CN100405405C - Fiber image antifake method - Google Patents
Fiber image antifake method Download PDFInfo
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- CN100405405C CN100405405C CNB2005101211072A CN200510121107A CN100405405C CN 100405405 C CN100405405 C CN 100405405C CN B2005101211072 A CNB2005101211072 A CN B2005101211072A CN 200510121107 A CN200510121107 A CN 200510121107A CN 100405405 C CN100405405 C CN 100405405C
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Abstract
The present invention discloses an anti-counterfeiting method of a fiber image, which comprises the steps: extracting the information of a true fiber image, generating a database of the true fiber image, and comparing a fiber image to be verified and the true fiber image in the database. Thereby, the present invention can determine the truth of the fiber image to be verified. The method of the present invention can fundamentally overcome the insufficiency for identifying the truth of fluorescence fiber paper under an ultraviolet lamp, eliminates the safety trouble in the anti-counterfeiting application of the fluorescence fiber paper, and ensures the valuable securities of the manufacture of the fluorescence fiber paper, and the reliability of tickets, etc.
Description
Technical field
The present invention relates to a kind of anti-counterfeiting technology, particularly relate to a kind of method that detects the fluorescent fiber image's authenticity in the fluorescent fiber paper.
Background technology
Paper is the important substance technical foundation of the fields of circulation such as various currency, securities, bill in the modern society.In order to prevent personation, present stage has been developed various types of cheque papers, and is widely used in as banknote, bill, check, stock, bond, gift token, various bill, card, and field such as passport.
Fluorescent fiber paper is a kind of effective counterfeit prevention paper of developing in recent years, and it is by fluorescent material is being dyed on the man-made fiber carrier, and in paper-making process this fluorescent fiber is added in the paper pulp according to certain ratio and make fluorescent fiber paper.This anti-forge paper surface seems the same with common paper, but if ultraviolet light one photograph in false distinguishing, the fluorescent fiber of adding in the paper just can present the fluorescence of a certain color immediately.
Though fluorescent fiber paper has security feature efficiently, owing to often have huge economic with its securities produced and bill, under the temptation of economic interests, still various imitations can appear.Such as, at fluorescent fiber paper, find to have the fluorescent fiber image that utilizes fluorescent ink (even e-Pointer) imitation fluorescent fiber paper to be shown, print artificially or print Counterfeit Item, promptly alleged " fluorescence clone ".And pass through " fluorescence clone " produced paper, and under uviol lamp, also can present fibre image like the fluorescent fiber stationery, naked eyes can't divide evident.Like this, just bring huge potential safety hazard to securities that utilize fluorescent fiber paper made and bill etc.
Summary of the invention
Purpose of the present invention is exactly in order to overcome the above problems, and a kind of method for anti-counterfeit of verifying the fluorescent fiber image's authenticity in the fluorescent fiber paper is provided.
For achieving the above object, the present invention has adopted following technical scheme:
The invention discloses a kind of fiber image antifake method, described method comprises step: extract the information of true fiber image and generate the true fiber image data base, thereby by the true fiber image in fibre image to be verified and the database being compared the authenticity of determining fibre image to be verified
The described concrete steps that fibre image to be verified and true fiber image are compared comprise:
(1) monochrome information of every fiber in the extraction fibre image;
(2) according to the fiber arranged order of brightness size;
(3) brightness of fibre image to be verified and true fiber image is put in order compare, as difference within the pre-set threshold scope, think that then fibre image to be verified is consistent with the true fiber image, surpass the pre-set threshold scope as difference, think that then fibre image to be verified is what copy.
Described pre-set threshold is meant predetermined acceptable sequence error.
Described fibre image is meant the image that the fluorescent fiber in the fluorescent fiber paper is presented under the fluorescence excitation state.
The concrete steps of extracting every fiber monochrome information in the described step (1) comprise:
A, fibre image is carried out gray processing, and obtain the gray-scale value of each pixel in the image;
B, gray level image is carried out binaryzation obtain bianry image, described binaryzation is meant the gray scale situation according to entire image, preestablishes a binaryzation threshold values, when the gray-scale value of any one pixel in the image during greater than this binaryzation threshold values, this pixel is set to white, otherwise is black;
The pixel of every fiber region shows as the continuous and formation connected domain of white in c, the image, gives each different connected domain a unique label;
D, for every fiber, calculate the mean value of gray scale on the area of its shared connected domain, this mean value is exactly the brightness of this fiber.
