CN106504407A - A kind of method and device for processing banknote image - Google Patents
A kind of method and device for processing banknote image Download PDFInfo
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- CN106504407A CN106504407A CN201610942453.5A CN201610942453A CN106504407A CN 106504407 A CN106504407 A CN 106504407A CN 201610942453 A CN201610942453 A CN 201610942453A CN 106504407 A CN106504407 A CN 106504407A
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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 device for processing banknote image.The method includes：The image boundary of bank note to be identified is obtained, and the straight line information on described image border 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 the height and width of the bank note to be identified is obtained according to four intersecting point coordinates；The origin coordinates point of postrotational image is defined, and the line displacement amount after skew, line skew amount and transverse axis side-play amount are calculated according to default bias quantity algorithm；According to the transverse axis side-play amount and origin coordinates point, the origin coordinates point after processing the banknote image to be identified is determined；According to the origin coordinates point after the line displacement amount, the line skew amount and process, the coordinates of targets point after processing the banknote image to be identified is determined.So as to realize rotational correction geometric manipulations being sat to original image, facilitate later stage false distinguishing algorithm development；Being rotated using ranks side-play amount mode reduces the time complexity of rotation processing.
Description
Technical field
The present embodiments relate to the technical field of bill handling, more particularly to a kind of method for processing banknote image and dress
Put.
Background technology
Currency is the medium of the exchange of commodities, is the accompaniment of human economic development and trade process.Bank note is in very long goods
In occupation of critical role in coin history, with money flow, the development of various ways, even if the present started to rise in electronic money
My god, bank note cash circulation is still at present the most important mode of financial quarters's money flow in the world.People commonly use magnetic oil at present
The method identification note true and falses such as ink detection, Ultraluminescence detection and infrared penetration-detection, by detecting that Paper Money Size recognizes which
Face amount, it is single that these methods obtain information, it is impossible to recognizes the situations such as incomplete bank note, pollution and abrasion, can not recognize bank note sequence
Row number.
And many information can be obtained from banknote image, including Paper Money Size, face amount, it is stained situation, abrasion journey
Degree and sequence number etc..With digital image processing techniques, the development of mode identification technology, banknote image recognition methods becomes
Presently the most popular bank note analysis method.However, what the banknote image for collecting typically was inclined, it is necessary to enter line tilt to bank note
Correction, otherwise cannot extract banknote area exactly and carry out paper money recognition.
It is typically due to bank note edge and background area and there is more obvious gray scale difference, the general method for adopting is to pass through
HOUGH conversion (Hough transformation) extracts bank note edge, obtains the angle of tilt of paper money, is then corrected.But have two originals
Because affecting Hough transformation to extract the precision at bank note edge：After one has been bank note use time length, edge wears, with background contrast
Degree is not obvious；Two is bank note edge abrasion, produces sawtooth, causes occur mistake during Hough transformation edge extracting, and slant correction loses
Lose, it is impossible to extract banknote area.Therefore, it is necessary to adopt suitable method, calculate bank note gradient exactly and extract paper money zone
Domain, is that paper money recognition lays the first stone.
Content of the invention
The purpose of the embodiment of the present invention is to propose a kind of method and device for processing banknote image, it is intended to which how right solve
The border of banknote image carries out the problem of rotation processing.
It is that the embodiment of the present invention is employed the following technical solutions up to this purpose：
In a first aspect, a kind of method for processing banknote image, methods described includes：
The image boundary of bank note to be identified is obtained, and the straight line on described image border is obtained according to default Algorithm of fitting a straight line
Information；
According to four intersecting point coordinates of the straight line acquisition of information, and obtained according to four intersecting point coordinates described to be identified
The height and width of bank note；
The origin coordinates point of postrotational image is defined, and the line displacement after skew is calculated according to default bias quantity algorithm
Amount, line skew amount and transverse axis side-play amount；
According to the transverse axis side-play amount and origin coordinates point, the starting after processing the banknote image to be identified is determined
Coordinate points；
According to the origin coordinates point after the line displacement amount, the line skew amount and process, determine that process is described to be identified
Coordinates of targets point after banknote image.
