CN103426014A - Anti-counterfeiting method of print pictures based on CCD detection - Google Patents
Anti-counterfeiting method of print pictures based on CCD detection Download PDFInfo
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Abstract
The invention discloses an anti-counterfeiting method of print pictures based on CCD detection and belongs to the field of presswork forgery prevention. The method includes: establishing an anti-counterfeiting information database, embedding anti-counterfeiting information, and detecting the anti-counterfeiting information. Recording in the anti-counterfeiting information database can be established according the need of a unit. The anti-counterfeiting information is embedded by embedding mesh points different in area rate into a half-tone picture, and the mesh points different in area rate are used to express character information. A detection method of the anti-counterfeiting information includes: using CCD equipment to acquire a print picture with embedded anti-counterfeiting information and a print picture with no embedded anti-counterfeiting information, extracting the embedded anti-counterfeiting information by a feature extraction method, determining a printed matter is true if the data matching with that in the database, and determining the printed matter is counterfeited if the data matching with that in the database is not obtained. The method has the advantages that forgery prevention for printed matters such as package and certificates in practical production can be achieved and copying difficulty is increased greatly.
Description
Technical field
The present invention relates to a kind of based on the English full name of CCD(: Charge-coupled Device, Chinese full name: the method for printed matter image false-proof charge coupled cell) detected, for the antiforge field.
Background technology
No matter be traditional printing or digital printed, in the printed matter field of circulation, people face an important problem, the authenticity of printed matter, and this problem is embodied in all many-sides, such as: the true and false of package printed matter, the true and false of certificate certificate etc.Instantly, forgery and illegal imitation of brand-name products article wildness, this has seriously hindered social harmonious development, and consumer's right-safeguarding is met difficulty.Therefore, each large packages printing company and the certificate certificate verification company that accepts realizes that printed matter is added to antiforge function seems especially important, and the interests that this not only can service companies itself, also can provide safeguard for the consumer.Current, the realization of printed matter anti-counterfeiting function mainly has anti-fraud functional paper by use, printing ink or paste the mode such as radium-shine mark, these modes have all increased printing cost to a certain extent, though the piracy personation is had to certain containment effect invasion phenomenon, still exist.Therefore, develop a kind of cost that can not increase and prevent the method for anti-counterfeit of palming off simultaneously, not only can take precautions against the circulation of counterfeit and shoddy goods on market, also can reduce printing cost, improve the profit margin of enterprise.Therefore, the research for printed matter anti-counterfeiting becomes focus.
For now, domestic research work aspect printed matter anti-counterfeiting more also relatively lags behind, and in China, and the false proof means that dropped into utilization are also mainly on the antiforge function based on printing material, and the data that can consult is less.Digital watermark technology becomes the focus of domestic research in recent years, but the domestic research more existing technology that are mainly learning overseas, and solution is extracted in the embedding that substantially rests on the anti-counterfeiting information under simulated environment.External research is relatively ripe, and they mainly adopt the method for error diffusion and randomized jitter to realize the embedding hidden Info, and the not sentience of the information of embedding, and robustness and security are higher.In general, in the scheme that the domestic and international information for shadow tone embeds and extracts, mainly realized that the information under simulated environment embeds and extracts for digital picture, there is no really not realize the detection of the true printed matter based on different scanning equipment.
Summary of the invention
Purpose of the present invention is exactly for the deficiencies in the prior art, and a kind of method of the printed matter image false-proof detected based on CCD is provided.The method is simple to operate, embeds anti-counterfeiting information speed fast, easy to detect, does not increase extra printing cost, applied widely.
To achieve these goals, technical scheme of the present invention is as follows:
1. the method for the printed matter image false-proof detected based on CCD is characterized in that following aspect:
(1) set up the database of an anti-counterfeiting information, described database comprises two fields, is respectively character information and binary-coding,
(2) the anti-counterfeit printing image is processed: to anti-counterfeit printed digital picture color separation processing to be printed, obtain half tone image, embed the site of different area rate in order to mean the corresponding binary-coding of character information in the half tone image of this printed matter, then printing obtains anti-counterfeit printed, wherein character information and its corresponding binary-coding obtain by the record in the Query Database table
(3) printed matter that obtains with CCD the printed matter that embeds anti-counterfeiting information and do not embed anti-counterfeiting information obtains two width images, two width image respective pixel positions are subtracted each other, obtain error image, the number that in judgement error image each grid, pixel is black pixel and the magnitude relationship between setting threshold, thereby judge binary-coding, and compare with database, if can access with database in the data that are complementary, illustrate that so this printed matter is true, otherwise be false.