Among the described step a, the gray-scale value of each pixel is to calculate according to formula G=0.299*r+0.587*g+0.114*b in the image, and wherein r, g, b are the numerical value of the RGB tlv triple of each pixel.
Because adopted above scheme, the beneficial effect that the present invention is possessed is:
Utilize method of the present invention, can identify the fluorescent fiber image effectively is fibre image on the real fluorescent fiber paper or the fluoroscopic image that is gone out by fluorescent ink " clone ".Because in most fibre image, the gray-scale value of every fiber all is differentiated, the gray scale between each fiber (average gray), according to from small to large or arrangement from big to small have certain stability.And in the fluorescent ink image, clone's fiber gray scale will be subjected to the influence of various factors, can't print out the appointment image gray.Therefore, use method of the present invention, by setting in advance the database of true fiber image, and the true fiber image in fibre image to be verified and the database is compared, thereby can accurately judge the authenticity of fibre image to be verified.
By comparing the fiber brightness order of true picture and image to be verified, be used as further false proof standard, can fundamentally overcome the deficiency of under uviol lamp, with the naked eye differentiating fluorescent fiber paper authenticity, eliminate the security hidden danger of fluorescent fiber paper in Application in Anti-counterfeiting, guaranteed the reliability of securities that fluorescent fiber paper is made and bill etc.Simultaneously, the present invention is by comparing fiber brightness order, rather than the directly brightness of more every fiber of thinking routinely, overcome fluorescent fiber when being excited because the difference of each excitaton source (uviol lamp) intensity causes fiber fluorescent brightness difference, and relatively the time, cause the shortcoming of significant errors, improved the accuracy of checking.In addition, by preestablishing the sequence error that can the receive threshold value as a comparison the time, the fluorescent fiber that has reduced adjacent brightness in the fibre image owing to brightness near the series arrangement error that causes, equally also improved the accuracy of checking.
Description of drawings
Fig. 1 is the original image of the true fluorescent fiber of a width of cloth.
Fig. 2 is the gray level image of Fig. 1 correspondence.
Specifically execute real mode
The inventor is by after carrying out big quantitative analysis to the gray scale of fibre image in the fluorescent fiber paper, sum up the thing of the certain law of fiber intensity profile: in most of fibre images, the gray-scale value of every fiber is differentiated, brightness between each fiber (average gray), by from small to large or arrangement from big to small have certain stability.
And in the fluorescent ink image, the gray scale of the fluorescent fiber of copying out by the fibre image " clone " of imitation fluorescent fiber paper will be subjected to the influence of several factors, and these factors mainly comprise:
1) says from printing angle that in order to realize different gray scales, the fluorescer ratio in the fluorescent ink will change;
2) printing or the printing brightness that how much influences fluorescence of China ink amount at present.
3) " dirty point " may appear in printing ink, promptly outside lines, a lot of fluorescence ink dots occur.
For these reasons, we can say, when utilizing fluorescent ink to copy fluorescent fiber, almost can't print the appointment image gray, for example, requiring current printing gray scale is that 190 (gray scale is from 0-255, and its value is big more, image is bright more) fiber, be printed as gray scale next time and be 198 fiber, this is impossible.
It seems that from existing technology fluorescent ink can not be made the effect of various gray scales or color as common printed printing ink.
On the basis of above-mentioned research, the inventor develops the method for checking fluorescent fiber image's authenticity of the present invention, by putting in order of the fiber brightness between fibre image more to be verified and the true fiber image, thereby identify fibre image to be verified for real or imitation.
The present invention is described in further detail below by specific embodiment.
Fig. 1 and Fig. 2 represent true fluorescent fiber original image of a width of cloth and corresponding gray level image respectively.
Image gray processing with Fig. 1: according to the RGB tlv triple (r of each pixel on this original color image, g, numerical value b), the gray processing method of employing standard, promptly, calculate the gray-scale value G of each pixel on the image by formula G=0.299*r+0.587*g+0.114*b.Wherein r, g, b and G are the nonzero integer in 255 scopes.
Image binaryzation behind the gray processing is obtained bianry image: the method for binaryzation is, gray scale situation according to image, set a binaryzation threshold values, for each pixel in the image, when gray-scale value during, this pixel is made as white (representing with 1), otherwise is made as black (representing) with 0 greater than the binaryzation threshold values, like this, just obtained binary image.
