CN103810603A

CN103810603A - Codeless anti-counterfeiting method

Info

Publication number: CN103810603A
Application number: CN201410017028.6A
Authority: CN
Inventors: 陈明发; 其他发明人请求不公开姓名
Original assignee: HAINAN YAYUAN ANTI-COUNTERFEITING TECHNOLOGY INSTITUTE
Current assignee: HAINAN PATTED SEE NETWORK TECHNOLOGY CO., LTD.
Priority date: 2013-11-28
Filing date: 2014-01-15
Publication date: 2014-05-21
Anticipated expiration: 2034-01-15
Also published as: CN103810603B

Abstract

The invention provides a codeless anti-counterfeiting method. The same plate number is printed on n texture anti-counterfeiting printed matters, a random texture feature file photo is taken for each texture anti-counterfeiting printed matter, and a consumer takes a texture inspection photo of each texture anti-counterfeiting printed matter by a smart phone and transmits the texture inspection photo to a computer recognition system database for comparison and authenticity identification. The influence of code spraying procedures on capacity can be avoided, investment of code spraying equipment and large-sized fiber printing equipment can be omitted, query of the consumer can be facilitated, anti-counterfeiting query rate can be greatly increased, and anti-counterfeiting effects can be greatly improved.

Description

Without code anti-counterfeiting method

Technical field

The present invention relates to texture anti-fake printing and texture anti-fake recognition technology field, particularly about the another kind of broad sense texture anti-fake technology of " structure grain anti-fake method (Granted publication CN1074563C) ".

Background technology

" structure grain anti-fake method (Granted publication CN1074563C) " by inventor's pioneer invention obtained the international monopolies (PCT/CN99/00102) such as Chinese patent, United States Patent (USP) (certificate number US6623041), Russ P (certificate number 2202127), Korean Patent (certificate number 0419436), Vietnam's patent (certificate number 3347).This Patent right requirement 1 is described " a kind of structure grain anti-fake method like this, anti-counterfeiting object is encoded, on each product, print and establish one or more codings that only belong to it, anti false information carrier is set in anti-counterfeiting object, anti-counterfeiting information on selected carrier, this anti-counterfeiting information is stored into together in conjunction with coding in the computer recognition system database of access telephone network or Internet, transfer this anti-counterfeiting information for consumer and verify the true and false, characterized by further comprising following steps: a. selects has some materials of random structure texture clearly, as anti false information carrier, b. the random structure texture image on selected carrier, as anti-counterfeiting information ".

This patent " by false proof ancient tiger-shaped tally issued to generals as imperial authorization for loop movement in ancient China principle and modern communications technology, the grafting of computer technology phase ", start false proof frontier, within continuous 12 years, by " false proof the doing in the whole nation " and Chinese false proof employer's organization, the national level evaluation evaluation meeting of tissue is chosen as the anti-counterfeiting technology product of " world is pioneering, leading in the world, extremely identification, permanently effective is forged, is easy to difficulty ".This patent has also obtained the 14 Chinese patent excellent prize.In " the 8th invention start an undertaking prize personage encourage selecting activity " that therefore the inventor also holds in invention association of China, obtain " special award " and " contemporary inventor " title.

Through the popularization of more than ten years, nowadays it became the main flow anti-counterfeiting technology product on domestic false proof market.

In order to realize false proof and packaging integrated production, the inventor at all costs, tirelessly, in the time more than a year, successively research and develop " the protruding seal system of local large scale fiber and printed article (publication number CN103042814A) thereof ", " large scale fiber print system (notification number CN202878879U) ", " local large scale fiber silkscreen system and printed article thereof (notification number CN203317851U) ", " the protruding seal system of local large scale fiber and printed article (notification number CN203317850U) thereof ", " local large scale fiber print system and printed article thereof (notification number CN203317852U) ", " large scale fiber print system (publication number CN102909939A) ", " large scale fiber print system and printed article thereof (publication number CN103057249A) ", " local large scale fiber silkscreen system and printed article thereof (publication number CN103042815A) ", nine patents such as " local large scale fiber print system and printed article thereof (publication number CN103042816A) " and printing equipment thereof.

The common trait of these nine patented technologies is: on printable fabric, be at least printed with a local fiber China ink piece, wherein fiber is long rectangular of 0.6-3.5mm or thin slice that particle diameter is 0.6-1.8mm; The corresponding mark of the random distribution characteristic information sequence number of fiber, record are stored in access telephone network or/and in the computing machine Antiforge inquiry system database of internet.

" anti-fake product that contains self-authentication information and application process thereof (Granted publication CN1262976) ", the technology that one gets around " structure grain anti-fake method (Granted publication CN1074563C) " interest field is disclosed, but it needs consumer to be equipped with special identification instrument to verify the true and false, this obvious inconvenient consumer's examination.It also declares " the very big dependence of the existing network anti-counterfeit technology generally adopting to anti-counterfeiting information network can also be thoroughly broken away from invention, can just can not carry out self-anti-counterfeit recognition by means of outside complicated Antiforge system " in the paragraph of " instructions " " useful technique effect ".This patent is because needs are set up " self-authentication block of information " such as Quick Response Codes, and therefore, identified areas area cannot dwindle, and facts have proved, its identified areas area must be greater than 12cm ²(3cm × 4cm).

Research is found, existing patent,, there is in practice such production technology bottleneck: in the time having the coding (also claiming sequence number) of uniqueness to one of each printed matter spray printing, the print production speed of printed matter has been subject to the great restriction of coding speed.For example, produce 500g salt (texture anti-fake) soft packaging bag, need to buy the ink jet numbering machine of a 630mm fabric width, its investment at least needs 7,000,000 yuan, its maximum coding speed is but lower than 70 ms/min, but the normal speed of production of existing press printing 500g salt (texture anti-fake) soft packaging bag is 180 ms/min.As can be seen here, for " coding (being sequence number) " required in the existing patent of spray printing " structure grain anti-fake method (CN99801139.8) ", for " sequence number (i.e. coding) " required in the existing patent of spray printing " the protruding seal system of local large scale fiber and printed article (CN201310029223.6) thereof ", some large-scale production must be sacrificed 62%(1-70/180) above production capacity.