Wherein in step (1), database comprises two fields, character information and binary-coding, such as: on the degree's diploma of so-and-so university, use this method to realize false proof, the Chinese character that character information in database just comprises in the student name of school so and arabic numeral and 26 English characters form, 16 binary-codings that each character is corresponding different.And, there is the user of authority to be added the record in database according to demand, delete, revise, upgrade.Here, 16 binary-codings can express 2
16=65536 different character informations.
Wherein in step (2), in half tone image after color separation, embed the site of different area rate, the concrete size of site can be adjusted to some extent according to customer demand and different images, but will take, guarantees to be encoded to 0 with to be encoded to 1 o'clock dot area percentage different and can distinguish while detecting based on CCD and come as prerequisite.
Wherein in step (3), the foundation of judgement binary-coding scans for embedding the printed matter hidden Info and embedding the printed matter hidden Info the two width image subtractions that obtain through CCD, obtain error image, the number that in cumulative summation error image grid, pixel is black pixel, and judge this value and 2 threshold values setting between magnitude relationship, if be greater than the larger threshold value of setting, think that it has embedded the larger site of area occupation ratio, be encoded to 0, the larger threshold value that is greater than the less threshold value of setting and is less than setting thinks that it has embedded the less site of area occupation ratio, be encoded to 1, judge successively 16 codings, and by comparing with database, if can access with database in the data that are complementary, illustrate that so this printed matter is true, otherwise be false.
Beneficial effect:
The invention provides a kind of method of the printed matter image false-proof detected based on CCD.Compare with existing false proof means, realized the detection for the anti-counterfeiting information of true printed matter, make the anti-counterfeiting detection technology no longer stick to the detection under virtual environment.Simultaneously, this method for anti-counterfeit can not increase printing cost, with binary-coding, replaces character information, and expresses binary-coding with the site of different sizes, decodes difficulty and improves, and has improved the difficulty copied simultaneously, plays the anti-effect copied.
In addition, the method for the printed matter image false-proof detected based on CCD both can realize whether the on-line monitoring printed matter embeds and hide Info, and also can realize off-line monitoring, had played the copyright protection effect to printed matter.
The accompanying drawing explanation
The process flow diagram of the method that Fig. 1 is a kind of printed matter image false-proof detected based on CCD of the present invention;
The database instance used in the method that Fig. 2 is a kind of printed matter image false-proof detected based on CCD of the present invention;
The C version half tone image generated after the digital picture color separation of using in the method that Fig. 3 is a kind of printed matter image false-proof detected based on CCD of the present invention;
The M version half tone image generated after the digital picture color separation of using in the method that Fig. 4 is a kind of printed matter image false-proof detected based on CCD of the present invention;
The Y version half tone image generated after the digital picture color separation of using in the method that Fig. 5 is a kind of printed matter image false-proof detected based on CCD of the present invention;
The K version half tone image generated after the digital picture color separation of using in the method that Fig. 6 is a kind of printed matter image false-proof detected based on CCD of the present invention;
Fig. 7 embeds the Y domain picture (a) hide Info and the Y domain picture (b) embedded after the hiding Info of 16 binary-coding representatives after color separation;
Fig. 8 obtains for simulation CCD scanning the error image that printed matter image characteristics extraction that printed matter image that embeddings do not hide Info and embedding hide Info obtains.
Specific implementation method
The present invention is a kind of method of the printed matter image false-proof detected based on CCD, and concrete implementation step is as follows:
Mainly be divided into the two large divisions: the foundation of anti-counterfeiting information database, the embedding of anti-counterfeiting information, the extraction of anti-counterfeiting information.
1. the foundation of anti-counterfeiting information database
For different users, company, school, set up the anti-counterfeiting information database that is applicable to our unit, comprises two fields, character information and binary-codings in database table.Wherein, character information should comprise arabic numeral, English alphabet and the Chinese character information that meets our unit's demand; Corresponding corresponding 16 the unique binary-codings of all character informations.
Such as: the school name that comprises school in the database of so-and-so university, institute's title of each institute, all students and teaching and administrative staff's name information and arabic numeral, English alphabet.16 binary-codings that each character information is corresponding unique.
