CN107437293A - A kind of bill anti-counterfeit discrimination method based on bill global characteristics - Google Patents
A kind of bill anti-counterfeit discrimination method based on bill global characteristics Download PDFInfo
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- 238000007781 pre-processing Methods 0.000 claims description 7
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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
- G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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Abstract
The invention discloses a kind of bill anti-counterfeit discrimination method based on bill global characteristics, including：Image of the bill under different spectral illuminations is gathered, pretreatment operation is carried out to the bill images collected, bill images parameter is met standard ticket image template；Bill images are transformed into HSI color spaces, obtain bill tone, saturation degree and luminance component characteristic image；The component pixel matrix and standard picture of the tone of bill global characteristics image, saturation degree and luminance component are detected, obtain the relative coefficient of tone, saturation degree and the amount of showing the score；Tested bill images and the population characteristic valuve property coefficient of standard ticket image overall feature are calculated, bill characteristic matching result is judged according to relative coefficient, the true and false of bill is judged with this.The intelligent extraction of the achievable bill global characteristics of the present invention, and relevance evaluation is carried out to the HSI images for being detected bill and standard ticket global characteristics automatically, compared with threshold value set in advance, judge papers, realize that bill intelligent anti-counterfeiting differentiates.
Description
Technical Field
The invention relates to the technical field of bill anti-counterfeiting identification, in particular to a bill anti-counterfeiting identification method based on global characteristics of bills.
Background
The bill is made up according to a certain form, and is a certificate written with obligation for paying a certain money amount, and is a certificate for receiving or conveying goods. With the rapid development of national economy and science and technology, bills are increasingly widely applied in daily life, and the diversity and complexity of bill layouts are correspondingly increased, but at present, the bills have the problems of poor management, difficult authenticity identification and the like, so that many lawless persons can earn a strong profit by making fake bills in society, the counterfeit phenomenon and the technology layer of the bills are infinite, and the high prevalence of the fake bills such as 'clone bills', 'counterfeit bills', 'altered bills' and the like causes serious economic loss to the country while the economic order of the social market is damaged.
In order to ensure the safety of bill transaction, some anti-counterfeiting technologies are generally adopted on bills, and the anti-counterfeiting characteristics of the bills mainly include paper anti-counterfeiting, ink anti-counterfeiting and design printing anti-counterfeiting, wherein the ink anti-counterfeiting is that a layer of special anti-counterfeiting ink is coated on the bills, so that the anti-counterfeiting ink can generate images with different anti-counterfeiting characteristics under the irradiation of light rays with different spectrums, and the purpose of judging the authenticity of the bills is achieved by comparing the anti-counterfeiting characteristics of the images. On the basis, the invention provides a bill anti-counterfeiting identification method based on bill global characteristics, which comprises the steps of converting RGB images of a detected bill under different spectrum illumination acquired by an image sensor into an HSI color model, evaluating the correlation between a global characteristic image H (hue), S (saturation) and I (brightness) component pixel matrix of the detected bill and a hue, saturation and brightness component pixel matrix of a standard bill image, weighting and summing the correlation coefficients of the hue, saturation and brightness components to obtain the correlation coefficient of the global characteristics of the detected bill image and the standard bill image, comparing the correlation coefficient with a preset threshold value to judge the authenticity of the bill, and realizing the intelligent bill anti-counterfeiting identification.
The current bill identification technology which is closer to the patent mainly comprises the following steps:
1) and an intelligent bill discriminator based on multispectral characteristics, and has a patent number CN 202373062U. The utility model discloses a bill intelligent identification appearance and bill anti-fake method based on multispectral characteristic deposits electronic tags with bill multispectral characteristic earlier, recycles bill intelligent identification appearance and draws bill spectrum characteristic, compares with the standard characteristic of storage in the electronic tags label, judges the bill true and false. Compared with the utility model, the invention converts the bill image from RGB color space to HSI color model before extracting and matching the characteristic value of the bill, and the model is more suitable for being applied to the characteristic detection and analysis of the color image than the RGB model, and can effectively improve the accuracy and reliability of the bill detection system.