With image from top to bottom, from left to right scan each pixel, the pixel of every fiber region shows as the continuous and formation connected domain of white in the image, give each different connected domain a unique label, this label is the sequence number of this fiber, has also obtained the bar number of fiber simultaneously by this process.
For every fiber, calculate the mean value of gray scale on the area of its shared connected domain, this mean value is exactly the brightness of this fiber.
In the image of Fig. 1 and Fig. 2, have 8 fibers, they present the difference of brightness, and the brightness value that obtains each fiber sequence number and correspondence according to above-mentioned method is as shown in the table respectively:
| Sequence number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Brightness | 157.7788 | 190.1167 | 193.9091 | 197.6262 | 224.4172 | 183.1866 | 171.3969 | 204.2317 |
From small to large fiber is sorted according to brightness, these fiber sequence numbers are arranged as follows:
T：1-7-6-2-3-4-8-5
Above-mentioned Fig. 2 and converted top number wherein, each fiber corresponding sequence number and brightness value, arrangement T etc. all are stored in the true fiber image data base.
In addition, two parts of fibre image A and B to be verified being arranged, all is to have 8 fibers, and 8 fibers on image arrange with above-mentioned Fig. 1 in fiber architecture basic identical.Specify the sequence number of every fiber in these two parts of fibre images to be verified and the brightness of calculating fiber according to top method.During appointed sequence number, the sequence number of the essentially identical fiber appointment in position of arranging on image is identical.8 fibers among A and the B are arranged from small to large according to brightness, are obtained fibre array order separately respectively:
A：1-6-7-2-3-4-8-5
B：1-2-6-7-3-4-8-5
Carrying out fibre array in proper order relatively the time, as two adjacent sequence number reversing of position, then defining difference is 1; As two sequence number reversing of position of the position that is separated by, then defining difference is 2; As two sequence number reversing of position of two positions that are separated by, then defining difference is 3.Draw analogous conclusions, the various difference when order compares all can be represented by a numerical value.
Before, through to a large amount of tests of Fig. 1 true fiber image and the method by pattern-recognition, be 1 if obtained acceptable recognition sequence error in this embodiment.Therefore when fibre image to be verified and true fiber image are compared, preestablishing other threshold value of sequence difference is 1, when difference is less than or equal to this threshold value, think that fibre image to be verified is consistent with the true fiber image, as difference during, think that then fibre image to be verified is for copying (" clone ") greater than this threshold value.
Thus, when the fibre array order T of the fibre array of A and B order and Fig. 1 true fiber image is compared, the difference that obtains A and T is 1 ( adjacent fiber 6,7 has been changed the position), the difference of B and T is 2 ( fiber 7,2 of being separated by has been changed the position), thereby think that A is consistent with the true fiber image of Fig. 1, identification is passed through, and B is clone's fibre image, can not be by identification.
In addition, in order to improve the accuracy of identification, can also be further with the difference of the brightness of adjacent fiber Consideration as the computation sequence error.For example, the difference of A and T is that adjacent fiber 6,7 changed the position, and in T, the difference of 6 and 7 brightness is 183.1866-171.3969=11.7897, and this difference is little, and 6 and 7 position transposing might be that the error during owing to measurement causes.And the difference of B and T is that 7,2 have changed the position, and in T, the difference of 2 and 7 brightness is 190.1167-171.3969=18.7198, and this difference is bigger, because error causes the possibility of 7,2 positions transposing little.In the specific implementation, can come the computation sequence error with the difference of this gray-scale value as weighted value, and then utilize the sequence error and the acceptable recognition sequence error that calculate to compare, thus the judgement true and false.
Claims (5)
1. fiber image antifake method, it is characterized in that, described method comprises step: extract the information of true fiber image and generate the true fiber image data base, thereby by the true fiber image in fibre image to be verified and the database being compared the authenticity of determining fibre image to be verified
The described concrete steps that fibre image to be verified and true fiber image are compared comprise:
(1) monochrome information of every fiber in the extraction fibre image;
(2) according to the fiber arranged order of brightness size;
(3) brightness of fibre image to be verified and true fiber image is put in order compare, as difference within the pre-set threshold scope, think that then fibre image to be verified is consistent with the true fiber image, surpass the pre-set threshold scope as difference, think that then fibre image to be verified is what copy.