Research is also found, existing patent, or, need consumer to be equipped with instrumentation or download special anti-counterfeiting identification APP client and bring in and distinguish true from false, inconvenient consumer's identification.

Research is also found, existing patent, or, need consumer's visual inspection to judge the feature such as shape, position, direction, color, quantity of texture (as fiber or glitter powder particle), to carry out manpower comparing pair with the file photo in database; , random grain feature with the naked eye need to be identified, its random grain characteristic information is inputted to false proof database check the true and false.Therefore, random grain must be the clear and legible large scale textures of naked eyes, and its corresponding coordinate grid must be also the clear and legible large scale of naked eyes, must cause like this anti-counterfeiting mark region area very large.In practice, find that the fibre diameter that forms texture must be greater than 0.1mm, fibre length must be greater than 1.2mm, only in this way just clear identification of naked eyes.But this large scale fiber pattern (0.1mm × 1.2mm) can cause many technical barriers in existing print production technique, such as: 1, anti-counterfeiting mark region area must enough (facts have proved and must be greater than 12cm greatly ²), so just easily cause a lot of printed matters there is no enough very little commodity of spatial placement anti-counterfeiting mark, especially volume, do not have enough places to settle the texture anti-fake mark of large-size at all; 2, the large scale fiber that forms texture can not directly print with existing printing machine and technique; So, just cause the applicant to have to expend huge fund and research and develop special printing equipment, such as " the protruding seal system of local large scale fiber and printed article (publication number CN103042814A) thereof ", it is exactly the special large scale fiber printing equipment of more than 1,000 ten thousand yuan of research and development of the applicant's cost, for printing house, must expend fund and buy this specialized equipment.

In sum, existing texture anti-fake Technical Board is limited to has code false proof, the coding such as sequence number that they have uniqueness must to one of each texture anti-fake printed matter spray printing (this is pretty troublesome and cost is very high).When consumer's true-false inquiring, or, need to transfer textural characteristics information toward database input coding (this is also pretty troublesome); , need manually to input random grain characteristic information (this more bothers) toward database and check the true and false; , consumer must download after (this hell to pay) special anti-counterfeiting identification APP client in advance, and the ability scan image check true and false is very inconvenient, pretty troublesome.

Summary of the invention

Object of the present invention: provide a kind of without code anti-counterfeiting method, to avoid impact, saving code-spraying equipment investment, the saving large scale fiber printing equipment of coding operation on large-scale production production capacity to invest, dwindle identified areas area, reduce production costs, greatly facilitate consumer to inquire about, reduce various production and use trouble, raising Antiforge inquiry rate, enhancing antifalse effect.

The present invention is as follows without the technical scheme of code anti-counterfeiting method.

Without code anti-counterfeiting method, comprise texture anti-fake printed matter (6), random grain (2) characteristic information on this texture anti-fake printed matter (6), be stored in computer recognition system (8) database (9) on internet (7), it is characterized in that comprising the following steps:

1. when print production, the texture anti-fake printed matter (6) of (originally can) same forme (printing) is split into x the version forme that number (1) is different goes a point version to print, the forme of each version number (1) only prints n texture anti-fake printed matter (6), wherein n >=2, x >=2; The those skilled in the art that are familiar with typography know, should go printing with same forme in order to save printed matter that plate-making cost, content are identical, in order to print different versions number (1), have just designed the technical scheme that point version is printed here;

Take respectively at least one random grain (2) file photo (3) 2. to again n the texture anti-fake printed matter (6) of same version number (1), in computer recognition system (8) database (9) that its same version number (1) of whole file photos (3) of clapping corresponding (in other words ' combination '), storage are put on record on internet (7); For example the file photo of clapping (3) raw information is stored into take its version number (1) in the file of folder name;

3. while discerning the false from the genuine, (consumer) with smart mobile phone (10) facing to texture anti-fake printed matter (6) take one comprise version number (1) random grain (2) censorship photo (4), and by this censorship photo (4) by the existing note of smart mobile phone (10) or multimedia message or micro-letter or credulity or the existing communication tool such as QQ or APP, be sent in computer recognition system (8) database (9) on internet (7); The benefit of doing is like this consumer without downloading in advance the special identification instruments such as anti-counterfeit recognition APP client, can facilitate consumer to distinguish true from false, and can greatly improve Antiforge inquiry rate, can greatly improve antifalse effect;

4. computer recognition system (8) is through comparison {can by the random grain (2) on this censorship photo (4), with database (9) in random grain (2) on whole file photos (3) of same version number (1) compare respectively }if, find random grain (2) on this censorship photo (4), conform to the random grain (2) on a certain the file photo (3) of same version number (1), feedback differentiates that information that conclusion is genuine piece is to consumer's smart mobile phone (10); If find random grain (2) on this censorship photo (4), do not conform to the random grain (2) on any file photo (3) of same version number (1), feedback differentiates that conclusion is that the information of personation is to consumer's smart mobile phone (10); Exactly because file photo (3) does not have with it the codings such as the sequence number of uniqueness one to one here, so just need to compare one by one;