Preferably, the origin coordinates point for defining postrotational image, including：
The origin coordinates point of postrotational image for (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 left margin intersection point, (x1,y1) it is the bank note to be identified
Image lower boundary and left margin intersection point, (x2,y2) be the bank note to be identified image lower boundary and right margin intersection point,
(x3,y3) be the bank note to be identified image right margin and coboundary intersection point.
Preferably, described according to default bias quantity algorithm calculate skew after line displacement amount, line skew amount and transverse axis skew
Amount, including：
Obtain line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain line skew rate s between two pixels at default longitudinal direction pixel interval；
Obtain transverse axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pending pixel coordinate i is multiplied with the line displacement rate, is obtained line displacement amount xDis [i]；
The pending pixel coordinate i is multiplied with the line skew rate, is obtained line skew amount yDis [i]；
The pending pixel coordinate i is multiplied with the transverse axis deviation ratio, transverse axis side-play amount RowDis is obtained
[i].
Preferably, described according to the transverse axis side-play amount and origin coordinates point, determine and process the bank note to be identified
Origin coordinates point after image, including：
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0.
Preferably, the origin coordinates point according to after the line displacement amount, the line skew amount and process, determination are processed
Coordinates of targets point after the banknote image to be identified, including：
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 of process banknote image, described device include：
First acquisition module, for obtaining the image boundary of bank note to be identified, and obtains according to default Algorithm of fitting a straight line
The straight line information on described image border；
Second acquisition module, 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, inclined for calculating the line displacement amount after skew, line skew amount and transverse axis according to default bias quantity algorithm
Shifting amount；
First determining module, for according to the transverse axis side-play amount and origin coordinates point, determining and waiting to know described in processing
Origin coordinates point after other banknote image；
Second determining module, for according to the line displacement amount, the line skew amount and process after origin coordinates point, really
Coordinates of targets point after the banknote image to be identified is processed surely.
Preferably, the definition module, specifically for：
The origin coordinates point of postrotational image for (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 left margin intersection point, (x1,y1) it is the bank note to be identified
Image lower boundary and left margin intersection point, (x2,y2) be the bank note to be identified image lower boundary and right margin intersection point,
(x3,y3) be the bank note to be identified image right margin and coboundary intersection point.
Preferably, the computing module, specifically for：
Obtain line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain line skew rate s between two pixels at default longitudinal direction pixel interval；
Obtain transverse axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pending pixel coordinate i is multiplied with the line displacement rate, is obtained line displacement amount xDis [i]；
The pending pixel coordinate i is multiplied with the line skew rate, is obtained line skew amount yDis [i]；
The pending pixel coordinate i is multiplied with the transverse axis deviation ratio, transverse axis side-play amount RowDis is obtained
[i].
Preferably, first determining module, specifically for：
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0.
Preferably, second determining module, specifically 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 processing banknote image, obtains the image side of bank note to be identified
Boundary, and the straight line information on described image border is obtained according to default Algorithm of fitting a straight line；According to the straight line acquisition of information four
Intersecting point coordinate, and the height and width of the bank note to be identified is obtained according to four intersecting point coordinates；Define postrotational figure
The origin coordinates point of picture, and the line displacement amount after skew, line skew amount and transverse axis side-play amount are calculated according to default bias quantity algorithm；
According to the transverse axis side-play amount and origin coordinates point, the origin coordinates point after processing the banknote image to be identified is determined；
According to the origin coordinates point after the line displacement amount, the line skew amount and process, determine and process the banknote image to be identified
Coordinates of targets point afterwards.So as to realize rotational correction geometric manipulations being sat to original image, facilitate later stage false distinguishing algorithm development；Use
Ranks side-play amount mode rotates the time complexity for reducing rotation processing.
