CN106446866B - A kind of false-proof texture recognition methods - Google Patents
A kind of false-proof texture recognition methods Download PDFInfo
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- CN106446866B CN106446866B CN201610890975.5A CN201610890975A CN106446866B CN 106446866 B CN106446866 B CN 106446866B CN 201610890975 A CN201610890975 A CN 201610890975A CN 106446866 B CN106446866 B CN 106446866B
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
Abstract
The invention discloses a kind of false-proof texture recognition methods, include the following steps：A) Printing Zone of the anti false information carrier with random grain structure as code identification/graph-text identification on stock is selected；B) it prints to form code identification/graph-text identification in the Printing Zone, the code identification/graph-text identification at least partly covers in the random grain structure on the anti false information carrier；C) cross over point of code identification/graph-text identification and random grain structure is obtained as anti-counterfeiting characteristic record information.The present invention is not only able to reduce the requirement to random grain text structure, and greatly simplifies the complexity of follow-up identifying processing, improves identification precision.It is randomly generated due to texture structure, the cross over point that coding or picture and text cover is also random, to greatly increase forgery difficulty, effectively prevent the anti-fake data after being stolen for faking, and simple for process, easy to implement to promote.
Description
Technical field
The present invention relates to a kind of method for anti-counterfeit more particularly to a kind of false-proof texture recognition methods.
Background technology
Texture anti-fake is a kind of anti-counterfeiting technology marked as anti-counterfeit recognition using the speckle mark of packaging material inherently.From
The speckle on right boundary is always multifarious, such as fingerprint, wood grain, stone pattern, zebra-stripe, ice line, dry and cracked ground texture be all with
It is machine, unique, impossible that there are two duplicate.Using this principle, the packaging material of clean mark is selected to be made anti-
Pseudo label shoots the speckle mark of each piece of label material, is numbered, is filed, is stored in false proof database.
In addition, the diffusion streakline of printed codes or printing figure message is micro- curve of a rule random bend, have randomness,
Uniqueness, non-reproduction.Therefore the convex diffusion line (being commonly called as burr) or recessed in the ink such as coding/picture and text edge is utilized
The diffusion line (being commonly called as gap) that goes down carries out anti-counterfeit recognition, such as the toothed edge 1 in Fig. 1, has simple for process, anti-fake data are difficult to
The advantages of fraud.
But whether be the random hackle mark that natural texture structure or printing are formed, when reality carries out Application in Anti-counterfeiting,
There are still following disadvantages：1, textural characteristics may be not clear enough, lacking individuality；2, coding/picture and text diffusion line itself is easy production
Change shape, fades, finally considerably increases identification difficulty；3, the judgement of texture paging is handled complex, it is difficult to ensure
Reach higher identification.
Invention content
Technical problem to be solved by the invention is to provide a kind of false-proof texture recognition methods, it is not only able to reduce to random
The requirement of texture structure clarity, and the complexity of follow-up identifying processing is greatly simplified, identification precision is greatly improved, to have
Effect prevents the anti-fake data after being stolen for faking, and simple for process, easy to implement to promote.
The present invention wraps to solve above-mentioned technical problem and the technical solution adopted is that provide a kind of false-proof texture recognition methods
Include following steps：A) select the anti false information carrier with random grain structure as code identification/graph-text identification on stock
Printing Zone；B) it prints to form code identification/graph-text identification in the Printing Zone, the code identification/graph-text identification at least portion
Divide the random grain structure covered on the anti false information carrier；C) code identification/graph-text identification and random grain knot are obtained
The cross over point of structure is as anti-counterfeiting characteristic record information.
Further, the surface of stock is equipped with fiber in the step a), and the fiber is sticked on by adhesive phase
The surface of stock forms the anti false information carrier with random grain structure.
Further, the number of step c) the record storage cross over point, first to code identification or figure when anti-counterfeit recognition
Text mark is compared, if inconsistent directly feedback expert's conclusion is fake products；If code identification or graph-text identification ratio
To consistent, then whether the number for continuing to compare cross over point is consistent.
Further, the step c) choose the number of the cross over point of partial closure region sideline and random grain structure into
Row record storage and follow-up comparison.
Further, the location information of the step c) also record storage cross over point compares when anti-counterfeit recognition overlapping simultaneously
Whether the number and location information of point is consistent.
Further, the random grain structure is the pseudo- slice that addition irregularly shaped particles are formed when producing stock
Line；The mark zone that the step c) chooses Quick Response Code is used as partial closure region, the selection mark zone sidelines step c) and with
Machine texture structure it is overlapping count out and mark zone in include pseudomorphism striped number carry out record storage and follow-up compare.