5. reduce the quantity n of same version number (1) interior texture anti-fake printed matter (6) as far as possible, or strengthen the quantity w of the interior random grain in tag slot (13) (2) as far as possible, or strengthen density and the quantity g of positioning lattice (5) as far as possible, or take to reduce the aggregate measures that n strengthens w and strengthens g, with increase random grain (2) complicacy, guarantee in whole file photos (3) of same version number (1), occur probability≤0.1 ‰ or 0.01 ‰ or 0.001 ‰ of two identical random grains (2) feature.Also this probability is more low better, but also should not be too low.In other words, this technical characterictic is: allow to be less than ten thousand/ identical random grain (2) exist, do not require that the n of same version number (1) opens in file photo (3), random grain (2) has unduplicated unique individual character.So, if it is the photo of genuine piece that consumer sends censorship photo (4), in database (9), the n of same version number (1) opens in file photo (3) and must find the identical photo of random grain (2) feature, if it is the photo of fake products that consumer sends censorship photo (4), in database (9) n of same version number (1) open in file photo (3), can find the probability of the identical photo of random grain (2) feature inevitable lower than ten thousand/.Studies show that: this low probability erroneous judgement, fake producer cannot be used for faking, and user also can accept.

Undeniable, by the random grain (2) on censorship photo (4) when thering is random grain (2) on whole (n opens) file photo (3) of same version number (1) and compare one by one, need to expend a large amount of computational resources, need a large amount of servers to share task, calculate simultaneously, to improve recognition speed, if but can facilitate consumer (user) as long as inquiry can improve (user) Antiforge inquiry rate, raising (user) antifalse effect, this investment of false proof service provider is worth.

Preferably n >=1000; Or 1000000 >=n >=1000; Or 100000 >=n >=1000.Here, why selecting n >=1000, is that the expense that the too low copy fee of printing is shared on each texture anti-fake printed matter (6) will be very high because forme the most cheap of system, at least print 1000 printings and be only economically.Only have n >=1000 o'clock to be only economical by the more number of plate change of plate change method (1).Here, why select n≤100000, because in the time that texture anti-fake printed matter (6) the quantity n of same edition number (1) is excessive, can expend on the one hand a large amount of computational resources, reduce computer recognition system (8) identification comparison speed (for example, while testing n=100000 consumer waits for that recognition result takes 5 seconds, and when experiment n=1000000, consumer waits for that recognition result takes 20 seconds); Can increase on the other hand random grain (2) on fake products censorship photo (4) probability identical or approximate with random grain (2) on file photo (3), can make antifalse effect reduce, even make false proof inefficacy.

Studies show that: when enforcement, should reduce as far as possible same version number (1) interior texture anti-fake printed matter (6) quantity n, strengthen the quantity w of the interior random grain in tag slot (13) (2) as far as possible, strengthen density and the quantity g of positioning lattice (5) as far as possible, or take to reduce n and strengthen w and strengthen the aggregate measures such as g, open in file photo (3) to increase the complicacy of line random grain (2), whole n of guaranteeing same version number (1), occur probability≤0.1 ‰ or 0.01 ‰ or 0.001 ‰ of two identical random grains (2) feature.

Theoretically, even in whole file photos (3) of same version number (1), occur probability≤0.1 ‰ of two identical random grains (2) feature, still likely there are this individual cases: a certain the censorship photo (4) of fake products is by chance identical or approximate with the random grain (2) on a certain file photo (3), can be mistaken for genuine piece by computer recognition system (8) software.Studies show that, the probability that occurs this situation as long as lower than ten thousand/, user can accept this low probability erroneous judgement on the one hand, on the other hand, do not have yet fake producer can be so at all costs, lose more than gain and go to fake, faking is after all also the one behavior of pursuing profits, and profitless they also just can not go to have faked.In other words, if the probability that occurs this situation lower than ten thousand/, false proof is exactly effective.

For making up above-mentioned deficiency, preferably, computer recognition system (8) sends to a certain file photo (3) identical or the most similar random grain (2) on consumer's smart mobile phone (10) again, carefully the random grain (2) on texture anti-fake printed matter (6) and this file photo (3) are compared by consumer oneself, further to discern the false from the genuine.

More preferably, in described version number (1), comprise trade name code section, grid quantity g code section, grid size code section etc.Like this, when computer recognition system (8) database (9) is during as public database, just can distinguish product category, just can be thousands of kinds of commodity public Antiforge inquiry service is provided.

For the ease of the random grain (2) on the quick matching identification photo of computer recognition system (8) software, the random grain (2) on described texture anti-fake printed matter (6) is upper, is also printed with positioning lattice (5), and quantity g >=100 of positioning lattice (5) are better.Positioning lattice (5) described here is a kind of coordinate object of reference in essence, in order to determine the particular location data of each random grain (2).Certainly, for fear of positioning lattice (5), the vision of random grain (2) is disturbed, can not print positioning lattice (5) solid line so that random grain (2) seems clear clean and tidy, and only around described tag slot (13) or its, print high scale scale (14), the essential of this graduated scale (14) is actual identical with positioning lattice (5).Identification computer-chronograph recognition system (8) software can be according to the scale mark on graduated scale (14), generating virtual positioning lattice (5) line, and then determines coordinate position data and the feature code group of whole random grains (2), thereby identifies fast.Certainly, graduated scale (14) also can doublely do the frame line of tag slot (13).

In order to identify fast random grain (2) feature, random grain (2) feature on described each file photo (3), take positioning lattice (5) for reference (coordinate) thing, convert in feature code group and computer recognition system (8) database (9) of its file photo (3) corresponding stored on internet (7).So, after consumer sends captured censorship photo (4) with smart mobile phone (10), computer recognition system (8) just can be according to same standard and method, first random grain (2) Feature Conversion on censorship photo (4) is become to feature code group, and then search feature code group and whether exist, preliminary and distinguish true from false rapidly.Certainly, as have a question, can be more corresponding (the most similar one) file photo (3) be sent to consumer, by the comparison that becomes more meticulous of the own naked eyes of consumer, make final identification.