2) "a method for identifying a document of value", application No. 201510176330.0. The invention discloses a method for identifying a valuable bill, which comprises the steps of collecting color data of a valuable bill to be detected through a color collecting device comprising a plurality of color sensors, matching a one-dimensional vector formed by the average values of all subsections with small color change in color data in color tone data corresponding to the color data with a template, and determining the type of the valuable bill according to a matching result. Compared with the method, the method is based on the global note feature for detection, area segmentation is not carried out, feature recognition and correlation evaluation are carried out after the original note RGB image is converted into the HSI color model, and the purpose of detecting the note authenticity is finally achieved. .
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a ticket anti-counterfeiting identification method based on global characteristics of a ticket.
The purpose of the invention is realized by the following technical scheme:
a bill anti-counterfeiting identification method based on global characteristics of bills comprises the following steps: the method comprises the following steps of preprocessing the bill image, converting an HSI (high speed integration) model of the bill image and matching global features of the bill image:
step A, collecting images of a bill to be detected under different spectrum irradiation, and carrying out preprocessing operation on the collected bill images to enable the bill image parameters to accord with a standard bill image template;
step B, converting the image of the detected bill into an HSI color space, and acquiring a component characteristic image of the hue H, the saturation S and the brightness I of the bill;
c, carrying out related detection on the component pixel matrixes of the hue H, the saturation S and the brightness I component of the global characteristic image of the bill and the standard image to obtain the correlation coefficients of the hue H, the saturation S and the brightness I component;
and D, calculating the overall correlation coefficient of the global features of the detected bill image and the standard bill image, and judging the bill feature matching result according to the correlation coefficient so as to judge the authenticity of the bill.
One or more embodiments of the present invention may have the following advantages over the prior art:
the method comprises the steps of bill image preprocessing, bill image HSI model conversion and bill global feature matching, can realize the bill image preprocessing and the global feature acquisition, evaluates the correlation between the image features of the detected bill and the features of the standard bill image, finishes judgment according to the evaluation result and realizes the intelligent anti-counterfeiting authentication of the bill.
Drawings
FIG. 1 is a flow chart of a bill anti-counterfeiting identification method based on global characteristics of a bill;
FIG. 2 is a gray scale image of an RGB feature image illuminated by bill ultraviolet light;
FIG. 3 is an HSI feature image tone component image illuminated by bill ultraviolet light;
FIG. 4 is an HSI feature image saturation component image of note ultraviolet illumination;
fig. 5 is an HSI characteristic image luminance component image irradiated by ultraviolet light of a bill.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings.
As shown in fig. 1, the bill anti-counterfeiting identification method based on the global characteristics of the bill comprises the following steps:
step 10, collecting images of the bill to be detected under different spectrum irradiation, and preprocessing the collected bill images to enable the bill image parameters to accord with standard bill image templates;
step 20, converting the image of the detected bill into an HSI color space, and acquiring a characteristic image of the hue H, the saturation S and the brightness I component of the bill;
step 30, carrying out related detection on the component pixel matrixes of the hue H, the saturation S and the brightness I component of the global characteristic image of the bill and the standard image to obtain the correlation coefficients of the hue H, the saturation S and the brightness I component;
and step 40, calculating the overall correlation coefficient of the global characteristics of the detected bill image and the standard bill image, and judging the bill characteristic matching result according to the correlation coefficient so as to judge the authenticity of the bill.
The step 10 specifically includes:
processing the bill to be detected by infrared light irradiation, infrared light projection, ultraviolet light irradiation and the like to enable the surface of the bill to present different characteristic patterns; taking ultraviolet light irradiation as an example, a global characteristic image of a bill irradiated by ultraviolet light is collected, as shown in fig. 2, since the position of the bill entering the detector may deviate, position correction and scaling operation need to be performed on the collected bill image, so that the position and size of the detected bill image are in accordance with those of a standard bill image, and the bill anti-counterfeiting identification accuracy is improved.