Further, the step c) at least chooses three friendships in the opposite white space of code identification/graph-text identification
Folded point carries out record storage；When anti-fake comparison, the cross over point of selection is sequentially connected to form partial closure region, and compare part
Whether closed area sideline and the number for being formed by virtual cross over point of random grain structure are consistent.
Further, the random grain structure is the pseudo- slice that addition irregularly shaped particles are formed when producing stock
Line；Whether consistent the step c) also compares the pseudomorphism striped number for including in partial closure region in anti-fake comparison.
Further, the step c) prestores code identification/graph-text identification photo, when anti-counterfeit recognition, obtains in kind
Scene photograph is first compared code identification or graph-text identification, if inconsistent directly feedback expert's conclusion is that personation is produced
Product；If code identification or graph-text identification compare unanimously, continue the number and the position that compare the cross over point in scene photograph in kind
Whether confidence breath is consistent with prestored information.
Further, if the location information of the part cross over point in scene photograph in kind is consistent with prestored information, divide
It is not sequentially connected corresponding cross over point to form partial closure region on scene photograph in kind in the photo that prestores, and compares part
Whether closed area sideline and the random grain structure number for being formed by virtual cross over point are consistent, if inconsistent feedback is identified
Conclusion is fake products.
Further, the random grain structure is the pseudo- slice that addition irregularly shaped particles are formed when producing stock
Line；If the number of virtual cross over point is consistent, and the number of virtual cross over point is less than pre-set threshold value, then continues to compare partial closure
Whether the pseudomorphism striped number for including in region is consistent, if inconsistent feedback expert's conclusion is fake products.
The present invention, which compares the prior art, following advantageous effect：False-proof texture recognition methods provided by the invention, passes through
The cross over point of random grain structure and code identification/graph-text identification is obtained as anti-counterfeiting characteristic record information, is not only able to reduce
Requirement to random grain text structure, and the complexity of follow-up identifying processing is greatly simplified, improve identification precision.Due to
What texture structure was randomly generated, the cross over point that coding or picture and text cover is also random, to greatly increase forgery difficulty,
It effectively prevent the anti-fake data after being stolen for faking, and simple for process, it is easy to implement to promote.
Description of the drawings
Fig. 1 is existing using the two-dimension code structure schematic diagram for spreading 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；
Fig. 4 is Quick Response Code centre hollow part enlarged structure schematic diagram in Fig. 2；
Fig. 5 is partial closure's area schematic that hollow part cross over point is formed among Quick Response Code in Fig. 2.
Specific implementation mode
The invention will be further described with reference to the accompanying drawings and examples.
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 are referred to, Quick Response Code is printed on stock 2, the random grain structure on stock 2 is fiber 3,
Quick Response Code is covered on fiber 3,3 part overlaid of Quick Response Code and fiber, false-proof texture recognition methods provided by the invention, including such as
Lower step：
Step S1：Select 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：It prints to form code identification or graph-text identification in the Printing Zone, the code identification or graph-text identification
At least partly cover in the random grain structure on the anti false information carrier；
Step S3：Obtain the cross over point or graph-text identification and random grain structure of code identification and random grain structure
Cross over point as anti-counterfeiting characteristic record information.
The present invention can directly use the intrinsic texture structure of natural material as anti false information carrier, as structural texture is clear
The apparent wooden unit of clear, natural spot, stone, plant stem-leaf, shell etc.；Or specially addition can when manufacturing stock
Generate the clearly plastics of the pigment of random structure texture, sundries, irregularly shaped particles or bubble, glass, ceramics or compound
Material, to form clearly pseudomorphism striped.It is general natural since the present invention is not required to directly compare native texture structure
Texture structure or pseudomorphism striped can meet the requirement of the present invention substantially.Preferably, the surface of stock is set in the step S1
There are fiber, the surface that the fiber sticks on stock by adhesive phase to form the anti-counterfeiting information load with random grain structure
Body, using fiber as pseudomorphism striped.
False-proof texture recognition methods provided by the invention, the number of pre-recorded storage cross over point, when anti-counterfeit recognition first
Code identification or graph-text identification are compared, if inconsistent directly feedback expert's conclusion is fake products；If coding mark
Know or graph-text identification comparison is consistent, then whether the number for continuing to compare cross over point is consistent, to greatly increase forgery difficulty.
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 friendship in overall printing area
Folded count out may be very more.It handles and compares for the ease of subsequent storage, the step S3 can choose area of partial closure
The number and location information of cross over point carries out record storage in domain；For example Quick Response Code mark zone is chosen as local selection area.