Because the present invention has removed the sequence number with uniqueness from, therefore, while distinguishing true from false, can not as background technology, recall photo file according to codings such as sequence numbers and compare one to one, can only compare with each photo file one by one.This just requires the repetition of trying not of random grain (2) feature on whole file photos (3) of same version number (1) in database (9).Studies show that: the censorship photo (4) that arbitrarily sends a fake products, random grain (2) feature on random grain (2) feature and file photo (3) on it, identical or approximate probability must be controlled at ten thousand/and following, this probability data can be masquerading as rate by called after, this is masquerading as rate is very crucial technical parameter, it is the anti-counterfeiting technology parameter achievement that the inventor has just just drawn through the research of more than 20 years, concerning whether effectively key problem in technology of the present invention, in application practice, can't allow thisly be masquerading as rate and be greater than ten thousand/.

In other words, whether the present invention can be effectively false proof, be also decided by upper random grain (2) feature of fake products censorship photo (4), whether be less than ten thousand with the probability of upper random grain (2) feature of file photo (3) identical (or being similar to)/.If be also that the present invention will bring into play antifalse effect, in whole file photos (3) of same version number (1), occur that the probability of two identical random grains (2) feature is necessary≤0.1 ‰, be masquerading as rate≤0.1 ‰.On the contrary, in whole file photos (3) of same version number (1), occur that the probability (being masquerading as rate) of two identical random grains (2) feature, if be less than one of per mille or percentage, does not only have antifalse effect, but also can mix the spurious with the genuine, cause huge trouble to user.

Explain these anti-counterfeiting technology parameters with mathematical formulae below, in the time that random grain (2) is monochrome, the quantity n of described positioning lattice (5) quantity g and same version number (1) interior texture anti-fake printed matter (6), the relation between the two must be 2 ^g/ 10000>=n.

In the time that random grain (2) is s kind color, the relation between the quantity g of described positioning lattice (5) and quantity n and random grain (2) the number of colors s of same version number (1) interior texture anti-fake printed matter (6) must be (s+1) ^g/ 10000>=n.In other words, for fear of the at will counterfeit texture anti-fake printed matter of printing (6) of fake producer, can in n texture anti-fake printed matter (6) photo, find identical or approximate file photo (3), should amplify the quantity g of lattice as far as possible and dwindle the quantity n of the texture anti-fake printed matter (6) of same version number (1) as far as possible, the probability of this coincidence (being masquerading as rate) being controlled to ten thousand/below, even 100,000/below, more even 1,000,000/following.

Studies show that: when random grain (2) quantity w in positioning lattice (5) is too little or when too large, fake products censorship photo (4) probability (be masquerading as rate) identical or approximate with file photo (3) also can exceed ten thousand/.Therefore, when enforcement, also should guarantee that the interior random grain of positioning lattice (5) (2) quantity w is controlled at suitable scope: 0.8g >=w >=0.2g, on average can be taken as 2w=g.

Research also shows: in the time that random grain (2) is monochrome or when censorship photo (4) is black and white (comprising the color picture of color distortion) photo, random grain (2) quantity w>=7 in the upper tag slot (13) of texture anti-fake printed matter (6) are best, and the pass of w and same version number (1) interior texture anti-fake printed matter (6) quantity n is 2 ^2wwhen/10000>=n, fake products censorship photo (4) probability (be masquerading as rate) identical or approximate with file photo (3) just can not exceed ten thousand/.In the time that random grain (2) is polychrome, random grain (2) quantity w>=7 in the upper tag slot (13) of texture anti-fake printed matter (6), and the pass of random grain (2) quantity w and number of colors s and same version number (1) interior texture anti-fake printed matter (6) quantity n is (s+1) ^2wwhen/10000>=n, fake products censorship photo (4) probability (be masquerading as rate) identical or approximate with file photo (3) just can not exceed ten thousand/.In other words the anti-counterfeiting design that, meets this formula is only effectively anti-counterfeiting design scheme reliably.Meet the anti-counterfeiting design of this formula, its tag slot just can be very little, and same version number (1) interior texture anti-fake printed matter (6) quantity n just can be little, and inquiry recognition speed just can be fast, and antifalse effect just can be got well.

Can identify fast censorship photo (4) for the ease of computer recognition system (8) software, on random grain (2) on described texture anti-fake printed matter (6) or around it, also be printed with azimuth mark (12), in order to judge the orientation such as up and down of censorship photo (4) and the border of tag slot (13).This azimuth mark (12) can be that any software that can supply accurately be identified censorship photo (4) mark or symbol or line segment or figure etc. up and down.

In sum, the present invention, without code anti-counterfeiting method, comprise following multinomial combination arbitrarily, but it at least should comprise one of following feature:

1. described tag slot (13) are also printed with azimuth mark (12) or/and positioning lattice (5);

2. positioning lattice (5) quantity g and same version number (1) interior texture anti-fake printed matter (6) quantity n, the pass between the two is 2 ^g/ 10000>=n;

3. quantity n and random grain (2) the number of colors s of positioning lattice (5) quantity g and same version number (1) interior texture anti-fake printed matter (6), the pass between three is (s+1) ^g/ 10000>=n;

4. the pass between the quantity g of described positioning lattice (5) and the quantity w of the interior random grain of positioning lattice (5) (2) is 0.8g >=w >=0.2g;

5. described tag slot (13) or its are printed with graduated scale (14) around;

6. random grain (2) feature on described file photo (3), take positioning lattice (5) as object of reference, convert in feature code group and computer recognition system (8) database (9) of its file photo (3) corresponding stored on internet (7);

