CN106650865A - Anti-counterfeit mark recognition method - Google Patents
Anti-counterfeit mark recognition method Download PDFInfo
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- CN106650865A CN106650865A CN201610892116.XA CN201610892116A CN106650865A CN 106650865 A CN106650865 A CN 106650865A CN 201610892116 A CN201610892116 A CN 201610892116A CN 106650865 A CN106650865 A CN 106650865A
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000007639 printing Methods 0.000 claims abstract description 24
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- 238000007373 indentation Methods 0.000 claims description 14
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- 238000009792 diffusion process Methods 0.000 claims description 8
- 239000011248 coating agent Substances 0.000 claims description 6
- 238000000576 coating method Methods 0.000 claims description 6
- 238000005520 cutting process Methods 0.000 claims description 6
- 239000003795 chemical substances by application Substances 0.000 claims description 4
- 239000000853 adhesive Substances 0.000 claims description 3
- 230000001070 adhesive effect Effects 0.000 claims description 3
- 238000007641 inkjet printing Methods 0.000 claims description 3
- 238000004513 sizing Methods 0.000 claims description 3
- 238000005507 spraying Methods 0.000 claims description 2
- 238000010521 absorption reaction Methods 0.000 claims 1
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- 230000008569 process Effects 0.000 abstract description 7
- 230000008901 benefit Effects 0.000 abstract description 2
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- 238000010586 diagram Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000002274 desiccant Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000005022 packaging material Substances 0.000 description 2
- 239000000049 pigment Substances 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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- 238000005253 cladding Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
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- 235000013399 edible fruits Nutrition 0.000 description 1
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- 229920003023 plastic Polymers 0.000 description 1
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- 239000002023 wood Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
- G06K19/06037—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking multi-dimensional coding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/06009—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
- G06K19/06046—Constructional details
- G06K19/06056—Constructional details the marking comprising a further embedded marking, e.g. a 1D bar code with the black bars containing a smaller sized coding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
- G09F3/00—Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
- G09F3/02—Forms or constructions
- G09F3/0297—Forms or constructions including a machine-readable marking, e.g. a bar code
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Credit Cards Or The Like (AREA)
- Printing Methods (AREA)
Abstract
The invention discloses an anti-counterfeit mark recognition method. The method includes the following steps that: a) an anti-counterfeit information carrier with a random texture structure is selected as a code identifier or graphic-text identifier printing area on an object to be printed; b) a code identifier or a graphic-text identifier with a random jagged edge is formed in the printing area; and c) the overlapping points of the random texture structure and the random jagged edge are obtained and are adopted as anti-counterfeit feature record information. According to the anti-counterfeit mark recognition method of the invention, the overlapping points of the random texture structure and the random jagged edge are obtained and are adopted as the anti-counterfeit feature record information, and therefore, a requirement for the clarity of the random texture structure can be lowered, a more personalized random texture structure can be manufactured more easily, and the complexity of subsequent recognition processing can be greatly simplified, and recognition accuracy can be improved; and since the texture structure and jagged edge are randomly generated, the overlapping points of the texture structure and the jagged edge have greater randomness, so that counterfeiting difficulty is greatly increased, and therefore, a condition that anti-counterfeit data are used in counterfeiting after an anti-counterfeit mark is stolen can be avoided. The method has the advantages of simple process and easiness in implementation.
Description
Technical field
The present invention relates to a kind of method for anti-counterfeit, more particularly to a kind of anti-fake mark recognition methods.
Background technology
Texture anti-fake is a kind of anti-counterfeiting technology that the speckle mark with packaging material inherently is marked as anti-counterfeit recognition.From
So the speckle on boundary always varies, such as fingerprint, wood grain, bag, zebra-stripe, ice line, dry and cracked ground texture be all with
It is machine, unique, can not possibly have two it is duplicate.Using this principle, from clean mark packaging material make it is anti-
Pseudo label, is shot, is numbered, is filed, is stored in false proof database to the speckle mark of each piece of label material.
