CN108647980A - A kind of Antiforge recognizing method of fine diffusion trace - Google Patents
A kind of Antiforge recognizing method of fine diffusion trace Download PDFInfo
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- CN108647980A CN108647980A CN201810456849.8A CN201810456849A CN108647980A CN 108647980 A CN108647980 A CN 108647980A CN 201810456849 A CN201810456849 A CN 201810456849A CN 108647980 A CN108647980 A CN 108647980A
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- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
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Abstract
The invention discloses a kind of Antiforge recognizing methods of fine diffusion trace, include the following steps：S1 the Printing Zone of code identification or graph-text identification) is selected on the substrate；S2 code identification or graph-text identification with STOCHASTIC DIFFUSION trace) are formed in the Printing Zone；S3 it) obtains the item number of STOCHASTIC DIFFUSION trace and location information and anti-counterfeiting characteristic code is generated in advance；S4 the item number and location information of STOCHASTIC DIFFUSION trace on stock) are identified, and is compared and distinguishes the true from the false with the anti-counterfeiting characteristic code being generated in advance.The present invention generates anti-counterfeiting characteristic code by the item number and location information for obtaining the STOCHASTIC DIFFUSION trace of code identification or graph-text identification, it effectively prevent the anti-fake data after being stolen for faking, and it is not required to transmission picture, greatly improve transmission efficiency, data traffic is saved, and can conveniently realize and discern the false from the genuine offline.
Description
Technical field
The present invention relates to a kind of method for anti-counterfeit more particularly to a kind of Antiforge recognizing methods of fine diffusion trace.
Background technology
Anti-counterfeiting technology is a kind of true and false for identification and prevents from forging, alter, and clones the technological means of behavior.It is existing anti-
There are many pseudo- technology type, such as embossment version line anti-counterfeiting technology, micro anti-counterfeiting technology, paper false proof, water marked paper, anti-fake additive,
Laser anti-counterfeiting, bar code anti-counterfeiting technology and code anti-fake mark and phone identifying system.But generally existing use cost is high,
And exists and be easy to forge the risk replicated.
Bar code is used only to carrying product information.Only a bar code cannot effectively tell truth from falsehood, can only
It says to being tracked into shipping management, product, anti-channel conflict management.It is typically all the private mark side by security code to be blanked to make security code
Method is printed on antifalsification label.
In addition, now widely used Quick Response Code itself can not be anti-fake, need that there are one cell phone application application end and enterprises
Commodity information database could realize anti-fake effect.Principle be by give each commodity distribute a unique Quick Response Code, and
Ensure that Quick Response Code can not be replicated with not reproducible material printing technology, consumer passes through download when buying commodity
Cell phone application inquires Quick Response Code, and the information such as verification merchandise news, manufacturing enterprise can tell truth from falsehood.
The diffusion trace of printed codes or printing figure message is micro- curve of a rule random bend, with randomness, uniquely
Property, non-reproduction.Therefore the convex diffusion line (being commonly called as burr) or dented in the ink such as coding/picture and text edge is utilized
Diffusion line (being commonly called as gap) carry out anti-counterfeit recognition, such as the diffusion trace 1 in Fig. 1, have simple for process, anti-fake data are difficult to make
False advantage.
But the STOCHASTIC DIFFUSION trace that printing is formed, when reality carries out Application in Anti-counterfeiting, there are still following disadvantages：1, diffusion print
Mark feature may be not clear enough, lacking individuality；2, coding/picture and text diffusion line itself easy tos produce deformation, fades, finally significantly
Increase identification difficulty；3, complex to spreading the judgement processing of trace similitude, it is difficult to which that guarantee reaches higher identification；
4, the processing of network online recognition, the input cost of the server end greatly increased and the workload of daily maintenance are depended critically upon.
Invention content
Technical problem to be solved by the invention is to provide a kind of Antiforge recognizing methods of fine diffusion trace, can be effective
It prevents the anti-fake data after being stolen for faking, and is not required to transmission picture, greatly improve transmission efficiency, save data traffic, and
It can conveniently realize and discern the false from the genuine offline.