In order to improve identification precision, the present invention can be with the location information of record storage cross over point, when anti-counterfeit recognition simultaneously
Whether the number and location information for comparing cross over point is consistent.
For common Quick Response Code, the present invention can choose the mark zone of Quick Response Code as partial closure region, choose label
Area sideline and random grain structure it is overlapping count out and mark zone in include pseudomorphism striped number carry out record storage and
It is follow-up to compare.The position of the mark zone of Quick Response Code is relatively fixed, and affects forgery difficulty to a certain extent；And Quick Response Code its
It is not generally closed area with respect to white space, including intermediate void region, is compiled to other code mark/graph-text identifications,
Also there is the above problem.In order to solve this problem, the present invention can be in the opposite white space of code identification/graph-text identification
It inside at least chooses three cross over point and carries out record storage；When anti-fake comparison, the cross over point of selection is sequentially connected, arteface shape
At a partial closure region, then can compare partial closure region sideline and random grain structure is formed by virtual friendship
Whether the number of folded point is consistent；And it can decide whether to continue to compare the pseudomorphism fringe number for including in partial closure region as needed
Mesh.
False-proof texture recognition methods provided by the invention, code identification or graph-text identification can be with together with anti-counterfeiting characteristic thereon
Easily unify storage, recognizes respectively, it is simple for process, it is easy to implement to promote.With printing technology and computer picture recognition essence
Ratio may finally be identified in strict accordance with following sequence in the continuous improvement of degree, false-proof texture recognition methods provided by the invention
It is right：
1) code identification/graph-text identification photo for obtaining scene photo in kind and prestoring；2) code identification/figure is compared first
Text identifies whether identical；3) then compare code identification/graph-text identification and the cross over point of random grain structure number whether phase
Together, whether the position of each cross over point is corresponding；4) corresponding cross over point construction polygon, and relatively more virtual overlapping points are chosen again
Whether the random grain number that mesh and polygon include is identical.The case where for n cross over point, n are integer, n>3, it can
To construct n shape, the sides n-2 shape in shape, n-1 respectively successively, until quadrangle and triangle；And one by one more each polygon and
Whether the random grain number that random grain structure is formed by the number of virtual cross over point and polygon includes is identical.This
Outside, the present invention can also further compare respective virtual cross over point position it is whether identical.
In practical application, meeting anti-fake the case where requiring, in order to improve the accuracy of identification, is lowering identification difficulty, prevent
It only judges by accident, the present invention can carry out comprehensive descision with flexible combination using some of which condition.It is used below with existing smart mobile phone
For, provide a specific embodiment.The present invention prestores code identification or graph-text identification photo, when anti-counterfeit recognition, obtains
Scene photograph in kind, is first compared code identification or graph-text identification, if inconsistent direct feedback expert's conclusion is false
Emit product；If code identification or graph-text identification compare unanimously, continue the number for comparing the cross over point in scene photograph in kind
Whether it is consistent with prestored information with location information, if the number and location information of cross over point is consistent completely, can directly sentences
It is true to break, and can also make further follow-up judgement.
If the part cross over point in scene photograph in kind is unintelligible, lead to overlapping count out less than prestored information；Or
The number of cross over point is less than pre-set threshold value.At this point, if the location information of the part cross over point is consistent with prestored information, in order to
It prevents from judging by accident, further follow-up judgement can be made.Then it will be overlapped accordingly on photo and scene photograph in kind prestoring respectively
Point is sequentially connected to form partial closure region, and compares partial closure region sideline and random grain structure is formed by virtual friendship
Whether the number of folded point is consistent, if unanimously, still can determine that be true, to further increase identification precision；If inconsistent anti-
Feedback expert's conclusion is fake products.
For using the stock of pseudomorphism striped；If the number of virtual cross over point is consistent, but virtual cross over point
Number is less than pre-set threshold value, then whether can also continue to compare the pseudomorphism striped number for including in partial closure region consistent, if
Inconsistent feedback expert's conclusion is fake products.As shown in Figure 4 and Figure 5, the cross over point that Quick Response Code and fiber pseudomorphism are formed has four
It is a, respectively cross over point A, cross over point B, cross over point C and cross over point D, four cross over point constitute quadrangle again with fiber pseudomorphism
Three virtual cross over point are formed, respectively virtual cross over point A ', virtual cross over point B ' and virtual cross over point C ' include in quadrangle
Pseudomorphism striped number be one.