2. embed anti-counterfeiting information in half tone image
In 4 width half tone images after color separation, select wherein certain width half tone image, embed the corresponding binary-coding of character information (Fig. 2) that the site by the different area rate means.
Such as: the Y version half tone image after the selection color separation, the character information that wish embeds be " my god ", and " my god " the corresponding binary-coding of word is to call from the table of database, and binary-coding is 16, embed the different sites of 16 sizes express " my god " binary-coding of word, suppose: be encoded to 0 expression and embed the larger site of area occupation ratio, be encoded to 1 expression and embed the less site of area occupation ratio.Wherein, the prerequisite that the dot area size of embedding is followed is that it(?) at least can detection zone separate to be encoded to 0, is encoded to 1 and the image noise.On such basis, the dot area of embedding is the smaller the better, and is encoded to 0 and be encoded to 1 dot area and differ the smaller the better.
3. based on CCD Detection and Extraction anti-counterfeiting information
Obtain and embed the printed matter hidden Info and the scan image that does not embed the printed matter hidden Info with CCD equipment, two width image subtractions are obtained to error image, (one of them threshold value is to be the value between the number that changes pixel at 0 o'clock and the number that is encoded to 1 o'clock change pixel between presentation code for the number that pixel in judgement error image each grid is black point and the threshold value of 2 settings, another is that to be less than presentation code be the value that changes the number of site pixel at 1 o'clock) between magnitude relationship, judge successively binary-coding and compare with the record in the table of database, if can access with database in the data that are complementary, and meet our unit and embed the principle basis hidden Info, illustrate that so this printed matter is true, otherwise be false.
Such as: embed the printed matter hidden Info and the printed matter that embedding hides Info after CCD scanning, obtain two width images, subtract each other two width image respective pixel positions, obtain error image, the number of obtaining pixel in each grid of error image and be black pixel is made as variable n, the relation of judgement n and threshold value, if n is greater than the less threshold value of setting, illustrate that in error image, this net region is not noise, really embedded and hidden Info, carry out again deep judgement, if n is greater than larger threshold value, binary-coding is 0, if n is less than larger threshold value, and be greater than less threshold value binary-coding be 1, judge successively 16 binary-codings, and compare with the record in database table, if can access with database in the data that are complementary, illustrate that so this printed matter is true, otherwise be false.
Below in conjunction with accompanying drawing and real case, technical scheme of the present invention is further described.
The flow process of the method for a kind of printed matter image false-proof detected based on CCD of the present invention as shown in Figure 1.
The anti-counterfeiting information database that present case uses as shown in Figure 2.Wherein character information is " packaging & printing engineering institute of University Of Science and Technology Of Tianjin " and binary-coding corresponding to each character information.
At first the digital picture of carrying out false proof processing is carried out to color separation processing, present case is 2400dpi according to output resolution ratio, screen frequency is 150lpi, and the screen angle that the screening quality factor is 2, C version is 15 °, the screen angle of M version is 75 °, the screen angle of Y version is 0 °, and the screen angle of K version is 45 ° and obtains respectively C(Fig. 3), M(Fig. 4), Y(Fig. 5), K(Fig. 6) four width half tone images.
Secondly, in present case, in Y version half tone image, the position at selected certain grid place is for inserting starting point, and because the screen angle of Y version is 90 °, therefore, each grid records grid by 2400/150/2*2400/150/2=8*8=64 and forms.From selected initial grid, insertion is converted to by 16 binary-codings the character information that site means, " my god " in database, the binary-coding of correspondence is " 0111010101110101 ", be encoded to the site that 0 embedding dot area percentage is 20%, be encoded to the site that 1 embedding area occupation ratio is 10%.Because half-tone picture similarly is bianry image, that is to say, in computing machine, each pixel is non-black white, if dot area percentage is 100%, the pixel value of 64 pixels is all 0, be that whole grid is for black, if dot area percentage is 20%, it is black that 13 pixels of 64*20% ≈ are arranged in corresponding grid, if the site that binary-coding is 0 insertion 20% area occupation ratio, the pixel value that will change 13 pixels in embedded location place grid becomes black, when just requiring us to select embedded location, this need to consider to be embedded in the position of middle high light, if the site that binary-coding is 1 insertion 10% area occupation ratio, to change the pixel value of 6 pixels of 10%*64 ≈ in embedded location place grid, Fig. 7 (a) does not embed the half-tone picture hidden Info, (b) be the half-tone picture embedded after hiding Info.
