImgHeight-1)；
Wherein, the width of paper moneyBank note height(the x0,y0) be the bank note to be identified image coboundary and the left side
Boundary's intersection point, (x1,y1) be the bank note to be identified image lower boundary and left margin intersection point, (x2,y2) it is the paper to be identified
The lower boundary and right margin intersection point of the image of coin, (x3,y3) handed over for the right margin of the image of the bank note to be identified with coboundary
Point.
3. method according to claim 1 or 2, which is characterized in that described according to the horizontal axis offset and the starting
Coordinate points determine the origin coordinates point after handling the banknote image to be identified, comprising:
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0。
4. according to the method described in claim 3, it is characterized in that, it is described according to the line displacement amount, the line skew amount and
Treated origin coordinates point determines the coordinates of targets point after handling the banknote image to be identified, comprising:
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j]。
5. a kind of device for handling banknote image, which is characterized in that described device includes:
First obtains module, for obtaining the image boundary of bank note to be identified, and according to the acquisition of default Algorithm of fitting a straight line
The straight line information of image boundary；
Second obtains module, is used for according to four intersecting point coordinates of the straight line acquisition of information, and according to four intersecting point coordinates
Obtain the height and width of the bank note to be identified；
Definition module, for defining the origin coordinates point of postrotational image；
Computing module, the line displacement rate c between two pixels for obtaining the first default horizontal pixel point interval；
Obtain the line skew rate s between two pixels at default longitudinal pixel interval；
Obtain the horizontal axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pixel coordinate i to be processed is multiplied with the line displacement rate, obtains the line displacement amount xDis [i]；
The pixel coordinate i to be processed is multiplied with the line skew rate, obtains the line skew amount yDis [i]；
The pixel coordinate i to be processed is multiplied with the horizontal axis deviation ratio, obtains the horizontal axis offset RowDis [i]；
First determining module, for determining and handling the paper to be identified according to the horizontal axis offset and origin coordinates point
Origin coordinates point after coin image；
Second determining module, at determining according to the line displacement amount, the line skew amount and treated origin coordinates point
Coordinates of targets point after managing the banknote image to be identified.
6. device according to claim 5, which is characterized in that the definition module is specifically used for:
The origin coordinates point of postrotational image is (0,0), (ImgWidth-1, ImgHeight-1)；
Wherein, the width of paper moneyBank note height(the x0,y0) be the bank note to be identified image coboundary and the left side
Boundary's intersection point, (x1,y1) be the bank note to be identified image lower boundary and left margin intersection point, (x2,y2) it is the paper to be identified
The lower boundary and right margin intersection point of the image of coin, (x3,y3) handed over for the right margin of the image of the bank note to be identified with coboundary
Point.
7. device according to claim 5 or 6, which is characterized in that first determining module is specifically used for:
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0。
8. device according to claim 7, which is characterized in that second determining module is specifically used for:
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j]。
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| CN108877028B (en) * | 2017-05-15 | 2020-08-18 | 深圳怡化电脑股份有限公司 | Method, device and equipment for detecting paper money |
| CN108062821B (en) * | 2017-12-12 | 2020-04-28 | 深圳怡化电脑股份有限公司 | Edge detection method and currency detection equipment |
| CN108168456B (en) * | 2017-12-27 | 2020-06-12 | 南京鑫业诚智能科技有限公司 | Point taking method in laser scanning detection |
| CN108665605B (en) * | 2018-03-30 | 2020-03-27 | 深圳怡化电脑股份有限公司 | Paper money identification method and device |
| CN111104940A (en) * | 2018-10-26 | 2020-05-05 | 深圳怡化电脑股份有限公司 | Image rotation correction method and device, electronic equipment and storage medium |
| CN113269920B (en) * | 2021-01-29 | 2023-01-13 | 深圳怡化电脑股份有限公司 | Image positioning method and device, electronic equipment and storage medium |
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