The step 20 specifically includes:
the method converts the preprocessed bill image model, and because the brightness component in the HSI color model is irrelevant to the color information of the image, and the hue and saturation components reflect the color perception mode of the human visual system, the HSI model is very suitable for the color image characteristic detection and analysis, so that the invention converts the acquired bill global characteristic image RGB model into the HSI model, and the corresponding relations between the parameters of H (hue), S (saturation), I (brightness) and the parameters of R (red), G (green) and B (blue) are as follows:
wherein,
after the conversion, a bill HSI image with global features is obtained, and the characteristic images of hue, saturation and brightness components in the bill HSI image are extracted, as shown in fig. 3, 4 and 5.
The step 30 specifically includes:
respectively carrying out correlation evaluation on hue, saturation and brightness component pixel matrixes of the HSI image of the global characteristic of the bill and hue, saturation and brightness component pixel matrixes of a standard bill image, taking the correlation evaluation of hue component pixel matrixes of the bill image as an example, H and HsRespectively representing tone component pixel matrixes of the bill image to be checked and the standard bill image,andrespectively representing the average value of the tone component pixel matrixes of the bill image to be checked and the standard bill image, wherein the total number of the pixel points of the bill image is N, and the correlation coefficient Cof (H, H) of the tone component of the bill image to be checked and the standard bill imageS) Can be of the formulaAnd (3) calculating:
similarly, the correlation coefficient Cof (S, S) of the saturation and brightness component pixel matrix of the global characteristic image of the ticket data and the saturation and brightness component pixel matrix of the standard ticket data image can be calculatedS)、Cof(I,IS)。
The step 40 specifically includes:
weighting and summing the global feature correlation coefficients of the bill hue, saturation and brightness component pixel matrix to obtain the correlation coefficient of the global features of the detected bill image and the standard bill image:
Cof＝λH·Cof(H,HS)+λS·Cof(S,SS)+λI·Cof(I,IS)
wherein λH、λS、λIRespectively hue, saturation, luminance component pixel matrix weighting coefficients.
Setting global characteristic image correlation coefficient threshold Cof of billthComparison of Cof and CofthThe size relation is used for judging whether the global features of the detected bill image are matched with the global features of the standard bill image.
Although the embodiments of the present invention have been described above, the above descriptions are only for the convenience of understanding the present invention, and are not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A bill anti-counterfeiting identification method based on global characteristics of bills is characterized by comprising the following steps: the method comprises the following steps of preprocessing the bill image, converting an HSI (high speed integration) model of the bill image and matching global features of the bill image:
step A, collecting images of a bill to be detected under different spectrum irradiation, and carrying out preprocessing operation on the collected bill images to enable the bill image parameters to accord with a standard bill image template;
step B, converting the image of the detected bill into an HSI color space, and acquiring a component characteristic image of the hue H, the saturation S and the brightness I of the bill;
c, carrying out related detection on the component pixel matrixes of the hue H, the saturation S and the brightness I component of the global characteristic image of the bill and the standard image to obtain the correlation coefficients of the hue H, the saturation S and the brightness I component;
and D, calculating the overall correlation coefficient of the global characteristics of the detected bill image and the standard bill image, and judging the bill characteristic matching result according to the correlation coefficient so as to judge the authenticity of the bill.
2. The method for counterfeit prevention and identification of bills based on global characteristics of bills according to claim 1, wherein the step a specifically comprises:
carrying out infrared light irradiation, infrared light projection and ultraviolet light irradiation treatment on the bill to be detected so as to enable the surface of the bill to present different characteristic patterns;
the pretreatment of the acquired bill image comprises the following steps: the position correction and the zooming operation of the bill image enable the position and the size of the detected bill image to be in accordance with the standard bill image so as to improve the anti-counterfeiting identification accuracy of the bill.