The present invention to solve above-mentioned technical problem and the technical solution adopted is that provide it is a kind of it is fine diffusion trace it is anti-fake
Recognition methods includes the following steps：S1 the Printing Zone of code identification or graph-text identification) is selected on the substrate；S2) in the print
It brushes area and forms code identification or graph-text identification with STOCHASTIC DIFFUSION trace；S3 item number and the position of STOCHASTIC DIFFUSION trace) are obtained
Simultaneously anti-counterfeiting characteristic code is generated in advance in information；S4) identify stock on STOCHASTIC DIFFUSION trace item number and location information, and with it is advance
The anti-counterfeiting characteristic code of generation, which is compared, to distinguish the true from the false.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S3) in the anti-counterfeiting characteristic that is generated in advance
Code stores on the server, the step S4) the item number of STOCHASTIC DIFFUSION trace and position on stock are identified by client software
Confidence ceases, and is uploaded to server and is compared with the anti-counterfeiting characteristic code being generated in advance on server and distinguishes the true from the false；Or directly
It is compared and distinguishes the true from the false in the anti-counterfeiting characteristic code that client reception is issued from server.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S3) in the anti-counterfeiting characteristic that is generated in advance
Code directly prints on the substrate, the step S4) pass through the item number of STOCHASTIC DIFFUSION trace on client software identification stock
And location information, and be compared and distinguish the true from the false with the anti-counterfeiting characteristic code of printing on the substrate.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S2) it is printed in advance in the Printing Zone
Then brush diffusant coating forms code identification or figure with STOCHASTIC DIFFUSION trace on diffusant coating using ink jet printing
Text mark.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S2) in when code identification or picture and text mark
The diffusion trace high diffusion of knowledge reaches 0.015mm≤h<When 0.03mm, pass through the code identification or picture and text mark into Printing Zone
Know sprinkling covering and pre-setting is carried out to the diffusion trace on code identification or graph-text identification；When code identification or graph-text identification
Diffusion trace high diffusion is when reaching 0.03mm≤h≤0.3mm, is sprayed by code identification into Printing Zone or graph-text identification
Hydroscopic fast-drying agent makes the diffusion trace on code identification or graph-text identification shape.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S2) in quick dry agent be stearic acid it is sweet
Grease or olein, the covering are alkyd resin, phenolic resin or acrylic resin, the sprinkling matter of the quick dry agent
Amount is 3~5 times of diffusant coating quality.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S2) further include being applied in the Printing Zone
The diffusion trace on metal protective film and fixer film regular coding mark or graph-text identification is covered, and is made using metal protective film
The light of duplicator disperses or deflection.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S3) at least choose a STOCHASTIC DIFFUSION
The ending coordinates of trace are put into as location information in anti-counterfeiting characteristic code, while being amplified bat to the STOCHASTIC DIFFUSION trace of selection
According to, and local diffusion trace feature photo is stored as anti-counterfeiting characteristic record information；The step S4) further include being clapped using mobile phone
The code identification or graph-text identification on stock are taken the photograph, the material object scene for obtaining the STOCHASTIC DIFFUSION trace specified in location information is shone
Piece, and done with pre-stored local diffusion trace feature photo and further compare verification.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S3) obtain institute in a certain regional area
There are the item number and its ending coordinates of STOCHASTIC DIFFUSION trace, and according to the size of local selection area, the position of local selection area
Information, the part selection area all STOCHASTIC DIFFUSION traces item number and each STOCHASTIC DIFFUSION trace location information generate
Anti-counterfeiting characteristic code.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S3) further include by all STOCHASTIC DIFFUSIONs
Line forms polygon, the step S4 to trace successively) on identification stock in the regional area STOCHASTIC DIFFUSION trace item number,
If identifying that the item number of STOCHASTIC DIFFUSION trace is identical as the item number described in anti-counterfeiting characteristic code, continue will identify that random
Spreading the end of trace, line forms polygon successively, and with step S3) in form polygon and be compared, if the two is similar
Then it is determined as true.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the code identification be sequence number, bar code,
Quick Response Code, date of manufacture, batch number, Anti-fake digital, promotion integral code, prize code, anti-channel conflict coding or product traceability code.
