CN102750773A - Method for positioning paper money number image region - Google Patents
Method for positioning paper money number image region Download PDFInfo
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- CN102750773A CN102750773A CN2012102024779A CN201210202477A CN102750773A CN 102750773 A CN102750773 A CN 102750773A CN 2012102024779 A CN2012102024779 A CN 2012102024779A CN 201210202477 A CN201210202477 A CN 201210202477A CN 102750773 A CN102750773 A CN 102750773A
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Abstract
The invention relates to a method for positioning a paper money number image region. The method comprises the following steps: acquiring a horizontally arranged single paper money image; acquiring the appearing region of the number of the current paper money image, respectively selecting two rows in each region, and acquiring the proportion of the quantity of pixels with the pixel values less than an upper threshold F accounting for the total quantity of the pixels; carrying out [-1, 0, 1] Sobel gradient calculation respectively on the pixels of each row in each region, and acquiring the proportion of the quantity of the pixels with the gradient calculated values larger than a lower threshold G accounting for the total quantity of the pixels; respectively calculating the sums of V1 and V2 of the sampling rows in the four regions, searching for the maximum value of the sums of V1 and V2, and taking the region corresponding to the maximum value as a number region; and amplifying the image of the number region, carrying out slant and longitudinal draw correction on the amplified image, removing the blank region of the image of the number region, and identifying characters of the image of the number region. The method disclosed by the invention has the advantages that the paper money number region can be accurately positioned and the reliability is high.
Description
Technical field
The present invention relates to a kind of image position method.
Background technology
Banknote image hat font size area positioning method is the common step of hat font size identification, mainly comprises two types in the method for announcing at present.The first kind is the projection localization method, and the image after the binaryzation is carried out level, vertical projection, and the number of the prosperous pixel of each row and each row on statistics level and the vertical direction is confirmed the number zone with this.This method receives the influence of noise spot after the binaryzation, and the location on the upper side or on the lower side easily.
Second type of localization method that is a kind of based on the rectangle frame search.Because focal length and object distance are certain when taking sample image, so the width w and the height H in pure number zone are also fixed.Setting up the rectangle that a size is w * H pixel, in the statistical picture is the sum of black pixel point in the rectangular area of left upper apex line by line with the current pixel point.Note the coordinate of the maximum rectangular area of stain sum, this coordinate both had been the coordinate in pure number zone.The method lost efficacy when handling dirty coin, old coin image easily.
Summary of the invention
For overcoming the shortcoming that locate failure appears in prior art easily, the invention provides a kind of can be exactly to bank note hat font size zone location, the localization method of the bank note hat font size image-region that reliability is high.
The localization method of bank note hat font size image-region may further comprise the steps:
1), obtains individual banknote image of horizontal positioned, banknote image and bank note in perspective;
2), obtain first area, second area, the 3rd zone and the four-range area image of current banknote image; The band of position of hat font size when is just putting in corresponding bank note front, first area; The band of position of hat font size during positive inversion of the corresponding bank note of second area; The band of position of hat font size when the 3rd regional corresponding bank note reverse side is just being put, the band of position of hat font size when the 4th regional corresponding bank note reverse side is inverted;
3), in each zone, select two line data respectively at least as the sampling row; Obtain the pixel value of each sampling row respectively; Pixel value refers to the brightness value of the pixel of forming line data; The calculating pixel value is less than the quantity of the pixel of upper limit threshold F, and pixel value is designated as V less than the ratio that the pixel quantity of upper limit threshold F accounts for the pixel total quantity
1
4), respectively pixel of each row in each zone is carried out the Sobel gradient calculation of [1,0,1], obtain the gradient calculation value and account for the ratio of pixel total quantity greater than the quantity of the pixel of lower threshold G, this ratio is designated as V
2After Sobel calculating, each location of pixels can obtain a gradient calculation value, and the gradient calculation value is big more, and the possibility that this pixel position corresponding is in the picture material edge is just big more;
5), to all sampling row in four zones, each sampling row is calculated respectively should sampling row V
1+ V
2Value, seek V
1+ V
2Maximal value, with the zone at this maximal value place as prefix sign indicating number zone;
6), prefix sign indicating number area image is amplified, and the image after will amplifying does with longitudinal stretching and proofreaies and correct, and rejects the white space of prefix sign indicating number area image, and the preservation image is discerned the character of prefix sign indicating number area image.
Further, in the step 3), each zone selects two line data as the sampling row.Two row samplings work and have often enough provided correct result, and calculated amount is little, reduces the computation burden of system.
Further, in the step 6), the candidate region image is amplified 2 times.
Further, in the step 6), through the character string numerical value of OCR character recognition program identification prefix sign indicating number area image.