3. The method for counterfeit prevention and identification of bills based on global characteristics of bills according to claim 1, wherein the step B specifically comprises:
converting the preprocessed bill image model, namely converting a bill global feature image RGB model into an HSI model, wherein the corresponding relations among hue H, saturation S and brightness I parameters and red R, green G and blue B parameters are as follows:
wherein,
and obtaining a bill HSI image with global characteristics after conversion, and extracting hue H, saturation S and brightness I component characteristic images in the bill HSI image.
4. The method for counterfeit prevention and identification of bills based on global characteristics of bills according to claim 1, wherein the step C specifically comprises:
respectively carrying out correlation evaluation on hue H, saturation S and brightness I component pixel matrixes of the HSI image with global features of the bill and hue, saturation and brightness component pixel matrixes of a standard bill image, taking the correlation evaluation of hue component pixel matrixes of the bill image as an example, H and HsRespectively represent the tone component pixel matrixes of the bill image to be detected and the standard bill image,andrespectively representing the average value of tone component pixel matrixes of the bill image to be checked and the standard bill image, if the total number of the pixel points of the bill image is N, then the correlation coefficient Cof (H, H) of the tone component of the bill image to be checked and the standard bill imageS) Can be calculated as follows:
similarly, the correlation coefficient Cof (S, S) of the saturation and brightness component pixel matrix of the global characteristic image of the bill data and the saturation and brightness component pixel matrix of the standard bill image can be calculatedS)、Cof(I,IS)。
5. The method for counterfeit prevention and identification of bills based on global characteristics of bills according to claim 1, wherein the step D specifically comprises:
weighting and summing the global characteristic correlation coefficients of the bill hue H, the saturation S and the brightness I component pixel matrix to obtain the correlation coefficients of the global characteristics of the detected bill image and the standard bill image:
Cof＝λH·Cof(H,HS)+λS·Cof(S,SS)+λI·Cof(I,IS)
wherein λH、λS、λIRespectively, hue, saturation, brightness component pixel matrix weighting coefficients;
setting global characteristic image correlation coefficient threshold Cof of billthComparison of Cof and CofthAnd judging whether the global features of the detected bill image are matched with the global features of the standard bill image according to the size relationship.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008774A (en) * | 2019-04-08 | 2019-07-12 | 成都印钞有限公司 | A kind of gravure anti-fake label recognition methods |
| CN110458998A (en) * | 2019-07-11 | 2019-11-15 | 深圳怡化电脑股份有限公司 | Bill detection method, bill detection device and terminal |
| CN111027573A (en) * | 2019-12-09 | 2020-04-17 | 广西荔玉高速公路有限公司 | Image authenticity identification method based on blind evidence obtaining technology |
| CN111046899A (en) * | 2019-10-09 | 2020-04-21 | 京东数字科技控股有限公司 | Method, device and equipment for identifying authenticity of identity card and storage medium |
| CN111275879A (en) * | 2020-02-20 | 2020-06-12 | Oppo广东移动通信有限公司 | Currency identification method and device and mobile terminal |
| CN111612967A (en) * | 2020-04-29 | 2020-09-01 | 武汉卓目科技有限公司 | Method and device for CIS image preprocessing of financial machine |
| CN111899411A (en) * | 2020-08-14 | 2020-11-06 | 中国工商银行股份有限公司 | Bill data identification method and device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5818953A (en) * | 1996-04-17 | 1998-10-06 | Lamb-Weston, Inc. | Optical characterization method |