Description of the drawings
Fig. 1 is a kind of schematic flow sheet of method for processing banknote image provided in an embodiment of the present invention；
Fig. 2 is a kind of high-level schematic functional block diagram of device for processing banknote image provided in an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples the embodiment of the present invention is described in further detail.It is understood that this
The described specific embodiment in place 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 for the ease of description, illustrate only the part related to the embodiment of the present invention rather than entire infrastructure in accompanying drawing.
With reference to Fig. 1, Fig. 1 is a kind of schematic flow sheet of method for processing banknote image provided in an embodiment of the present invention.
As shown in figure 1, the method for processing banknote image includes：
Step 101, obtains the image boundary of bank note to be identified, and obtains described image side 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 obtains institute according to four intersecting point coordinates
State the height and width of bank note to be identified；
Step 103, defines the origin coordinates point of postrotational image, and is calculated after skew according to default bias quantity algorithm
Line displacement amount, line skew amount and transverse axis side-play amount；
Preferably, the origin coordinates point for defining postrotational image, including：
The origin coordinates point of postrotational image for (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 left margin intersection point, (x1,y1) it is the bank note to be identified
Image lower boundary and left margin intersection point, (x2,y2) be the bank note to be identified image lower boundary and right margin intersection point,
(x3,y3) be the bank note to be identified image right margin and coboundary intersection point.
Preferably, described according to default bias quantity algorithm calculate skew after line displacement amount, line skew amount and transverse axis skew
Amount, including：
Obtain line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain line skew rate s between two pixels at default longitudinal direction pixel interval；
Obtain transverse axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Specifically,
Pending pixel coordinate i is multiplied with the line displacement rate, is obtained line displacement amount xDis [i]；
The pending pixel coordinate i is multiplied with the line skew rate, is obtained line skew amount yDis [i]；
The pending pixel coordinate i is multiplied with the transverse axis deviation ratio, transverse axis side-play amount RowDis is obtained
[i].
Specifically, the line displacement amount=pixel coordinate * line displacement rates, concrete form is：XDis [i]=i*c；
The line skew amount=pixel coordinate * line skew rates, concrete form is：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.
Transverse axis side-play amount：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
Go.
Step 104, according to the transverse axis side-play amount and origin coordinates point, determines and processes the banknote image to be identified
Origin coordinates point afterwards；
Preferably, described according to the transverse axis side-play amount and origin coordinates point, determine and process the bank note to be identified
Origin coordinates point after image, including：
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 origin coordinates point after the line displacement amount, the line skew amount and process, determines and processes institute
State the coordinates of targets point after banknote image to be identified.
Preferably, the origin coordinates point according to after the line displacement amount, the line skew amount and process, determination are processed
Coordinates of targets point after the banknote image to be identified, including：
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 processing banknote image, obtains the image boundary of bank note to be identified, and root
According to the straight line information that default Algorithm of fitting a straight line obtains described image border；Sat according to four intersection points of the straight line acquisition of information
Mark, and the height and width of the bank note to be identified is obtained according to four intersecting point coordinates；Define rising for postrotational image
Beginning coordinate points, and the line displacement amount after skew, line skew amount and transverse axis side-play amount are calculated according to default bias quantity algorithm；According to institute
Transverse axis side-play amount and origin coordinates point is stated, the origin coordinates point after processing the banknote image to be identified is determined；According to institute
Origin coordinates point after stating line displacement amount, the line skew amount and processing, determines the mesh after processing the banknote image to be identified
Mark coordinate points.So as to realize rotational correction geometric manipulations being sat to original image, facilitate later stage false distinguishing algorithm development；Inclined using ranks
Shifting amount mode rotates the time complexity for reducing rotation processing.
With reference to Fig. 2, Fig. 2 is that a kind of functional module of device for processing banknote image provided in an embodiment of the present invention is illustrated
Figure.