Technical conceive of the present invention is: because the bank note of placement can't be distinguished by system is positive the placement or the reverse side placement; Be to be inverted or just to put; Therefore grasp four zones of banknote image, four zones are corresponding position, prefix sign indicating number zone during four kinds of modes of emplacements of corresponding bank note respectively.Calculate the pixel value in four zones respectively,, identify through the character string of OCR character recognition program at last the prefix sign indicating number to confirm the position at prefix sign indicating number place.
The present invention can accurate recognition prefix sign indicating number region, and reliability is high, and can guarantee in 100ms, to accomplish the prefix sign indicating number identification of individual bank note, is applicable to extensive commercial application.
Description of drawings
Fig. 1 is a process flow diagram of the present invention.
Embodiment
With reference to accompanying drawing, further specify the present invention:
The localization method of bank note hat font size image-region may further comprise the steps:
1), obtains individual banknote image of horizontal positioned, banknote image and bank note in perspective;
2), obtain first area, second area, the 3rd zone and the four-range area image of current banknote image; The band of position of hat font size when is just putting in corresponding bank note front, first area; The band of position of hat font size during positive inversion of the corresponding bank note of second area; The band of position of hat font size when the 3rd regional corresponding bank note reverse side is just being put, the band of position of hat font size when the 4th regional corresponding bank note reverse side is inverted;
3), in each zone, select two line data respectively at least as the sampling row; Obtain the pixel value of each sampling row respectively; Pixel value refers to the brightness value of the pixel of forming line data; The calculating pixel value is less than the quantity of the pixel of upper limit threshold F, and pixel value is designated as V less than the ratio that the pixel quantity of upper limit threshold F accounts for the pixel total quantity
1
4), respectively pixel of each row in each zone is carried out the Sobel gradient calculation of [1,0,1], obtain the gradient calculation value and account for the ratio of pixel total quantity greater than the quantity of the pixel of lower threshold G, this ratio is designated as V
2After Sobel calculating, each location of pixels can obtain a gradient calculation value, and the gradient calculation value is big more, and the possibility that this pixel position corresponding is in the picture material edge is just big more;
5), to all sampling row in four zones, each sampling row is calculated respectively should sampling row V
1+ V
2Value, seek V
1+ V
2Maximal value, with the zone at this maximal value place as prefix sign indicating number zone;
6), prefix sign indicating number area image is amplified, and the image after will amplifying does with longitudinal stretching and proofreaies and correct, and rejects the white space of prefix sign indicating number area image, and the preservation image is discerned the character of prefix sign indicating number area image.
In the step 3), each zone selects two line data as the sampling row.Two row samplings work and have often enough provided correct result, and calculated amount is little, reduces the computation burden of system.
In the step 6), the candidate region image is amplified 2 times.And character string numerical value through OCR character recognition program identification prefix sign indicating number area image.
Technical conceive of the present invention is: because the bank note of placement can't be distinguished by system is positive the placement or the reverse side placement; Be to be inverted or just to put; Therefore grasp four zones of banknote image, four zones are corresponding position, prefix sign indicating number zone during four kinds of modes of emplacements of corresponding bank note respectively.Calculate the pixel value in four zones respectively,, identify through the character string of OCR character recognition program at last the prefix sign indicating number to confirm the position at prefix sign indicating number place.
The present invention can accurate recognition prefix sign indicating number region, and reliability is high, and can guarantee in 100ms, to accomplish the prefix sign indicating number identification of individual bank note, is applicable to extensive commercial application.
The described content of this instructions embodiment only is enumerating the way of realization of inventive concept; Protection scope of the present invention should not be regarded as and only limit to the concrete form that embodiment states, protection scope of the present invention also reach in those skilled in the art conceive according to the present invention the equivalent technologies means that can expect.
Claims (3)
1. bank note is preced with the localization method of font size image-region, may further comprise the steps:
1), obtains individual banknote image of horizontal positioned, banknote image and bank note in perspective;
2), obtain first area, second area, the 3rd zone and the four-range area image of current banknote image; The band of position of hat font size when is just putting in corresponding bank note front, first area; The band of position of hat font size during positive inversion of the corresponding bank note of second area; The band of position of hat font size when the 3rd regional corresponding bank note reverse side is just being put, the band of position of hat font size when the 4th regional corresponding bank note reverse side is inverted;
3), in each zone, select two line data respectively at least as the sampling row; Obtain the pixel value of each sampling row respectively; Pixel value refers to the brightness value of the pixel of forming line data; The calculating pixel value is less than the quantity of the pixel of upper limit threshold F, and pixel value is designated as V less than the ratio that the pixel quantity of upper limit threshold F accounts for the pixel total quantity
1
4), respectively pixel of each row in each zone is carried out the Sobel gradient calculation of [1,0,1], obtain the gradient calculation value and account for the ratio of pixel total quantity greater than the quantity of the pixel of lower threshold G, this ratio is designated as V
2After Sobel calculating, each location of pixels can obtain a gradient calculation value, and the gradient calculation value is big more, and the possibility that this pixel position corresponding is in the picture material edge is just big more;
5), to all sampling row in four zones, each sampling row is calculated respectively should sampling row V
1+ V
2Value, seek V
1+ V
2Maximal value, with the zone at this maximal value place as prefix sign indicating number zone;
6), prefix sign indicating number area image is amplified, and the image after will amplifying does with longitudinal stretching and proofreaies and correct, and rejects the white space of prefix sign indicating number area image, and the preservation image is discerned the character of prefix sign indicating number area image.