False-proof texture recognition methods provided by the invention, by obtaining random grain structure and code identification/graph-text identification
Cross over point as anti-counterfeiting characteristic record information, be not only able to reduce the requirement to random grain text structure, and significantly
The complexity for simplifying follow-up identifying processing, greatly improves identification precision.It is randomly generated due to texture structure, coding or picture and text
The cross over point of covering is also random, to increase forgery difficulty.Multiple cross over point are sequentially connected composition closing by the present embodiment
Polygon then looks for the number progress anti-counterfeit recognition that closed polygon is formed by virtual cross over point with texture structure, significantly
Identification difficulty is reduced, has the advantages that identification speed is fast, with high accuracy.The present invention is difficult to caused by not only solving non-close region
The problem of identification, and the processing mode being combined using true cross over point and virtual cross over point, have the characteristics that be difficult to forge.
In addition, what partial closure region was not present virtually still, position is also to be randomly generated according to different coding, and its shape
Shape is determined according to the number of true cross over point again, equally has randomness.The comprehensive superposition of above-mentioned multiple enchancement factor, in addition
The processing mode that actual situation combines, last recombinant virtually overlap the pseudomorphism striped number for including in drawn game portion closed area of counting out
Judged；Theoretically there is infinite number of possible combination, to greatly increase forgery difficulty, effectively prevent anti-after being stolen
Pseudo- data are 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 (9)
1. a kind of false-proof texture recognition methods, which is characterized in that include the following steps：A) it selects with random grain structure
Printing Zone of the anti false information carrier as code identification/graph-text identification on stock；B) it prints to form coding in the Printing Zone
Mark/graph-text identification, the code identification/graph-text identification at least partly cover in the random grain on the anti false information carrier
Structure；C) cross over point of code identification/graph-text identification and random grain structure is obtained as anti-counterfeiting characteristic record information；
Wherein, the step c) at least chooses three cross over point in the opposite white space of code identification/graph-text identification and carries out
Record storage；When anti-fake comparison, the cross over point of selection is sequentially connected to form partial closure region, and compares partial closure region
Whether sideline and the number for being formed by virtual cross over point of random grain structure are consistent；The random grain structure is that production is held
The pseudomorphism striped that addition irregularly shaped particles are formed when printing object；The step c) also compares partial closure in anti-fake comparison
Whether the pseudomorphism striped number for including in region is consistent.
2. false-proof texture recognition methods as described in claim 1, which is characterized in that the surface of stock is set in the step a)
There are fiber, the surface that the fiber sticks on stock by adhesive phase to form the anti-counterfeiting information load with random grain structure
Body.
3. false-proof texture recognition methods as described in claim 1, which is characterized in that step c) the record storage cross over point
Number, when anti-counterfeit recognition, are first compared code identification or graph-text identification, if inconsistent direct feedback expert's conclusion is
Fake products；If whether code identification or graph-text identification compare the number for unanimously continuing to compare cross over point consistent.
4. false-proof texture recognition methods as claimed in claim 3, which is characterized in that the step c) chooses partial closure region
The number of the cross over point of sideline and random grain structure carries out record storage and follow-up comparison.
5. false-proof texture recognition methods as described in claim 3 or 4, which is characterized in that the step c) also record storages are handed over
Whether the location information of folded point, the number and location information that when anti-counterfeit recognition compares cross over point simultaneously are consistent.
6. false-proof texture recognition methods as claimed in claim 4, which is characterized in that the random grain structure is production printing
The pseudomorphism striped that irregularly shaped particles are formed is added when object；The step c) chooses the mark zone of Quick Response Code as partial closure
Region, the step c) choose mark zone sideline and random grain structure it is overlapping count out and mark zone in include pseudomorphism
Striped number carries out record storage and follow-up comparison.
7. false-proof texture recognition methods as described in claim 1, which is characterized in that the step c) prestores coding mark
Knowledge/graph-text identification photo when anti-counterfeit recognition, obtains scene photograph in kind, code identification or graph-text identification is compared first,
If inconsistent directly feedback expert's conclusion is fake products；If code identification or graph-text identification compare unanimously, continue to compare
Whether it is consistent with prestored information to the number and location information of the cross over point in scene photograph in kind.
8. false-proof texture recognition methods as claimed in claim 7, which is characterized in that if the part in scene photograph in kind is handed over
The location information of folded point is consistent with prestored information, then respectively prestore on photo and material object scene photograph by corresponding cross over point according to
It is secondary to be connected to form partial closure region, and compare partial closure region sideline and random grain structure is formed by virtual cross over point
Number it is whether consistent, if inconsistent feedback expert's conclusion be fake products.