The Antiforge recognizing method of above-mentioned fine diffusion trace, wherein the step S3) using the random of key pair acquisition
Anti-counterfeiting characteristic code is generated in advance after being encrypted in the item number and location information of diffusion trace again.
The present invention, which compares the prior art, following advantageous effect：The anti-counterfeit recognition of fine diffusion trace provided by the invention
Method, by obtaining the item number of STOCHASTIC DIFFUSION trace and location information and anti-counterfeiting characteristic code be generated in advance, identify on stock with
Machine spreads the item number and location information of trace, and distinguishes the true from the false with anti-counterfeiting characteristic code being generated in advance being compared, effectively prevent by
Anti-fake data after robber are not required to transmission picture for faking, and greatly improve transmission efficiency, save data traffic, and can facilitate
Ground realization is discerned the false from the genuine offline.
Description of the drawings
Fig. 1 is the two-dimension code structure schematic diagram for the fine diffusion trace based on printing that the present invention uses；
Fig. 2 is the anti-counterfeit recognition process schematic of the present invention.
Specific implementation mode
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the two-dimension code structure schematic diagram for the fine diffusion trace based on printing that the present invention uses；Fig. 2 is the present invention
Anti-counterfeit recognition process schematic.
Fig. 1 and Fig. 2 are referred to, by taking the Quick Response Code printed on stock as an example, under magnification, Quick Response Code has multiple
Trace 1 is spread, the Antiforge recognizing method of fine diffusion trace provided by the invention includes the following steps：
S1 the Printing Zone of code identification or graph-text identification) is selected on the substrate；
S2 code identification or graph-text identification with STOCHASTIC DIFFUSION trace) are formed in the Printing Zone；
S3 it) obtains the item number of STOCHASTIC DIFFUSION trace and location information and anti-counterfeiting characteristic code is generated in advance；
S4) identify the item number and location information of STOCHASTIC DIFFUSION trace on stock, and with the anti-counterfeiting characteristic code that is generated in advance
It is compared and distinguishes the true from the false.
The Antiforge recognizing method of fine diffusion trace provided by the invention, the step S3) in the anti-fake spy that is generated in advance
Levy code storage on the server, the step S4) by client software identify stock on STOCHASTIC DIFFUSION trace item number and
Location information, is uploaded to server and is compared with the anti-counterfeiting characteristic code being generated in advance on server and distinguish the true from the false；Or it is straight
It is connected on client and receives the anti-counterfeiting characteristic code that is issued from server and be compared and distinguish the true from the false, picture is replaced using anti-counterfeiting characteristic code
Transmission greatly improves transmission efficiency, saves data traffic.
The Antiforge recognizing method of fine diffusion trace provided by the invention, the step S3) in the anti-fake spy that is generated in advance
Sign code directly prints on the substrate, the step S4) pass through the item of STOCHASTIC DIFFUSION trace on client software identification stock
Number and location information, and be compared and distinguish the true from the false with the anti-counterfeiting characteristic code of printing on the substrate, it may not be necessary to network, it is real
It is now local to discern the false from the genuine offline.