As shown in Fig. 2 described device includes：
First acquisition module 201, for obtaining the image boundary of bank note to be identified, and obtains according to default Algorithm of fitting a straight line
Take the straight line information on described image border；
Second acquisition module 202, for according to four intersecting point coordinates of the straight line acquisition of information, and hands over according to described four
Point coordinates 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, specifically for：
The origin coordinates point of postrotational image for (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 left margin intersection point, (x1,y1) it is the bank note to be identified
Image lower boundary and left margin intersection point, (x2,y2) be the bank note to be identified image lower boundary and right margin intersection point,
(x3,y3) be the bank note to be identified image right margin and coboundary intersection point.
Computing module 204, for calculating the line displacement amount after skew, line skew amount and transverse axis according to default bias quantity algorithm
Side-play amount；
Preferably, the computing module 204, specifically for：
Obtain line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain line skew rate s between two pixels at default longitudinal direction pixel interval；
Obtain transverse axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pending pixel coordinate i is multiplied with the line displacement rate, is obtained line displacement amount xDis [i]；
The pending pixel coordinate i is multiplied with the line skew rate, is obtained line skew amount yDis [i]；
The pending pixel coordinate i is multiplied with the transverse axis deviation ratio, transverse axis side-play amount RowDis is obtained
[i].
First determining module 205, for according to the transverse axis side-play amount and origin coordinates point, determining and treating described in processing
Origin coordinates point after identification banknote image；
Preferably, first determining module 205, specifically 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 origin coordinates after the line displacement amount, the line skew amount and process
Point, determines the coordinates of targets point after processing the banknote image to be identified.
Preferably, second determining module 206, specifically 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 processing banknote image, obtains the image boundary of bank note to be identified, and root
According to the straight line information that default Algorithm of fitting a straight line obtains described image border；Sat according to four intersection points of the straight line acquisition of information
Mark, and the height and width of the bank note to be identified is obtained according to four intersecting point coordinates；Define rising for postrotational image
Beginning coordinate points, and the line displacement amount after skew, line skew amount and transverse axis side-play amount are calculated according to default bias quantity algorithm；According to institute
Transverse axis side-play amount and origin coordinates point is stated, the origin coordinates point after processing the banknote image to be identified is determined；According to institute
Origin coordinates point after stating line displacement amount, the line skew amount and processing, determines the mesh after processing the banknote image to be identified
Mark coordinate points.So as to realize rotational correction geometric manipulations being sat to original image, facilitate later stage false distinguishing algorithm development；Inclined using ranks
Shifting amount mode rotates the time complexity for reducing rotation processing.
Above in association with the know-why that specific embodiment describes the embodiment of the present invention.These descriptions are intended merely to explain this
The principle of inventive embodiments, and the restriction to embodiment of the present invention protection domain can not be construed to by any way.Based on herein
Explanation, those skilled in the art associate by need not paying performing creative labour the embodiment of the present invention other are concrete
Embodiment, these modes are fallen within the protection domain of the embodiment of the present invention.
Claims (10)
1. a kind of process banknote image method, it is characterised in that methods described includes：
The image boundary of bank note to be identified is obtained, and the straight line letter on described image border is obtained according to default Algorithm of fitting a straight line
Breath；
According to four intersecting point coordinates of the straight line acquisition of information, and the bank note to be identified is obtained according to four intersecting point coordinates
Height and width；
The origin coordinates point of postrotational image is defined, and the line displacement amount after skew, row are calculated according to default bias quantity algorithm
Side-play amount and transverse axis side-play amount；
According to the transverse axis side-play amount and origin coordinates point, the origin coordinates after processing the banknote image to be identified is determined
Point；
According to the origin coordinates point after the line displacement amount, the line skew amount and process, determine and process the bank note to be identified
Coordinates of targets point after image.
2. method according to claim 1, it is characterised in that the origin coordinates point of the postrotational image of the definition, bag
Include：
The origin coordinates point of postrotational image for (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 left margin intersection point, (x1,y1) it is the bank note to be identified
Image lower boundary and left margin intersection point, (x2,y2) be the bank note to be identified image lower boundary and right margin intersection point,
(x3,y3) be the bank note to be identified image right margin and coboundary intersection point.