Additionally, the diffusion streakline of printed codes or printing figure message is micro- curve of a rule random bend, with randomness,
Uniqueness, non-reproduction.Hence with the convex diffusion line (being commonly called as burr) or recessed in the ink such as coding/picture and text edge
The diffusion line (being commonly called as gap) for going down carries out anti-counterfeit recognition, the toothed edge 1 in such as Fig. 1, and with process is simple, false proof data are difficult to
The advantage of fraud.
But whether be the random hackle mark that natural texture structure or printing are formed, when actually carrying out Application in Anti-counterfeiting,
Still suffer from following shortcoming：1st, textural characteristics may be not clear enough, lacking individuality；2nd, coding/picture and text diffusion line itself is easily produced
Change shape, fades, and finally considerably increases identification difficulty；3rd, complex is processed to the judgement of texture paging, it is difficult to ensure
Reach higher identification.
The content of the invention
The technical problem to be solved is to provide a kind of anti-fake mark recognition methods, is not only able to reduce to random
The requirement of texture structure definition, it is easy to which manufacture forms the random grain of more personalized, and greatly simplifies at follow-up identification
The complexity of reason, greatly improves identification precision, so as to effectively prevent it is stolen after false proof data be used to fake, and process is simple,
It is easy to implement to promote.
The technical scheme that the present invention is adopted to solve above-mentioned technical problem is to provide a kind of anti-fake mark recognition methods, wraps
Include following steps：A) from the anti false information carrier with random grain structure as code identification on stock or graph-text identification
Printing Zone；B) code identification with random toothed edge or graph-text identification are formed in the Printing Zone；C) random grain is obtained
The cross over point of structure and random toothed edge is used as anti-counterfeiting characteristic record information.
Above-mentioned anti-fake mark recognition methods, wherein, the surface of stock is provided with fiber, the fiber in the step a)
The surface for sticking on stock by adhesive phase forms the anti false information carrier with random grain structure.
Above-mentioned anti-fake mark recognition methods, wherein, in advance printing diffusant is applied the step b) in the Printing Zone
Layer, then forms the code identification with random toothed edge or graph-text identification in diffusant coating using ink jet printing.
Above-mentioned anti-fake mark recognition methods, wherein, when code identification or the toothed edge of graph-text identification in the step b)
When high diffusion reaches 0.03mm, by spraying hydroscopic fast-drying agent to the code identification in Printing Zone or graph-text identification coding is caused
Toothed edge sizing in mark or graph-text identification.
Above-mentioned anti-fake mark recognition methods, wherein, the number and location information of step c) the record storage cross over points,
During anti-counterfeit recognition code identification or graph-text identification are compared first, if inconsistent direct feedback expert's conclusion is produced for personation
Product；If code identification or graph-text identification compare consistent, the number and location information of continuation comparison cross over point.
Above-mentioned anti-fake mark recognition methods, wherein, the step c) chooses the number of cross over point and position in regional area
Confidence breath carries out record storage.
Above-mentioned anti-fake mark recognition methods, wherein, the step b) is additionally included in selected regional area and draws sky at random
White line carries out cutting and forms toothed edge to undried code identification after printing or graph-text identification, while cutting anti false information carrier
On random grain structure form breakpoint, record the cross over point of the random toothed edge and the random grain structure that are formed in cut place,
And the breakpoint in the random grain structure adjacent with the cross over point, and record the distance between every a pair of cross over points and breakpoint.
Above-mentioned anti-fake mark recognition methods, wherein, during anti-counterfeit recognition code identification or graph-text identification are compared first
It is right, if inconsistent direct feedback expert's conclusion is fake products；If code identification or graph-text identification are compared unanimously, then compare
Whether it is consistent compared with the distance between cross over point and the logarithm of breakpoint and every a pair of cross over points and breakpoint.
Above-mentioned anti-fake mark recognition methods, wherein in the step c) at least chooses the random saw at a cross over point
Tooth side is amplified takes pictures, and obtains the local indentation feature photo of the code identification or graph-text identification, and it is special to store local indentation
Photo is levied as anti-counterfeiting characteristic record information.