2. a kind of fiber image antifake method according to claim 1 is characterized in that: described fibre image is meant the image that the fluorescent fiber in the fluorescent fiber paper is presented under the fluorescence excitation state.
3. a kind of fiber image antifake method according to claim 1 is characterized in that: described pre-set threshold is meant predetermined acceptable sequence error.
4. a kind of fiber image antifake method according to claim 1 is characterized in that: the concrete steps of extracting every fiber monochrome information in the described step (1) comprise:
A, fibre image is carried out gray processing, and obtain the gray-scale value of each pixel in the image;
B, gray level image is carried out binaryzation obtain bianry image, described binaryzation is meant the gray scale situation according to entire image, preestablishes a binaryzation threshold values, when the gray-scale value of any one pixel in the image during greater than this binaryzation threshold values, this pixel is set to white, otherwise is black;
The pixel of every fiber region shows as the continuous and formation connected domain of white in c, the image, gives each different connected domain a unique label;
D, for every fiber, calculate the mean value of gray scale on the area of its shared connected domain, this mean value is exactly the brightness of this fiber.
5. a kind of fiber image antifake method according to claim 4, it is characterized in that: among the described step a, the gray-scale value of each pixel is to calculate according to formula G=0.299*r+0.587*g+0.114*b in the image, and wherein r, g, b are the numerical value of the RGB tlv triple of each pixel.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102324132B (en) * | 2011-05-25 | 2014-04-09 | 深圳怡化电脑股份有限公司 | Bank-note detecting method by identifying ultraviolet-light image and system |
| CN106447908B (en) * | 2016-09-20 | 2020-06-09 | 深圳怡化电脑股份有限公司 | Paper money counterfeit distinguishing method and device |
| CN106780966B (en) * | 2017-02-17 | 2019-10-11 | 深圳怡化电脑股份有限公司 | A kind of paper money discrimination method and device |
| CN107204068B (en) * | 2017-05-27 | 2019-08-27 | 深圳怡化电脑股份有限公司 | A kind of paper money management system, method and Paper Currency Identification |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1298800A (en) * | 2000-12-29 | 2001-06-13 | 北京清华试金石新技术有限公司 | Antiforge method using microscopic state of object itself |
| CN1350260A (en) * | 2000-10-21 | 2002-05-22 | 孙显林 | Random grains anti-fake method |
| CN1384467A (en) * | 2002-06-07 | 2002-12-11 | 清华大学 | Micro image characteristic extracting and recognizing method |
| CN1430175A (en) * | 2001-12-30 | 2003-07-16 | 北京兆日科技有限责任公司 | Encryption antiforgery method based on substance characteristics |
| CN1564148A (en) * | 2004-04-09 | 2005-01-12 | 寇建国 | Micro-image anti-fraud method for objects surface |
| CN1588435A (en) * | 2004-09-22 | 2005-03-02 | 珠海金联安警用技术研究发展中心有限公司 | Anti-fake bill processing system |
| US20050047593A1 (en) * | 2001-12-19 | 2005-03-03 | Norbert Hampp | Method for guaranteeing the authenticity of documents |
-
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- 2005-12-29 CN CNB2005101211072A patent/CN100405405C/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1350260A (en) * | 2000-10-21 | 2002-05-22 | 孙显林 | Random grains anti-fake method |
| CN1298800A (en) * | 2000-12-29 | 2001-06-13 | 北京清华试金石新技术有限公司 | Antiforge method using microscopic state of object itself |
| US20050047593A1 (en) * | 2001-12-19 | 2005-03-03 | Norbert Hampp | Method for guaranteeing the authenticity of documents |
| CN1430175A (en) * | 2001-12-30 | 2003-07-16 | 北京兆日科技有限责任公司 | Encryption antiforgery method based on substance characteristics |
| CN1384467A (en) * | 2002-06-07 | 2002-12-11 | 清华大学 | Micro image characteristic extracting and recognizing method |
| CN1564148A (en) * | 2004-04-09 | 2005-01-12 | 寇建国 | Micro-image anti-fraud method for objects surface |
| CN1588435A (en) * | 2004-09-22 | 2005-03-02 | 珠海金联安警用技术研究发展中心有限公司 | Anti-fake bill processing system |
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