3. method according to claim 1, it is characterised in that described calculate the row after skew according to default bias quantity algorithm
Side-play amount, line skew amount and transverse axis side-play amount, including：
Obtain line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain line skew rate s between two pixels at default longitudinal direction pixel interval；
Obtain transverse axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pending pixel coordinate i is multiplied with the line displacement rate, is obtained line displacement amount xDis [i]；
The pending pixel coordinate i is multiplied with the line skew rate, is obtained line skew amount yDis [i]；
The pending pixel coordinate i is multiplied with the transverse axis deviation ratio, is obtained transverse axis side-play amount RowDis [i].
4. according to the method in claim 2 or 3, it is characterised in that described according to the transverse axis side-play amount and the starting
Coordinate points, determine the origin coordinates point after processing the banknote image to be identified, including：
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0.
5. method according to claim 4, it is characterised in that described according to the line displacement amount, the line skew amount and
Origin coordinates point after process, determines the coordinates of targets point after processing the banknote image to be identified, including：
The abscissa x of the coordinates of targets pointj=x1+xDis[j]；
The ordinate y of the coordinates of targets pointj=y1+yDis[j].
6. a kind of process banknote image device, it is characterised in that described device includes：
First acquisition module, for obtaining the image boundary of bank note to be identified, and according to default Algorithm of fitting a straight line is obtained
The straight line information of image boundary；
Second acquisition module, 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, for calculating the line displacement amount after skew, line skew amount and transverse axis side-play amount according to default bias quantity algorithm；
First determining module, for according to the transverse axis side-play amount and origin coordinates point, determining and processing the paper to be identified
Origin coordinates point after coin image；
Second determining module, for according to the line displacement amount, the line skew amount and process after origin coordinates point, at determination
Manage the coordinates of targets point after the banknote image to be identified.
7. device according to claim 6, it is characterised in that the definition module, specifically for：
The origin coordinates point of postrotational image for (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 left margin intersection point, (x1,y1) it is the bank note to be identified
The lower boundary of image and left margin intersection point, (x2,y2) be the bank note to be identified image lower boundary and right margin intersection point,
(x3,y3) be the bank note to be identified image right margin and coboundary intersection point.
8. device according to claim 6, it is characterised in that the computing module, specifically for：
Obtain line displacement rate c between two pixels at the first default horizontal pixel point interval；
Obtain line skew rate s between two pixels at default longitudinal direction pixel interval；
Obtain transverse axis deviation ratio ccs between two pixels at the second default horizontal pixel point interval；
Pending pixel coordinate i is multiplied with the line displacement rate, is obtained line displacement amount xDis [i]；
The pending pixel coordinate i is multiplied with the line skew rate, is obtained line skew amount yDis [i]；
The pending pixel coordinate i is multiplied with the transverse axis deviation ratio, is obtained transverse axis side-play amount RowDis [i].
9. the device according to claim 7 or 8, it is characterised in that first determining module, specifically for：
The abscissa x of the origin coordinates1=x0-RowDis[i]；
The ordinate y of the origin coordinates1=i+y0.
10. device according to claim 9, it is characterised in that second determining module, specifically 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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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108062821A (en) * | 2017-12-12 | 2018-05-22 | 深圳怡化电脑股份有限公司 | Edge detection method and money-checking equipment |
| CN108168456A (en) * | 2017-12-27 | 2018-06-15 | 南京鑫业诚智能科技有限公司 | A new method is taken in a kind of laser scanning inspection |
| CN108665605A (en) * | 2018-03-30 | 2018-10-16 | 深圳怡化电脑股份有限公司 | Paper Currency Identification and device |
| CN108877028A (en) * | 2017-05-15 | 2018-11-23 | 深圳怡化电脑股份有限公司 | A kind of detection method of bank note, device and equipment |
| 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 |
| CN113269920A (en) * | 2021-01-29 | 2021-08-17 | 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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