Above-mentioned anti-fake mark recognition methods, wherein, the number and location information of step c) the record storage cross over points,
During anti-counterfeit recognition code identification or graph-text identification are compared first, if inconsistent direct feedback expert's conclusion is produced for personation
Product；If code identification or graph-text identification compare consistent, the number and location information of continuation comparison cross over point, if inconsistent
Feedback expert's conclusion is fake products, finally compare at the code identification or corresponding at least one cross over point of graph-text identification with
Whether the feature of machine toothed edge photo is consistent.
Above-mentioned anti-fake mark recognition methods, wherein, the step c) shoots the code identification on stock using mobile phone
Or graph-text identification, the scene photograph in kind with local indentation feature is obtained, then again scene photograph in kind is uploaded into calculating
Machine anti-fake network inquiry system is identified；If code identification or graph-text identification are consistent, feedback Preliminary Identification conclusion be it is true,
And the link of final expert's conclusion is returned on user mobile phone；Before the link of final expert's conclusion is opened by user's point one
In the section time, computer anti-fake network inquiry system is by the local indentation feature photo of scene photograph in kind and storage of putting on record in advance
Compare, that at least selectes the random toothed edge at a cross over point carries out similitude comparison, and wait user's point open chain to connect,
Obtain final conclusion.
Present invention contrast prior art has following beneficial effect：The anti-fake mark recognition methods that the present invention is provided, passes through
The cross over point of random grain structure and random toothed edge is obtained as anti-counterfeiting characteristic record information, is not only able to reduce to random line
The requirement of reason text structure, it is easy to which manufacture forms the random grain of more personalized, and greatly simplifies follow-up identifying processing
Complexity, improve identification precision.Simultaneously because texture structure and toothed edge are all randomly generated, both cross over points have more
Big randomness, greatly increases forgery difficulty, so as to effectively prevent it is stolen after false proof data be used for fake, and technique letter
It is single, it is easy to practice and extension.
Description of the drawings
Fig. 1 is the existing two-dimension code structure schematic diagram using diffusion line；
Fig. 2 is the two-dimension code structure schematic diagram of the present invention；
Fig. 3 is the anti-counterfeit recognition process schematic of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples the invention will be further described.
Fig. 2 is the two-dimension code structure schematic diagram of the present invention；Fig. 3 is the anti-counterfeit recognition process schematic of the present invention.
Fig. 2 and Fig. 3 is referred to, Quick Response Code is printed with stock 2, the random grain structure on stock 2 is fiber 3,
Quick Response Code is covered on fiber 3, and the toothed edge 1 of Quick Response Code and the part of fiber 3 are overlapping, the anti-fake mark identification side that the present invention is provided
Method, comprises the steps：
Step S1：From the anti false information carrier with random grain structure as code identification on stock or picture and text mark
The Printing Zone of knowledge；
Step S2：The code identification with random toothed edge or graph-text identification are formed in the Printing Zone；
Step S3：The cross over point of random grain structure and random toothed edge is obtained as anti-counterfeiting characteristic record information；Such as
The number and location information of record storage cross over point, compares first, such as during anti-counterfeit recognition to code identification or graph-text identification
Really inconsistent direct feedback expert's conclusion is fake products；If code identification or graph-text identification compare consistent, continuation comparison
The number and location information of cross over point.
The present invention can be directly using the intrinsic texture structure of natural material as anti false information carrier, and such as structural texture is clear
The obvious wooden unit of clear, natural spot, stone, plant stem-leaf, shell etc.；Or specially add can when stock is manufactured
Produce clearly plastics of the pigment of random structure texture, debris, irregularly shaped particles or bubble, glass, ceramic or compound
Material.Because the present invention is not required to directly compare native texture structure, therefore general native texture structure can meet this substantially
The requirement of invention.Preferably, the surface of stock is provided with fiber in step S1, and the fiber is sticked on by adhesive phase
The surface of stock forms the anti false information carrier with random grain structure.