| CN101408942A (en) * | 2008-04-17 | 2009-04-15 | 浙江师范大学 | Method for locating license plate under a complicated background |
| CN101458836A (en) * | 2007-12-14 | 2009-06-17 | 广州广电运通金融电子股份有限公司 | Identifying method and system for papers of value |
| CN102542660A (en) * | 2011-12-05 | 2012-07-04 | 中钞实业有限公司 | Bill anti-counterfeiting identification method based on bill watermark distribution characteristics |
| CN103345624A (en) * | 2013-07-15 | 2013-10-09 | 武汉大学 | Weighing characteristic face recognition method for multichannel pulse coupling neural network |
| CN103440348A (en) * | 2013-09-16 | 2013-12-11 | 重庆邮电大学 | Vector-quantization-based overall and local color image searching method |
| CN105632015A (en) * | 2015-12-24 | 2016-06-01 | 中钞实业有限公司 | Bank bill fingerprint feature anti-counterfeiting identification method based on cloud platform |
-
2017
- 2017-07-13 CN CN201710568803.0A patent/CN107437293A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5818953A (en) * | 1996-04-17 | 1998-10-06 | Lamb-Weston, Inc. | Optical characterization method |
| CN101458836A (en) * | 2007-12-14 | 2009-06-17 | 广州广电运通金融电子股份有限公司 | Identifying method and system for papers of value |
| CN101408942A (en) * | 2008-04-17 | 2009-04-15 | 浙江师范大学 | Method for locating license plate under a complicated background |
| CN102542660A (en) * | 2011-12-05 | 2012-07-04 | 中钞实业有限公司 | Bill anti-counterfeiting identification method based on bill watermark distribution characteristics |
| CN103345624A (en) * | 2013-07-15 | 2013-10-09 | 武汉大学 | Weighing characteristic face recognition method for multichannel pulse coupling neural network |
| CN103440348A (en) * | 2013-09-16 | 2013-12-11 | 重庆邮电大学 | Vector-quantization-based overall and local color image searching method |
| CN105632015A (en) * | 2015-12-24 | 2016-06-01 | 中钞实业有限公司 | Bank bill fingerprint feature anti-counterfeiting identification method based on cloud platform |
Non-Patent Citations (1)
| Title |
|---|
| 徐红霞: ""基于HSI 颜色空间统计直方图的图像检索"", 《多媒体技术及其应用》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008774A (en) * | 2019-04-08 | 2019-07-12 | 成都印钞有限公司 | A kind of gravure anti-fake label recognition methods |
| CN110458998A (en) * | 2019-07-11 | 2019-11-15 | 深圳怡化电脑股份有限公司 | Bill detection method, bill detection device and terminal |
| CN110458998B (en) * | 2019-07-11 | 2021-11-16 | 深圳怡化电脑股份有限公司 | Bill detection method, bill detection device and terminal |
| CN111046899A (en) * | 2019-10-09 | 2020-04-21 | 京东数字科技控股有限公司 | Method, device and equipment for identifying authenticity of identity card and storage medium |
| CN111046899B (en) * | 2019-10-09 | 2023-12-08 | 京东科技控股股份有限公司 | Identification card authenticity identification method, device, equipment and storage medium |
| CN111027573A (en) * | 2019-12-09 | 2020-04-17 | 广西荔玉高速公路有限公司 | Image authenticity identification method based on blind evidence obtaining technology |
| CN111027573B (en) * | 2019-12-09 | 2023-05-12 | 广西荔玉高速公路有限公司 | Image authenticity identification method based on blind evidence obtaining technology |
| CN111275879A (en) * | 2020-02-20 | 2020-06-12 | Oppo广东移动通信有限公司 | Currency identification method and device and mobile terminal |
| CN111612967A (en) * | 2020-04-29 | 2020-09-01 | 武汉卓目科技有限公司 | Method and device for CIS image preprocessing of financial machine |
| CN111612967B (en) * | 2020-04-29 | 2023-03-14 | 武汉卓目科技有限公司 | Method and device for preprocessing CIS image of financial machine |
| CN111899411A (en) * | 2020-08-14 | 2020-11-06 | 中国工商银行股份有限公司 | Bill data identification method and device |
| CN111899411B (en) * | 2020-08-14 | 2022-02-25 | 中国工商银行股份有限公司 | Bill data identification method and device |
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Application publication date: 20171205 |