7. random grain (2) quantity w>=7(mean value in described tag slot (13)), and random grain (2) quantity w, number of colors s and same version number (1) interior texture anti-fake printed matter (6) quantity n, the pass between three is 2≤n≤(s+1) ^2w/ 10000; Also be that n is less than or equal to (s+1) ^2wten thousand/; For accurate identification, in actual computation application, censorship photo (4) affected by environment, that consumer takes always varies, even if s is more for texture color quantity, computer recognition system (8) software preferably will colored censorship photo (4) be converted into black-and-white photograph and identifies, so, number of colors s just should be considered as 1, preferably random grain (2) color is considered as to monochrome and identifies; In other words, the relation between three is preferably n≤(1+1) ^2w/ 10000;

8. computer recognition system (8) sends to a certain file photo (3) identical or the most similar random grain (2) on consumer's smart mobile phone (10), carefully the random grain (2) on texture anti-fake printed matter (6) and this file photo (3) are compared by consumer oneself, further to discern the false from the genuine;

9. reduce the quantity n of same version number (1) interior texture anti-fake printed matter (6) as far as possible, or strengthen the quantity w of the interior random grain in tag slot (13) (2) as far as possible, or strengthen density and the quantity g of positioning lattice (5) as far as possible, or take to reduce n and strengthen w and strengthen the aggregate measures such as g, with increase random grain (2) complicacy, guarantee in whole file photos (3) of same version number (1), occur the probability (being masquerading as rate)≤0.1 ‰ or 0.01 ‰ or 0.001 ‰ of two identical random grains (2) feature.

Version of the present invention number (1) has important difference with " coding " and " sequence number " described in background technology.The feature of version number (1) is that n (thousands of) texture anti-fake printed matter (6) has same version number (1), can make a plate to print by tradition.The feature of " coding " described in background technology and " sequence number " is that n (thousands of) texture anti-fake printed matter (6) has a unique one's own special number separately, can not make a plate to print by tradition, can only carry out spray printing with ink jet numbering machine.The mode of printing of the two, printing equipment, print speed printing speed, printing purposes, printing cost are completely different.

Version of the present invention number (1) can be arabic numeral, can be also the discernible information of human eye such as letter, word, can also be bar code, two-dimensional bar code and the self-defining any picture and text that represent uniqueness etc.In version number (1), can comprise the information such as commercial product code code section, mark specification code section.In practical application, preferably 100,000 texture anti-fake printed matters of every seal (6) are changed a version number (1) with succession.

Coding or sequence number etc. that coding general reference digital printing equipment of the present invention, digital printing device, jet-printing equipment, Laser Jet equipment print off.

The general reference of taking pictures of the present invention is taken a picture and shooting, and censorship photo of the present invention (4) comprises photo and video.

Texture anti-fake printed matter of the present invention (6) is made a general reference the printed ticket of various typographies, books and periodicals, packing material, label, card, drop, commodity appearance etc.

Random grain of the present invention (2) can be both defined random structure texture in one of background technology " structure grain anti-fake method (Granted publication CN1074563C) "; Also can be the random characters such as the random picture and text that ink forms, the random wrinkle (crackle) that for example wrinkle (crackle) ink forms, the random frost flower that frost flower ink forms; Can also be printed local fibrage or glitter powder layer in two " the protruding seal system of local large scale fiber and printed articles (publication number CN103042814A) thereof " of background technology; Can also be the gold stamping lines of the random variable color described in " utilizing bronzing machine error to impel the Internet of Things anti-counterfeiting gilding mark (Granted publication CN102610163B) of mark variable color ".Generally speaking, random grain of the present invention (2) be a kind of broad sense there is visuality, relatively uniqueness, the individualized security feature that is difficult to copy.

Random grain of the present invention (2) quantity w, refers to fiber number, chip number, bubble number, glitter powder grain number, wrinkle or crackle section (bar) number etc. that form random grain (2).

Positioning lattice of the present invention (5) quantity g is the quantity of random grain (2) feature detection point in essence, when computer recognition system (8) is compared whole file photos (3) of same version number (1) in censorship photo (4) and database (9) respectively, only need g check point of selective examination comparison, and without all positions of full inspection.In other words, " positioning lattice (5) " are here random grain feature detection point.Computer recognition system (8) only need be gone up g check point on censorship photo (4) and file photo (3) g of same position and put and compare, and just can draw the conclusion whether textural characteristics conforms to.

The file photo (3) of storage in institute's database of the present invention (9), general reference records the data file of random grain (2) characteristic information on texture anti-fake printed matter (6), can not mechanically be interpreted as traditional visual photo.

Compared with prior art, the present invention can produce following beneficial effect.

One, than background technology " structure grain anti-fake method (Granted publication CN1074563C) ", the invention provides another different anti-counterfeiting technology means, proposed innovatively the anti-counterfeiting technology method without " print and establish one or more codings that only belong to it " on each product.Both save the equipment investment of ink jet numbering machine, improved again the production capacity that extensive texture anti-fake product is produced.Production practices statistics shows: the production cost of 500g salt texture anti-fake soft packaging bag reduces by 1～1.5 point of/bag, and false proof cost is more than 50%, and production production capacity is enhanced about more than once.

They are two years old, than background technology " anti-fake product that contains self-authentication information and application process thereof (Granted publication CN1262976) ", the present invention downloads the special identification instruments such as special APP client without consumer's smart mobile phone (10), for example micro-letter of the every smart mobile phone that can take pictures (10) and existing APP(), use existing capability all captured censorship photo (4) can be sent to (by communication tools such as existing note or multimedia message or e-mail or micro-letter or credulity or QQ or APP) in computer recognition system (8) database (9), directly carry out truth identification.The present invention invests code-spraying equipment without the producer, without coding operation.