The anti-fake mark recognition methods that the present invention is provided, the random toothed edge formed during general printing can guarantee that substantially with
Machine texture structure forms clearly cross over point.Preferably, step S2 prints in advance diffusant coating in the Printing Zone,
Then the code identification with random toothed edge or graph-text identification are formed using ink jet printing in diffusant coating, also may be used certainly
Using other ink mode of printings such as letterpress, intaglio printing, serigraphy or xerography.In order to more preferably form sawtooth
Side, preferred slow curing ink, when the toothed edge high diffusion of code identification or graph-text identification reaches 0.03mm, then by printing
Code identification or graph-text identification sprinkling hydroscopic fast-drying agent in area causes code identification or the sizing of the toothed edge on graph-text identification, institute
It is tristerin, olein or other glyceride etc. to state quick dry agent, and the sprinkling quality of the quick dry agent is diffusant
3～5 times of coating quality, so as to realize that quick dry agent, to diffusant and the abundant cladding of pigment, improves rate of drying, it is ensured that sawtooth
The fast dry forming in side, is unlikely to deform, and substantially reduces follow-up identification and compares difficulty.
The code identification that the present invention is used can be sequence number, bar code, Quick Response Code, the date of manufacture, batch number, anti-
Pseudo- digital, promotion integration code, prize code, anti-channel conflict coding or product are traced to the source code etc..For Quick Response Code, the friendship in overall printing area
Folded counting out may be very more.Process for the ease of follow-up storage and compare, step S3 can be chosen in regional area
The number and location information of cross over point carries out record storage；Such as choose Quick Response Code mark zone or middle hollow part is selected as local
Determine region.
In order to not affect the overall definition of code identification or graph-text identification, the present invention to may be selected only in selected local
Region is drawn at random stray line and carries out cutting to undried code identification after printing or graph-text identification and forms toothed edge, while cutting
Random grain structure on anti false information carrier forms breakpoint, records the random toothed edge formed in cut place and ties with random grain
Breakpoint on the cross over point of structure, and the random grain structure adjacent with the cross over point, and record every a pair of cross over points and breakpoint
The distance between.During anti-counterfeit recognition, code identification or graph-text identification are compared first, if the identification of inconsistent direct feedback
Conclusion is fake products；If code identification or graph-text identification compare it is consistent, then compare cross over point and breakpoint logarithm and
Whether the distance between every a pair of cross over points and breakpoint are consistent.It is identified by logarithm, further increases false proof difficulty；Remember simultaneously
Record per a pair the distance between 2 points replace positional information, it is easy to storage is processed, and substantially reduces comparison difficulty.
In order to further improve forgery difficulty, the random toothed edge that the present invention can also be at least chosen at a cross over point enters
Row amplification is taken pictures, and obtains the local indentation feature photo of the code identification or graph-text identification, and stores local indentation feature photo
As anti-counterfeiting characteristic record information.To microspur bust shot side of the local sawtooth features photo preferably using object distance less than 390mm
Formula, it is 8～80 times to shoot multiplication factor, so as to from captured photo, see the little striped to 0.01mm～0.3mm clearly
Side and its cross over point of formation.After the number of record storage cross over point, positional information and local indentation feature photo, false proof knowledge
When other code identification or graph-text identification are compared first, if inconsistent direct feedback expert's conclusion is fake products；Such as
Fruit code identification or graph-text identification are compared unanimously, then continue the number and location information for comparing cross over point, if inconsistent feedback
Expert's conclusion is fake products, finally compares the code identification or the random saw at corresponding at least one cross over point of graph-text identification
Whether the feature of tooth side photo is consistent.