The fine diffusion trace formed when the Antiforge recognizing method, generally printing of fine diffusion trace provided by the invention
(spreading trace 1) can guarantee random clearly feature substantially.Preferably, the step S2 prints in advance in the Printing Zone
Then diffusant coating forms code identification or picture and text with STOCHASTIC DIFFUSION trace on diffusant coating using ink jet printing
Mark, can also be used other ink mode of printings such as letterpress, intaglio printing, silk-screen printing or xerography certainly.In order to
It is more preferable to form diffusion trace, preferably slow curing ink, when the diffusion trace height h diffusions of code identification or graph-text identification reach
[0.015,0.03) mm when, covering is sprayed to code identification or picture and text by code identification into Printing Zone or graph-text identification
Diffusion trace in mark carries out pre-setting；Reach when the diffusion trace height h of code identification or graph-text identification is spread [0.03~
0.3] when mm, then hydroscopic fast-drying agent is sprayed by code identification into Printing Zone or graph-text identification and makes code identification or picture and text
Diffusion trace sizing in mark, the quick dry agent are tristerin, olein or other glyceride etc., the packet
It is alkyd resin, phenolic resin or acrylic resin to cover agent.The resin that the present invention adds can effectively with the pigment knot in ink
Altogether, for adjusting different pigment oil factors, to ensure ink, there are one suitable viscosity, and the effect of resin, which also resides in, to be helped
In granules of pigments cladding is got up rapidly so that pigment can reach thinner particle only by dispersion, to more preferable landform
At personalized diffusion trace.The sprinkling quality of the quick dry agent is 3~5 times of diffusant coating quality, to realize quick-drying
Agent improves rate of drying to the abundant cladding of diffusant and pigment, ensures the diffusion fast dry forming of trace, is unlikely to deform, drops significantly
The difficulty of low follow-up identifying processing.
Fine diffusion trace based on printing, all cannot be complete using the scanner of modern ultrahigh precision and photomechanical production
Same diffusion trace is presented again, therefore can function well as prevents printed matter to be replicated.In order to further increase replicate and
Scan fraud difficulty, the step S2) further include coating metal protective film and fixer film regular coding mark in the Printing Zone
Diffusion trace in knowledge or graph-text identification, and so that the light of duplicator is disperseed or is deflected using metal protective film；For example select oxygen
Change aluminium film as metal protective film, fakes so as to be better protected from duplicating and scanning, differentiate offline especially suitable for local.
Fake producer identifies the item number and location information of the STOCHASTIC DIFFUSION trace in anti-counterfeiting characteristic code, the step in order to prevent
Rapid S3) using key pair obtain STOCHASTIC DIFFUSION trace item number and location information be encrypted after anti-counterfeiting characteristic is generated in advance again
Code.
In order to further increase forgery difficulty, the Antiforge recognizing method of fine diffusion trace provided by the invention, the step
Rapid S3) ending coordinates of a STOCHASTIC DIFFUSION trace are at least chosen as location information, while to the STOCHASTIC DIFFUSION trace of selection
It is amplified and takes pictures, and store local diffusion trace feature photo as anti-counterfeiting characteristic record information.To a certain local diffusion
It is 8~80 times that trace feature photo, which preferably uses the microspur bust shot mode that object distance is less than 390mm, shooting amplification factor, with
Just can from captured photo, see the diffusion trace and its terminal position of as low as 0.01mm~0.3mm clearly.Record diffusion print
After the number of mark, location information and local diffusion trace feature photo, first to code identification or picture and text mark when anti-counterfeit recognition
Knowledge is compared, if inconsistent directly feedback expert's conclusion is fake products；If code identification or graph-text identification compare one
It causes, then the number and location information for continuing to compare diffusion trace finally compares if inconsistent feedback expert's conclusion is fake products
Whether the feature of the photo of at least one diffusion trace corresponding to the code identification or graph-text identification is consistent further compared
To verifying.
The code identification that the present invention uses can be sequence number, bar code, Quick Response Code, the date of manufacture, batch number, prevent
Pseudo- digital, promotion integral code, prize code, anti-channel conflict coding or product traceability code etc..For Quick Response Code, the expansion in overall printing area
Dissipating trace number may be very more.In order to improve accuracy of identification and efficiency, handles and compare convenient for subsequent storage, the step
The number and location information that S3 can choose diffusion trace in regional area carries out record storage；For example choose Quick Response Code mark zone
Or intermediate hollow part is used as local selection area, and the size and location information of local selection area is added to anti-counterfeiting characteristic code
In.The step S3) obtain the item number and its ending coordinates of all STOCHASTIC DIFFUSION traces in a certain regional area, and line successively
Form polygon, the step S4) on identification stock in the regional area STOCHASTIC DIFFUSION trace item number, if identify with
The item number that machine spreads trace is identical as the item number described in anti-counterfeiting characteristic code, then continues the end of STOCHASTIC DIFFUSION trace that will identify that
Line forms polygon successively at end, and with step S3) in form polygon and be compared, be determined as if the two is similar true.