Again, embedding is hidden Info and printed with the half tone image that embedding does not hide Info, printed matter obtains two width images by the CCD device scan, two width image subtractions obtain the analog image (Fig. 9) of error image, obtaining pixel in each grid of error image is black number of pixels, the number and the threshold value that obtain compare, and the binary-coding that judgement embeds is 0 to be still 1.In present case, embed and hide Info in the Y version, be encoded to 0 embedding 20% site, be encoded to 1 embedding 10% site, after scanning, pixel in each grid of calculated difference image is black number of pixels, suppose: in one of them net region, pixel is that black number of pixels is 6, in another net region, pixel is that black number of pixels is 13, and 0 the level threshold value of being encoded to of setting is 3, being encoded to 1 level threshold value is 10, that is: 6 be greater than judgement and be encoded to 1 threshold value 3 and meanwhile be less than judgement and be encoded to 0 threshold value 10, therefore, what judge this grid position embedding is encoded to 1, in like manner, 13 are greater than judgement is encoded to 0 threshold value 13, therefore, what judge this grid position embedding is encoded to 0.Judge one by one successively the coding of grid positions different in error image, thereby obtain the binary-coding of 16.Here, the dot gain that occurs in the traditional printing mode and the factors such as precision of printing down are considered in the setting of threshold criteria.
Finally, the binary-coding that obtains and the record in database table are compared, if can access with database in the data that are complementary, and conform to printed matter information, illustrate that so this printed matter is true, otherwise be false.Such as: the Zhang San's of University Of Science and Technology Of Tianjin degree's diploma, first 16 binary-codings that extraction obtains for " 0111010101110101 " with database table in record compare, obtain " my god " word, the character information embedded be " my god ", and the character information obtained successively is " Zhang San of University Of Science and Technology Of Tianjin; student number is 123456 ", illustrates that this certificate is true.Again such as: the binary-coding obtained is " 0000000011111111 ", with data-base recording, compares, and there is no corresponding character information, therefore, proves that this printed matter is false.
In sum, be a kind of method that realizes printed matter image false-proof detected based on CCD.
Claims (5)
1. one kind based on the CCD(charge coupled cell) method of the printed matter image false-proof that detects, it is characterized in that step is as follows:
(1) set up the database of an anti-counterfeiting information, described database comprises two fields, is respectively character information and binary-coding,
(2) the anti-counterfeit printing image is processed: to anti-counterfeit printed digital picture color separation processing to be printed, obtain half tone image, embed the site of different area rate in order to mean the corresponding binary-coding of character information in the half tone image of this printed matter, then printing obtains anti-counterfeit printed, wherein character information and its corresponding binary-coding obtain by the record in the Query Database table
(3) printed matter that obtains with CCD the printed matter that embeds anti-counterfeiting information and do not embed anti-counterfeiting information obtains two width images, two width image respective pixel positions are subtracted each other, obtain error image, the number that in judgement error image each grid, pixel is black pixel and the magnitude relationship between setting threshold, thereby judge binary-coding, and compare with database, if can access with database in the data that are complementary, illustrate that so this printed matter is true, otherwise be false.
2. method according to claim 1, is characterized in that, in step (1), database comprises two fields, character information and binary-coding, and, there is the user of authority to be added the record in database according to demand, delete, revise, upgrade.
3. method according to claim 1, it is characterized in that in step (1), database comprises two fields, the Chinese character that character information in database comprises in the student name of school and arabic numeral and 26 English characters form, 16 binary-codings that each character is corresponding different, wherein 16 binary-codings can express 2
16=65536 different character informations.
4. method according to claim 1, it is characterized in that in step (2), in half tone image after color separation, embed the site of different area rate, the concrete size of site can be adjusted to some extent according to customer demand and different images, but will take, guarantees to be encoded to 0 with to be encoded to 1 o'clock dot area percentage different and can distinguish while detecting based on CCD and come as prerequisite.