2. the localization method of bank note hat font size image-region as claimed in claim 1 is characterized in that: in the step 6, the candidate region image is amplified 2 times.
3. the localization method of bank note hat font size image-region as claimed in claim 2 is characterized in that: through the character string numerical value of OCR character recognition program identification prefix sign indicating number area image.
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| CN201210202477.9A CN102750773B (en) | 2012-06-15 | 2012-06-15 | Method for positioning paper money number image region |
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| CN201210202477.9A CN102750773B (en) | 2012-06-15 | 2012-06-15 | Method for positioning paper money number image region |
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| CN102750773B CN102750773B (en) | 2014-07-30 |
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Cited By (7)
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| CN105046252A (en) * | 2014-11-21 | 2015-11-11 | 华中科技大学 | Method for recognizing Renminbi (Chinese currency yuan) crown codes |
| CN106355743A (en) * | 2015-07-14 | 2017-01-25 | 深圳怡化电脑股份有限公司 | Banknote version identification method and device |
| CN106600812A (en) * | 2016-12-14 | 2017-04-26 | 深圳怡化电脑股份有限公司 | Paper currency recognition method and paper currency recognition device |
| CN108074323A (en) * | 2016-11-15 | 2018-05-25 | 深圳怡化电脑股份有限公司 | A kind of bank note towards recognition methods and its device |
| CN108831004A (en) * | 2017-05-02 | 2018-11-16 | 深圳怡化电脑股份有限公司 | The determination method, apparatus and automatic depositing-withdrawing equipment in paper money number region |
| CN108961531A (en) * | 2017-05-17 | 2018-12-07 | 深圳怡化电脑股份有限公司 | Method, apparatus, equipment and the storage medium of paper money number identification |
| CN112990150A (en) * | 2021-05-10 | 2021-06-18 | 恒银金融科技股份有限公司 | Method for measuring upper and lower boundaries of crown word number based on projection bidirectional accumulation sum |
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| CN107085882A (en) * | 2017-06-02 | 2017-08-22 | 深圳怡化电脑股份有限公司 | A kind of method and device for determining counterfeit money |
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Cited By (10)
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|---|---|---|---|---|
| CN105046252A (en) * | 2014-11-21 | 2015-11-11 | 华中科技大学 | Method for recognizing Renminbi (Chinese currency yuan) crown codes |
| CN105046252B (en) * | 2014-11-21 | 2018-09-07 | 华中科技大学 | A kind of RMB prefix code recognition methods |
| CN106355743A (en) * | 2015-07-14 | 2017-01-25 | 深圳怡化电脑股份有限公司 | Banknote version identification method and device |
| CN108074323A (en) * | 2016-11-15 | 2018-05-25 | 深圳怡化电脑股份有限公司 | A kind of bank note towards recognition methods and its device |
| CN106600812A (en) * | 2016-12-14 | 2017-04-26 | 深圳怡化电脑股份有限公司 | Paper currency recognition method and paper currency recognition device |
| CN106600812B (en) * | 2016-12-14 | 2019-12-06 | 深圳怡化电脑股份有限公司 | Paper money identification method and device |
| CN108831004A (en) * | 2017-05-02 | 2018-11-16 | 深圳怡化电脑股份有限公司 | The determination method, apparatus and automatic depositing-withdrawing equipment in paper money number region |
| CN108961531A (en) * | 2017-05-17 | 2018-12-07 | 深圳怡化电脑股份有限公司 | Method, apparatus, equipment and the storage medium of paper money number identification |
| CN108961531B (en) * | 2017-05-17 | 2020-10-20 | 深圳怡化电脑股份有限公司 | Method, device and equipment for identifying serial number of paper currency and storage medium |
| CN112990150A (en) * | 2021-05-10 | 2021-06-18 | 恒银金融科技股份有限公司 | Method for measuring upper and lower boundaries of crown word number based on projection bidirectional accumulation sum |
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| Publication number | Publication date |
|---|---|
| CN102750773B (en) | 2014-07-30 |
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