Coordinate comparison one by one is replaced using simple wires, client can be handed down to and intuitively compared.
The Antiforge recognizing method of fine diffusion trace provided by the invention, code identification or graph-text identification are anti-together with thereon
Pseudo-characteristic record information is unified to be stored, and is recognized respectively, simple for process, easy to implement to promote；Using the item number of STOCHASTIC DIFFUSION trace
And location information and anti-counterfeiting characteristic code is generated in advance, the complexity of follow-up identifying processing is greatly simplified, identification precision is improved.Due to
Fine diffusion trace based on printing is all randomly generated, and the randomness with bigger greatly increases forgery difficulty, to have
Effect prevents the anti-fake data after being stolen for faking.
Although the present invention is disclosed as above with preferred embodiment, however, it is not to limit the invention, any this field skill
Art personnel, without departing from the spirit and scope of the present invention, when can make a little modification and it is perfect, therefore the present invention protection model
It encloses to work as and is subject to what claims were defined.
Claims (12)
1. a kind of Antiforge recognizing method of fine diffusion trace, which is characterized in that include the following steps：
S1 the Printing Zone of code identification or graph-text identification) is selected on the substrate；
S2 code identification or graph-text identification with STOCHASTIC DIFFUSION trace) are formed in the Printing Zone；
S3 it) obtains the item number of STOCHASTIC DIFFUSION trace and location information and anti-counterfeiting characteristic code is generated in advance；
S4 the item number and location information of STOCHASTIC DIFFUSION trace on stock) are identified, and is carried out with the anti-counterfeiting characteristic code being generated in advance
Compare and distinguishes the true from the false.
2. the Antiforge recognizing method of fine diffusion trace as described in claim 1, which is characterized in that the step S3) in it is pre-
The anti-counterfeiting characteristic code first generated stores on the server, the step S4) it is identified by client software and is expanded at random on stock
The item number and location information for dissipating trace, are uploaded to server and are compared with the anti-counterfeiting characteristic code being generated in advance on server and sentenced
The other true and false；Or the anti-counterfeiting characteristic code directly issued from server in client reception is compared and distinguishes the true from the false.
3. the Antiforge recognizing method of fine diffusion trace as described in claim 1, which is characterized in that the step S3) in it is pre-
The anti-counterfeiting characteristic code first generated directly prints on the substrate, the step S4) by client software identify stock on
Machine spreads the item number and location information of trace, and is compared and distinguishes the true from the false with the anti-counterfeiting characteristic code of printing on the substrate.
4. the Antiforge recognizing method of fine diffusion trace as described in claim 1, which is characterized in that the step S2) in institute
It states and prints diffusant coating in Printing Zone in advance, then being formed using ink jet printing on diffusant coating has STOCHASTIC DIFFUSION print
The code identification or graph-text identification of mark.
5. the Antiforge recognizing method of fine diffusion trace as claimed in claim 4, which is characterized in that the step S2) in when
The diffusion trace high diffusion of code identification or graph-text identification reaches 0.015mm≤h<When 0.03mm, by into Printing Zone
Code identification or graph-text identification sprinkling covering carry out pre-setting to the diffusion trace on code identification or graph-text identification；Work as coding
When mark or the diffusion trace high diffusion of graph-text identification reach 0.03mm≤h≤0.3mm, pass through the coding mark into Printing Zone
Know or graph-text identification sprinkling hydroscopic fast-drying agent makes the diffusion trace on code identification or graph-text identification shape.
6. the Antiforge recognizing method of fine diffusion trace as claimed in claim 5, which is characterized in that the step S2) in
Quick dry agent is tristerin or olein, and the covering is alkyd resin, phenolic resin or acrylic resin, institute
The sprinkling quality for stating quick dry agent is 3~5 times of diffusant coating quality.