5. method according to claim 1, it is characterized in that in step (3), the foundation of judgement binary-coding scans for embedding the printed matter hidden Info and embedding the printed matter hidden Info the two width image subtractions that obtain through CCD, obtain error image, the number that in cumulative summation error image grid, pixel is black pixel, and judge this value and 2 threshold values setting between magnitude relationship, if be greater than the larger threshold value of setting, think that it has embedded the larger site of area occupation ratio, be encoded to 0, the larger threshold value that is greater than the less threshold value of setting and is less than setting thinks that it has embedded the less site of area occupation ratio, be encoded to 1, judge successively 16 codings, and by comparing with database, if can access with database in the data that are complementary, illustrate that so this printed matter is true, otherwise be false.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103702021A (en) * | 2013-12-29 | 2014-04-02 | 广州视声电子科技有限公司 | Currency detection camera |
| CN103770489A (en) * | 2014-02-27 | 2014-05-07 | 深圳市法兰文化产业有限公司 | Printing method of color image for anti-counterfeiting |
| CN103839260A (en) * | 2014-02-17 | 2014-06-04 | 陕西科技大学 | Method for matching simulation grating based on hidden image lattice point area ratio |
| CN106218254A (en) * | 2016-07-26 | 2016-12-14 | 天津市汇源印刷有限公司 | A kind of method that leaflet glazing is false proof |
| CN106503497A (en) * | 2016-10-21 | 2017-03-15 | 国网黑龙江省电力有限公司信息通信公司 | Divulgence prevention method and anti-module of divulging a secret based on noise |
| CN108615218A (en) * | 2018-05-02 | 2018-10-02 | 北京印刷学院 | The printing quantum dot method of detecting watermarks of pseudo-random information spatial domain modulation |
| CN110533704A (en) * | 2019-07-22 | 2019-12-03 | 杭州沃朴物联科技有限公司 | Fake method, device, equipment and medium are tested in the identification of ink label |
| CN111314608A (en) * | 2020-02-24 | 2020-06-19 | 珠海市它物云科技有限公司 | Image focusing prompting method, computer device and computer readable storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184428A (en) * | 2011-04-14 | 2011-09-14 | 北京印刷学院 | Encrypting anti-counterfeiting printing technology for modulating shapes of amplitude modulation dots of printed work through binary-system encrypting signal |
-
2013
- 2013-07-12 CN CN2013102936312A patent/CN103426014A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184428A (en) * | 2011-04-14 | 2011-09-14 | 北京印刷学院 | Encrypting anti-counterfeiting printing technology for modulating shapes of amplitude modulation dots of printed work through binary-system encrypting signal |
Non-Patent Citations (1)
| Title |
|---|
| 唐万有等: "基于CCD检测的半色调防伪技术的研究", 《包装工程》 * |
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| CN103702021A (en) * | 2013-12-29 | 2014-04-02 | 广州视声电子科技有限公司 | Currency detection camera |
| CN103839260A (en) * | 2014-02-17 | 2014-06-04 | 陕西科技大学 | Method for matching simulation grating based on hidden image lattice point area ratio |
| CN103839260B (en) * | 2014-02-17 | 2017-04-19 | 陕西科技大学 | Method for matching simulation grating based on hidden image lattice point area ratio |
| CN103770489A (en) * | 2014-02-27 | 2014-05-07 | 深圳市法兰文化产业有限公司 | Printing method of color image for anti-counterfeiting |
| CN106218254A (en) * | 2016-07-26 | 2016-12-14 | 天津市汇源印刷有限公司 | A kind of method that leaflet glazing is false proof |
| CN106218254B (en) * | 2016-07-26 | 2018-10-19 | 汇源印刷包装科技（天津）股份有限公司 | A kind of method that printed matter glazing is anti-fake |
| CN106503497A (en) * | 2016-10-21 | 2017-03-15 | 国网黑龙江省电力有限公司信息通信公司 | Divulgence prevention method and anti-module of divulging a secret based on noise |
| CN106503497B (en) * | 2016-10-21 | 2019-06-21 | 国网黑龙江省电力有限公司信息通信公司 | Divulgence prevention method and anti-module of divulging a secret based on noise |
| CN108615218A (en) * | 2018-05-02 | 2018-10-02 | 北京印刷学院 | The printing quantum dot method of detecting watermarks of pseudo-random information spatial domain modulation |
| CN108615218B (en) * | 2018-05-02 | 2022-02-15 | 北京印刷学院 | Printed quantum dot watermark detection method based on pseudo-random information spatial modulation |
| CN110533704A (en) * | 2019-07-22 | 2019-12-03 | 杭州沃朴物联科技有限公司 | Fake method, device, equipment and medium are tested in the identification of ink label |
| CN111314608A (en) * | 2020-02-24 | 2020-06-19 | 珠海市它物云科技有限公司 | Image focusing prompting method, computer device and computer readable storage medium |
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