By taking existing smart mobile phone as an example, during anti-counterfeit recognition, the code identification or picture and text mark on stock is shot using mobile phone
Know, obtain the scene photograph in kind with local indentation feature, then again scene photograph in kind is uploaded into computer anti-counterfeiting mesh
Network inquiry system is identified；If code identification or graph-text identification are consistent, feedback Preliminary Identification conclusion is true, and will be final
The link of expert's conclusion is returned on user mobile phone；A period of time before the link of final expert's conclusion is opened by user's point
In, computer anti-fake network inquiry system is compared scene photograph in kind with the local indentation feature photo of storage of putting on record in advance
Right, that at least selectes the random toothed edge at a cross over point carries out similitude comparison, and waits user's point open chain to connect, obtain most
Termination opinion.Such as randomly select one or more cross over points in local indentation feature photo, if at same cross over point with
The difference in height of machine toothed edge is respectively less than pre-set threshold value, then judge that both are similar.
The anti-fake mark recognition methods that the present invention is provided, code identification or graph-text identification are put on record together with anti-counterfeiting characteristic thereon
Information unification is stored, and is recognized respectively, process is simple, it is easy to practice and extension；Using the friendship of random grain structure and random toothed edge
Folded point greatly simplifies the complexity of follow-up identifying processing as anti-counterfeiting characteristic record information, improves identification precision.Simultaneously because line
Reason structure and toothed edge are all randomly generated, and both cross over points have bigger randomness, greatly increase forgery difficulty, from
And effectively prevent it is stolen after false proof data be used for fake.
Although the present invention is disclosed as above with preferred embodiment, so it is not limited to the present invention, any this area skill
Art personnel, without departing from the spirit and scope of the present invention, when a little modification and perfect, therefore the protection model of the present invention can be made
Enclose when by being defined that claims are defined.
Claims (11)
1. a kind of anti-fake mark recognition methods, it is characterised in that comprise the steps：
A) anti false information carrier with random grain structure is selected as the printing of code identification on stock or graph-text identification
Area；
B) code identification with random toothed edge or graph-text identification are formed in the Printing Zone；
C) cross over point of random grain structure and random toothed edge is obtained as anti-counterfeiting characteristic record information.
2. micro- line method for anti-counterfeit as claimed in claim 1, it is characterised in that the surface of stock is provided with fibre in the step a)
Dimension, the fiber forms the anti false information carrier with random grain structure by the surface that adhesive phase sticks on stock.
3. anti-fake mark recognition methods as claimed in claim 1, it is characterised in that the step b) is pre- in the Printing Zone
First print diffusant coating, then in diffusant coating using ink jet printing formed with random toothed edge code identification or
Graph-text identification.
4. anti-fake mark recognition methods as claimed in claim 3, it is characterised in that when code identification or figure in the step b)
When the toothed edge high diffusion of text mark reaches 0.03mm, by spraying moisture absorption to the code identification in Printing Zone or graph-text identification
Quick dry agent causes code identification or the sizing of the toothed edge on graph-text identification.
5. anti-fake mark recognition methods as claimed in claim 1, it is characterised in that step c) the record storage cross over points
Number and location information, compares first during anti-counterfeit recognition to code identification or graph-text identification, if inconsistent direct feedback
Expert's conclusion is fake products；If code identification or graph-text identification are compared unanimously, continue number and the position for comparing cross over point
Confidence ceases.
6. anti-fake mark recognition methods as claimed in claim 1, it is characterised in that the step c) chooses in regional area and hands over
The number and location information of folded point carries out record storage.
7. anti-fake mark recognition methods as claimed in claim 6, it is characterised in that the step b) is additionally included in selected office
Portion region is drawn at random stray line and carries out cutting to undried code identification after printing or graph-text identification and forms toothed edge, while cutting
The random grain structure cut on anti false information carrier forms breakpoint, records the random toothed edge and random grain formed in cut place
Breakpoint on the cross over point of structure, and the random grain structure adjacent with the cross over point, and record every a pair of cross over points and break
The distance between point.
8. anti-fake mark recognition methods as claimed in claim 7, it is characterised in that during anti-counterfeit recognition first to code identification or
Graph-text identification is compared, if inconsistent direct feedback expert's conclusion is fake products；If code identification or graph-text identification
Compare consistent, then compare whether the distance between cross over point and the logarithm of breakpoint and every a pair of cross over points and breakpoint are consistent.