7. the Antiforge recognizing method of fine diffusion trace as claimed in claim 4, which is characterized in that the step S2) also wrap
It includes and coats the diffusion trace on metal protective film and fixer film regular coding mark or graph-text identification in the Printing Zone, and adopt
With metal protective film so that the light dispersion or deflection of duplicator.
8. the Antiforge recognizing method of fine diffusion trace as described in claim 1, which is characterized in that the step S3) at least
The ending coordinates for choosing a STOCHASTIC DIFFUSION trace are put into as location information in anti-counterfeiting characteristic code, while to the random expansion of selection
Scattered trace, which is amplified, takes pictures, and stores local diffusion trace feature photo as anti-counterfeiting characteristic record information；The step S4)
Further include that the STOCHASTIC DIFFUSION print specified in location information is obtained using the code identification or graph-text identification on mobile phone shooting stock
The scene photograph in kind of mark, and done with pre-stored local diffusion trace feature photo and further compare verification.
9. the Antiforge recognizing method of fine diffusion trace as described in claim 1, which is characterized in that the step S3) it obtains
The item number and its ending coordinates of all STOCHASTIC DIFFUSION traces in a certain regional area, and according to the size of local selection area, office
The location information of portion's selection area, the part selection area all STOCHASTIC DIFFUSION traces item number and each STOCHASTIC DIFFUSION
Trace location information generates anti-counterfeiting characteristic code.
10. the Antiforge recognizing method of fine diffusion trace as claimed in claim 9, which is characterized in that the step S3) also wrap
Include and all STOCHASTIC DIFFUSION traces successively line formed into polygon, the step S4) on identification stock in the regional area with
Machine spreads the item number of trace, if identifying that the item number of STOCHASTIC DIFFUSION trace is identical as the item number described in anti-counterfeiting characteristic code,
Continuing the end of the STOCHASTIC DIFFUSION trace that will identify that, line forms polygon successively, and with step S3) in form polygon
It is compared, is determined as if the two is similar true.
11. such as the Antiforge recognizing method of the fine diffusion trace of claim 1~10 any one of them, which is characterized in that described
Code identification is sequence number, bar code, Quick Response Code, date of manufacture, batch number, Anti-fake digital, promotion integral code, prize
Code, anti-channel conflict coding or product traceability code.
12. the Antiforge recognizing method of fine diffusion trace as claimed in claim 11, which is characterized in that the step S3) it adopts
Anti-counterfeiting characteristic code is generated in advance after being encrypted in the item number and location information of the STOCHASTIC DIFFUSION trace obtained with key pair again.
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|---|---|---|---|
| CN201810456849.8A CN108647980B (en) | 2018-05-14 | 2018-05-14 | Anti-counterfeiting identification method for micro-fine diffusion print |
| PCT/CN2018/116145 WO2019218624A1 (en) | 2018-05-14 | 2018-11-19 | Anti-counterfeiting identification method for micro-diffusion printing |
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| CN201810456849.8A CN108647980B (en) | 2018-05-14 | 2018-05-14 | Anti-counterfeiting identification method for micro-fine diffusion print |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019218624A1 (en) * | 2018-05-14 | 2019-11-21 | 励元科技(上海)有限公司 | Anti-counterfeiting identification method for micro-diffusion printing |
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| CN112801254A (en) * | 2021-02-07 | 2021-05-14 | 拍拍看(海南)人工智能有限公司 | High-precision sawtooth anti-counterfeiting method |
| CN113656631A (en) * | 2021-08-20 | 2021-11-16 | 上海烟草集团有限责任公司 | Method for generating product identity, method, device and equipment for identifying identity |
| CN115329919B (en) * | 2022-10-08 | 2023-05-12 | 北京微点科学技术有限公司 | Random additional point anti-counterfeiting method and device based on micro point code |
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| CN108647980B (en) * | 2018-05-14 | 2020-02-18 | 励元科技(上海)有限公司 | Anti-counterfeiting identification method for micro-fine diffusion print |
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| WO2019218624A1 (en) * | 2018-05-14 | 2019-11-21 | 励元科技(上海)有限公司 | Anti-counterfeiting identification method for micro-diffusion printing |
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