Three, the present invention is owing to having innovated a point version typography, the forme of each version number (1) only prints n texture anti-fake printed matter (6), and in n the texture anti-fake printed matter (6) of same version number (1), allow to exist to be less than ten thousand/ identical random grain (2), do not require that random grain (2) has unduplicated, complicated unique individual character.So, the quantity w of random grain (2) just can reduce, identify required area and just can dwindle, tag slot (13) even can be as small as 5mm × 5mm, thereby texture anti-fake mark for example can be applied to, on the commodity that volume is small (the little body of radian major diameter).And can reduce equipment investment, reduce production costs.On the other hand, also just not needing to invest specialized equipment " the protruding seal system of local large scale fiber and printed article (publication number CN103042814A) thereof " has printed.

Four, the present invention has innovated the technical characterictic that the censorship of taking pictures, software are distinguish true from false automatically, do not need consumer's naked eyes feature such as shape, position, direction, color, quantity of observe and decide texture (as fiber) in person, do not need the file photo in textural characteristics and database to carry out manpower comparing pair, do not need just random grain feature artificial cognition out, random grain characteristic information (group) input database is checked to the true and false, do not need specialized equipment " the protruding seal system of local large scale fiber and printed article (publication number CN103042814A) thereof ".In other words,, if the inventor has early invented the present invention for 1 year, just do not need to walk so large detour yet, do not needed more than 1,000 ten thousand yuan of above-mentioned special large scale fiber printing equipments of research and development of cost.

Five, the present invention allows in n the texture anti-fake printed matter (6) of same version number (1), existence is less than ten thousand/ identical random grain (2) feature, do not require that random grain (2) feature has unduplicated unique individual character.This is an Important Techmical Progress, it has overcome existing texture anti-fake technology random grain (2) feature that covets and has had the harsh requirement of unduplicated unique individual character, overcome the technology prejudice existing in the industry for a long time, produce beyond thought technique effect, for example, can increase texture anti-fake printed matter (6) the quantity n of same version number (1), thereby reduction copy fee, can dwindle mark area, expand range of application, can remove the coding that spray printing has uniqueness from, save investment and cost, can exempt to use " the protruding seal system of local large scale fiber and printed article (publication number CN103042814A) thereof " specialized equipment etc.

In sum, the useful technique effect that the present invention produces is: 1, printing house produces extremely simple---remove coding operation from, saved code-spraying equipment investment, saved the special printing equipment investment of large scale fiber.2, consumer's inquiry is extremely convenient---and without downloading the special anti-counterfeiting identification facilities such as APP client, use existing note or multimedia message or micro-letter instrument just can check the true and false.Generally speaking, the present invention has avoided the various troubles that existing texture anti-fake technology exists.3, tag slot (13) can be very little, even can be as small as 5mm × 5mm, thereby can be applied on the commodity that volume is small.4, test statistics shows: production cost reduces by 1～1.5 point of/bag, and false proof cost is more than 50%, and Antiforge inquiry rate improves more than 12 times, and false proof validity improves greatly, this result that false proof industry is dreamed of exactly.

Open-minded along with the 4th generation mobile communication technology 4G network, along with the raising of network speed, it is more convenient and practical that the present invention will become, and false proof industry also will be combined closely with packaging industry because of the present invention.

For above-mentioned purpose of the present invention, feature and advantage can be become apparent, integrated optimization embodiment of the present invention cited below particularly, and coordinate accompanying drawing to be elaborated.

Accompanying drawing explanation

Fig. 1 adopts the printed texture anti-fake soft packaging bag structural representation of the present invention.

Fig. 2 is the cross section structure schematic diagram of A-B position in Fig. 1.

Fig. 3 is computer recognition system schematic diagram.

Fig. 4 is that version number is the texture anti-fake soft packaging bag structural representation of bar code.

Fig. 5 is that version number is the texture anti-fake soft packaging bag structural representation of two-dimensional bar code.

Fig. 6 adopts the printed crepe printing ink anti-fake soft packing bag structural representation of the present invention.

Fig. 7 adopts the printed glitter powder anti-fake soft packing bag structural representation that is provided with graduated scale of the present invention.

Fig. 8 adopts the printed bar shaped glitter powder anti-fake soft packing bag structural representation that is provided with graduated scale of the present invention.

Fig. 9 adopts the printed wine box structural representation of the present invention.

Figure 10 adopts printed the containing of the present invention to pay close attention to the wine box structural representation of certain micro-letter public account Quick Response Code.

Drawing reference numeral explanation: 1-version number, 2-random grain, 3-file photo, 4-censorship photo, 5-positioning lattice, 6-texture anti-fake printed matter, 7-internet, 8-computer recognition system, 9-database, 10-smart mobile phone, 11-glitter powder ink coating, 12-azimuth mark, 13-tag slot, 14-graduated scale, 15-pay close attention to the Quick Response Code of certain micro-letter public account.

Embodiment

Embodiment mono-.

As shown in Figure 1, Figure 2, shown in Fig. 3, Fig. 4, Fig. 6, Fig. 7, Fig. 8, select the thick pet film of 35 μ m to print the salt bag of 500g, manufacture the packing materials such as texture anti-fake printed matter (6).

Preparing 9.269kg transparent UV ink, is the golden hexagon glitter powder of 0.6mm, thickness 16 μ m toward adding 0.731kg width in ink, and fully stirring evenly into viscosity is the glitter powder ink of 6000 centipoises, is then poured in black groove.

Adopt " the protruding seal system of local large scale fiber (publication number CN103042814A) " patented technology, toward printing upper positioning lattice (5), version number (1), azimuth mark (12) and glitter powder ink coating (11) on pet film, make the interior stochastic distribution of glitter powder ink coating (11) hexagon glitter powder, form random grain of the present invention (2).