9. anti-fake mark recognition methods as claimed in claim 1, it is characterised in that the step c) at least chooses and overlaps
Random toothed edge at point is amplified takes pictures, and obtains the local indentation feature photo of the code identification or graph-text identification, and deposits
Storage local indentation feature photo is used as anti-counterfeiting characteristic record information.
10. anti-fake mark recognition methods as claimed in claim 9, it is characterised in that step c) the record storage cross over points
Number and location information, during anti-counterfeit recognition code identification or graph-text identification are compared first, if inconsistent directly anti-
Feedback expert's conclusion is fake products；If code identification or graph-text identification compare it is consistent, the number that continues to compare cross over point and
Positional information, if inconsistent feedback expert's conclusion is fake products, finally compares the code identification or graph-text identification is corresponding
Whether the feature of the random toothed edge photo at least one cross over point is consistent.
11. anti-fake mark recognition methods as claimed in claim 10, it is characterised in that the step c) is shot using mobile phone and held
Code identification or graph-text identification on print thing, obtains the scene photograph in kind with local indentation feature, then again will be in kind existing
Field photo upload is identified to computer anti-fake network inquiry system；If code identification or graph-text identification are consistent, feed back
Preliminary Identification conclusion is true, and the link of final expert's conclusion is returned on user mobile phone；In the link of final expert's conclusion
Following period of time before being opened by user's point, computer anti-fake network inquiry system is by scene photograph in kind and storage of putting on record in advance
Local indentation feature photo compare, at least selecting the random toothed edge at cross over point carries out similitude comparison,
And wait user's point open chain to connect, obtain final conclusion.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610892116.XA CN106650865B (en) | 2016-10-12 | 2016-10-12 | A kind of anti-fake mark recognition methods |
| PCT/CN2017/087654 WO2018068520A1 (en) | 2016-10-12 | 2017-06-09 | Anti-counterfeiting marker recognition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610892116.XA CN106650865B (en) | 2016-10-12 | 2016-10-12 | A kind of anti-fake mark recognition methods |
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| Publication Number | Publication Date |
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| CN106650865A true CN106650865A (en) | 2017-05-10 |
| CN106650865B CN106650865B (en) | 2018-05-11 |
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| CN201610892116.XA Active CN106650865B (en) | 2016-10-12 | 2016-10-12 | A kind of anti-fake mark recognition methods |
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| WO (1) | WO2018068520A1 (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107204149A (en) * | 2017-06-05 | 2017-09-26 | 深圳市鹰眼在线电子科技有限公司 | Anti-counterfeiting mark and anti-counterfeiting mark identification terminal |
| CN107609883A (en) * | 2017-09-11 | 2018-01-19 | 戴安乾 | Fake certification shared system and verification method |
| WO2018068520A1 (en) * | 2016-10-12 | 2018-04-19 | 无锡新光印标识科技有限公司 | Anti-counterfeiting marker recognition method |
| CN108038533A (en) * | 2017-12-29 | 2018-05-15 | 靖州鑫兴智能科技有限公司 | Smart card of the one false proof line of koji line and preparation method thereof |
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| CN108877482A (en) * | 2018-07-02 | 2018-11-23 | 成都市曼苗科技有限公司 | label |