9. false-proof texture recognition methods as claimed in claim 8, which is characterized in that the random grain structure is production printing
The pseudomorphism striped that irregularly shaped particles are formed is added when object；If the number of virtual cross over point is consistent, and virtual cross over point
Number is less than pre-set threshold value, then whether consistent, if differed if continuing to compare the pseudomorphism striped number for including in partial closure region
It is fake products to cause feedback expert's conclusion.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610890975.5A CN106446866B (en) | 2016-10-12 | 2016-10-12 | A kind of false-proof texture recognition methods |
| PCT/CN2017/087653 WO2018068519A1 (en) | 2016-10-12 | 2017-06-09 | Anti-counterfeiting texture recognition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201610890975.5A CN106446866B (en) | 2016-10-12 | 2016-10-12 | A kind of false-proof texture recognition methods |
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| CN106446866B true CN106446866B (en) | 2018-07-13 |
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| WO (1) | WO2018068519A1 (en) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106446866B (en) * | 2016-10-12 | 2018-07-13 | 无锡新光印标识科技有限公司 | A kind of false-proof texture recognition methods |
| CN108898205A (en) * | 2017-05-09 | 2018-11-27 | 罗伯特·博世有限公司 | The creation of binary graphics coding, authentication method and system |
| CN108875870B (en) * | 2017-05-09 | 2021-09-28 | 罗伯特·博世有限公司 | Method and system for creating and authenticating binary graphic code |
| CN109754261B (en) * | 2017-11-01 | 2024-03-05 | 杭州沃朴物联科技有限公司 | NFC and multi-texture image recognition-based anti-counterfeiting system |
| CN207993025U (en) * | 2018-01-02 | 2018-10-19 | 海南亚元防伪技术研究所（普通合伙） | Hand examines grain anti-counterfeiting print and its special printable fabric |
| CN108985799B (en) * | 2018-07-05 | 2022-05-17 | 任伟峰 | Product fidelity method based on random trace characteristics |
| CN109291674B (en) * | 2018-10-10 | 2020-09-01 | 福州大学 | Non-replicable anti-counterfeit label based on ink-jet printing and preparation method thereof |
| CN109840781A (en) * | 2019-02-18 | 2019-06-04 | 杭州安芯科技有限公司 | The method and system of the anti-fake middle positioning lines in internet based on natural grain |
| CN109919640A (en) * | 2019-04-12 | 2019-06-21 | 海南亚元防伪技术研究所（普通合伙） | Three-dimensional sawtooth anti-fake product |
| 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 |
| CN115221998A (en) * | 2021-04-20 | 2022-10-21 | 中钞特种防伪科技有限公司 | Coding element and anti-counterfeiting product |
| CN114663118B (en) * | 2022-05-23 | 2022-09-27 | 武汉朗修科技有限公司 | Anti-counterfeiting method based on laser random combination image |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1349186A (en) * | 2001-11-21 | 2002-05-15 | 孙显林 | Random grain anti-fake method |
| JP4265180B2 (en) * | 2002-09-09 | 2009-05-20 | 富士ゼロックス株式会社 | Paper identification verification device |
| CN2715245Y (en) * | 2003-09-22 | 2005-08-03 | 兆日科技（深圳）有限公司 | Texture password label |
| CN101192356A (en) * | 2006-12-02 | 2008-06-04 | 龚镇章 | Peculiar random grain false-proof method |
| CN201425813Y (en) * | 2008-12-17 | 2010-03-17 | 郑阿奇 | Barcode burying computer data structure texture product |
| CN101789199A (en) * | 2009-01-24 | 2010-07-28 | 郑阿奇 | Anti-counterfeiting products and method for recognizing random texture in information-bried printing materials by mobile phone |
| CN101944305A (en) * | 2009-07-10 | 2011-01-12 | 徐克林 | Anti-counterfeiting method of seal |
| CN103049720A (en) * | 2009-09-27 | 2013-04-17 | 天津黑马行云物联网科技有限公司 | Counterfeit identifying method of texture with encoding structure |
| CN104166845B (en) * | 2009-09-28 | 2015-07-22 | 北京柯斯元科技有限公司 | Random texture anti-counterfeiting method and recognizer |
| CN103700000A (en) * | 2013-11-28 | 2014-04-02 | 海南亚元防伪技术研究所 | Code printing-free type fiber anti-counterfeiting method |
| CN103646333A (en) * | 2013-12-25 | 2014-03-19 | 北京慧眼智行科技有限公司 | Anti-fake detection method, device and system |
| CN106446866B (en) * | 2016-10-12 | 2018-07-13 | 无锡新光印标识科技有限公司 | A kind of false-proof texture recognition methods |
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2016
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| CN106446866A (en) | 2017-02-22 |
| WO2018068519A1 (en) | 2018-04-19 |
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