The annual consumption of whole nation salt bag is about 5,000,000,000 bags, these 5,000,000,000 sacks originally can be with version printing, to save copy fee, but, for the quantity n of the texture anti-fake printed matter (6) that makes same version number (1) is unlikely to too large (too conference reduces inquiry recognition speed and can improve the rate of being masquerading as), average preferably 100,000 sacks of every printing should be changed a version number (1) with uniqueness, like this, 5000000000 bags can be divided into 50,000 different versions number (1) altogether, according to production concrete condition, 50000 versions forme that number (1) is different printed texture anti-fake printed matter (6) quantity n separately, can be different, also can be identical.In other words, here n on average equals 100,000.

For the random distribution characteristic photo scanning of glitter powder (forming the particle of random grain) is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures the positioning lattice in each packaging bag (5), version number (1), azimuth mark (12) and glitter powder ink coating (11), again by its whole file photos (3) take its version number (1) as Folder Name, store in computer recognition system (8) database (9), and computer recognition system (8) is accessed to the micro-letter public platform of Antiforge inquiry and mobile communications network.

So, while discerning the false from the genuine, consumer just can open " Antiforge inquiry " micro-letter public account (platform), with the censorship photo (4) of the random grain (2) on smart mobile phone (10) texture anti-fake printed matter of shooting (6) and version number (1), censorship photo (4) is sent in computer recognition system (8) database (9) by micro-letter.

Computer recognition system (8) is again by (being in identical file folder) in the random grain (2) on censorship photo (4) and database (9) with same version number (1) all random grains (2) on file photos (3) compare respectively (in other words comparison one by one), if find that the random grain (2) on a certain the file photo (3) of random grain (2) on censorship photo (4) and same edition number (1) conforms to, feedback differentiates that the information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), if find that the random grain (2) on any file photo (3) of random grain (2) on censorship photo (4) and same edition number (1) does not conform to, feedback differentiates that conclusion is that the information of palming off arrives on consumer's smart mobile phone (10).

Certainly the best way is, while discerning the false from the genuine, consumer also available smart mobile phone (10) takes random grain (2) on a texture anti-fake printed matter (6) and the censorship photo (4) of edition number (1), and censorship photo (4) is sent in computer recognition system (8) database (9) by note or multimedia message or micro-letter or E-mail address or qq.

For ease of the quick matching identification photo of computer recognition system (8) software, avoid consumer to wait for identification result overlong time, on random grain (2) on described texture anti-fake printed matter (6), positioning lattice in necessary printing (5), like this, after consumer sends censorship photo (4), computer recognition system (8) software just can be compared censorship photo (4) according to positioning lattice (5), so, just can improve recognition speed and accuracy rate, shorten consumer's stand-by period.

In order to identify more quickly random grain (2) feature, random grain (2) feature on described file photo (3), can be take positioning lattice (5) as object of reference, convert feature code group to, in computer recognition system (8) database (9) that is stored in internet on (7).So, after consumer sends captured censorship photo (4) with smart mobile phone (10), computer recognition system (8) just can be according to same standard and method, first convert the random grain (2) on censorship photo (4) to feature code group, and then whether comparison feature code exist, preliminary and distinguish true from false rapidly.Certainly, as have a question, can more corresponding file photo (3) be sent to consumer, compared by the own naked eyes of consumer, make final identification.For example: random grain (2) feature in Fig. 1, just be convertible into binary features code-group: 10,010 00,101 10,100 01,001 00010, its transformation rule is: in grid, have random grain (2) feature code 1 to represent, in grid, do not have random grain (2) feature code 0 to represent, from left to right, from top to bottom single-frame arrange.

In the time that file photo (3) is stored as photochrome, occur that the probability of two identical random grains (2) will further reduce.For example: while having black hexagon glitter powder in lattice, represent with feature code 1, during without hexagon glitter powder, represent with feature code 0, when being red, glitter powder represents with feature code 2, when being blue, glitter powder represents with feature code 3, when glitter powder is green, represent with feature code 4, when glitter powder is yellow, represent with feature code 5.So, random grain (2) feature in Fig. 1, is just convertible into feature code group: 10,020 00,103 20,400 05,001 00040.So,, during as s=5, as n=100000, fake products censorship photo (4) probability identical or approximate with file photo (3) will be lower than 100000 ÷ (1+5) ²⁵=284 part per trillion.

Studies show that: in the time that file photo (3) is stored as black-and-white photograph, in order to reduce fake products censorship photo (4) probability identical or approximate with file photo (3) as far as possible, the quantity g of positioning lattice (5) is more preferably greater than 25.Identical or approximate like this probability will be lower than 100000 ÷ 2 ²⁵× 100%=0.298%, just there will not be a fiber ink coating of careless printing (11), the situation that its pattern can find in 100,000 file photos (3), thus can keep the validity and reliability of antifalse effect.

On the contrary, in the time that file photo (3) is stored as black-and-white photograph or when texture is monochromatic, if every 100,000,000 sacks arrange a version number (1), the quantity g of positioning lattice (5) continues to keep 25.Identical or approximate like this probability (being masquerading as rate) is 100000000 ÷ 2 ²⁵× 100%=298%, is also an at will glitter powder ink coating of printing (11) of fake producer, and its pattern can find the situation of 2.98 to occur at 100,000,000 file photos (3), thereby cannot keep the validity and reliability of antifalse effect.In other words, so, the rate of being masquerading as is exactly 298%, just too easily fakes, and just there is no a bit antifalse effect, will what is said in fun is fulfilled in earnest.

As can be seen here, want to obtain good antifalse effect, the less g of n is larger just better.In other words, antifalse effect is inversely proportional to n, is directly proportional to g power, specifically implements to make sure to keep in mind to follow time of the present invention n≤(s+1) ^2w/ 10000 technical requirement.