| CN109031480A (en) * | 2018-06-26 | 2018-12-18 | 昇印光电（昆山）股份有限公司 | Optical film and decoration |
| CN109427239A (en) * | 2017-08-22 | 2019-03-05 | 北京柯斯元科技有限公司 | Anti-counterfeit sign with random texture structure and method for anti-counterfeit |
| CN109529310A (en) * | 2017-09-22 | 2019-03-29 | 天使游戏纸牌股份有限公司 | Shuffle the manufacturing method of playing card and playing card |
| CN109636407A (en) * | 2018-11-02 | 2019-04-16 | 立旃（上海）科技有限公司 | Product anti-fake mark and verification method and device based on block chain |
| CN110084348A (en) * | 2019-04-12 | 2019-08-02 | 海南亚元防伪技术研究所（普通合伙） | Three-dimensional sawtooth anti-fake product |
| CN111461102A (en) * | 2020-04-22 | 2020-07-28 | 艾科芯（深圳）智能科技有限公司 | Anti-counterfeiting identification method, device, equipment terminal and readable storage medium |
| CN111798740A (en) * | 2020-07-29 | 2020-10-20 | 云南易见纹语科技有限公司 | Anti-counterfeiting mark, system, generation method and anti-counterfeiting mark identification method and device |
| CN112927600A (en) * | 2020-11-28 | 2021-06-08 | 拍拍看(海南)人工智能有限公司 | 3D information anti-counterfeiting mark |
| CN115222000A (en) * | 2022-05-24 | 2022-10-21 | 广州市诚投科技有限公司 | Anti-counterfeiting picture label manufacturing method, intelligent identification system and identification method |
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| CN204883768U (en) * | 2015-08-31 | 2015-12-16 | 杨骏 | False proof mark , product packaging and false proof mark's manufacturing system |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2018068520A1 (en) * | 2016-10-12 | 2018-04-19 | 无锡新光印标识科技有限公司 | Anti-counterfeiting marker recognition method |
| CN107204149A (en) * | 2017-06-05 | 2017-09-26 | 深圳市鹰眼在线电子科技有限公司 | Anti-counterfeiting mark and anti-counterfeiting mark identification terminal |
| CN109427239A (en) * | 2017-08-22 | 2019-03-05 | 北京柯斯元科技有限公司 | Anti-counterfeit sign with random texture structure and method for anti-counterfeit |
| CN107609883A (en) * | 2017-09-11 | 2018-01-19 | 戴安乾 | Fake certification shared system and verification method |
| CN109529310A (en) * | 2017-09-22 | 2019-03-29 | 天使游戏纸牌股份有限公司 | Shuffle the manufacturing method of playing card and playing card |
| CN108038533A (en) * | 2017-12-29 | 2018-05-15 | 靖州鑫兴智能科技有限公司 | Smart card of the one false proof line of koji line and preparation method thereof |
| CN108528077A (en) * | 2018-03-23 | 2018-09-14 | 海南亚元防伪技术研究所（普通合伙） | Wet press Processes and apparatus |
| CN109031480A (en) * | 2018-06-26 | 2018-12-18 | 昇印光电（昆山）股份有限公司 | Optical film and decoration |
| CN109031480B (en) * | 2018-06-26 | 2021-04-23 | 昇印光电（昆山）股份有限公司 | Optical film and decorative member |
| CN108877482A (en) * | 2018-07-02 | 2018-11-23 | 成都市曼苗科技有限公司 | label |
| CN109636407A (en) * | 2018-11-02 | 2019-04-16 | 立旃（上海）科技有限公司 | Product anti-fake mark and verification method and device based on block chain |
| CN110084348A (en) * | 2019-04-12 | 2019-08-02 | 海南亚元防伪技术研究所（普通合伙） | Three-dimensional sawtooth anti-fake product |
| CN111461102A (en) * | 2020-04-22 | 2020-07-28 | 艾科芯（深圳）智能科技有限公司 | Anti-counterfeiting identification method, device, equipment terminal and readable storage medium |
| CN111798740A (en) * | 2020-07-29 | 2020-10-20 | 云南易见纹语科技有限公司 | Anti-counterfeiting mark, system, generation method and anti-counterfeiting mark identification method and device |
| CN112927600A (en) * | 2020-11-28 | 2021-06-08 | 拍拍看(海南)人工智能有限公司 | 3D information anti-counterfeiting mark |
| CN115222000A (en) * | 2022-05-24 | 2022-10-21 | 广州市诚投科技有限公司 | Anti-counterfeiting picture label manufacturing method, intelligent identification system and identification method |
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| CN106650865B (en) | 2018-05-11 |
| WO2018068520A1 (en) | 2018-04-19 |
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