When application implementation, should reduce texture anti-fake printed matter (6) the quantity n of same version number (1) as far as possible, or strengthen the interior random grain in tag slot (13) (2) quantity w(as far as possible and comprise the way of taking to expand tag slot area), or strengthen density and the quantity g of positioning lattice (5) as far as possible, or take to reduce n and strengthen w and the aggregate measures that strengthen g, to increase the complicacy of random grain (2) feature, guarantee in whole file photos (3) of same version number (1), there are probability≤0.1 ‰ or 0.01 ‰ or 0.001 ‰ of two identical random grains (2) feature.Thereby guarantee antifalse effect, avoid in whole file photos (3) of same version number (1), occur that the probability of two identical random grains (2) feature is too high, and lose due antifalse effect.

Embodiment bis-.

As shown in Figure 6, select the thick pet film of 35 μ m to print the salt bag of 500g, produce and make texture anti-fake printed matter (6).

Prepare some crepe printing inks.

Adopt screen process press toward the crepe printing ink layer that prints upper 10mm × 8mm on pet film, make it to form random grain of the present invention (2)---be the pattern of the random gauffer of ink.Whole nation salt bag annual consumption is 5,000,000,000 bags, these 5,000,000,000 sacks originally can be with version printing, to save copy fee, but, for the quantity n of the texture anti-fake printed matter (6) that makes same version number (1) is unlikely to too large (too conference reduces inquiry recognition speed and can improve the rate of being masquerading as), average preferably 100,000 sacks of every printing should be changed a version number (1) with uniqueness, like this, 5,000,000,000 bags can be divided into 50,000 versions number (1) different forme altogether.

Version number (1) and crepe printing ink floor in each packaging bag are taken pictures with industrial progression code camera, again its whole file photos (3) are named take version number (1) as Folder Name, stored in computer recognition system (8) database (9), and for example, by computer recognition system (8) the access micro-letter public platform of Antiforge inquiry (micro-signal wlfwcx).

So, while discerning the false from the genuine, consumer just can open " Antiforge inquiry " micro-letter public account (for example micro-signal wlfwcx), point is opened " taking pictures " key in " picture " menu, the censorship photo (4) of taking crepe printing ink floor on a texture anti-fake printed matter (6) and version number (1), is sent to censorship photo (4) in computer recognition system (8) database (9) by micro-letter.

Certainly while discerning the false from the genuine, consumer also can with smart mobile phone (10) facing to texture anti-fake printed matter (6) take one section comprise version number (1) crepe printing ink floor censorship video, and by this section of censorship video by the existing note of smart mobile phone (10) or multimedia message or micro-letter or credulity instrument, be sent to computer recognition system (8) database (9) on internet (7).

Computer recognition system (8) first identifies the version number (1) on censorship photo (4) or censorship video, and then with database (9) in there is same version number (1) (being identical file folder) all file photos (3) compare respectively (i.e. comparison one by one), as found, censorship photo (4) or censorship video conform to a certain the file photo (3) of same version number (1), feedback differentiates that the information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, censorship photo (4) or censorship video do not conform to any file photo (3) of same version number (1), feedback differentiates that conclusion is that the information of palming off arrives on consumer's smart mobile phone (10).

Certainly the best way is, while discerning the false from the genuine, consumer also available smart mobile phone (10) takes crepe printing ink floor on texture anti-fake printed matter (6) and censorship photo (4) or the video of version number (1), and censorship photo (4) or video are sent in computer recognition system (8) database (9) by note or multimedia message or micro-letter or E-mail address or visual telephone mode.

The present invention is owing to having adopted the censorship of taking pictures, software automatic comparison to know method for distinguishing, and in this example, the area of tag slot (13) just can be very little, and it is 1/4 of existing naked eyes identification marking minimum area.

Embodiment tri-.

As shown in Figure 5, print the salt bag of 500g with the pet film of 35 μ m, i.e. texture anti-fake printed matter (6).

Preparing 9.269kg transparent UV ink, is the golden hexagon glitter powder (being s=1) of 0.6mm, thickness 16 μ m toward adding 0.731kg width in ink, and the glitter powder ink that fully stirs evenly into viscosity and be 6000 centipoises is for subsequent use.

For the sack that guarantees 100,000 same versions number (1) there will not be two identical random grains (2), capable of regulating glitter powder content, makes random grain (2) quantity (the being glitter powder quantity) w in the upper tag slot (13) of texture anti-fake printed matter (6) on average keep 17.Adopt like this relation formula (s+1) of w and n ^2w/ 10000>=n just can calculate, and in the time of w=17, n just can equal 1717986.In other words, in the time of the quantity w=17 of glitter powder in the upper tag slot (13) of texture anti-fake printed matter (6), same version number (1) can be printed at most 1717986 sacks, the probability that occurs two identical random grains (2) photo in the same version of guarantee number (1) is less than ten thousand/, guarantee be masquerading as rate lower than ten thousand/.

For the random distribution characteristic photo scanning of glitter powder (forming the particle of random grain) is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures the positioning lattice in each packaging bag (5), version number (1), azimuth mark (12) and glitter powder ink coating (11), again by its whole file photos (3) take version number (1) as Folder Name, store in computer recognition system (8) database (9), and for example, by computer recognition system (8) access " Antiforge inquiry " micro-letter public platform (micro-signal wlfwcx) and mobile communications network.

So, while discerning the false from the genuine, consumer just can open " Antiforge inquiry " the micro-letter public account (for example micro-signal wlfwcx) in micro-letter APP, point is opened " taking pictures " key in " picture " menu, the censorship photo (4) of taking random grain (2) on a texture anti-fake printed matter (6) and version number (1), is sent to censorship photo (4) in computer recognition system (8) database (9) by micro-letter.

Computer recognition system (8) first identifies the version number (1) on censorship photo (4), and then with database (9) in there is same version number (1) (being in identical file folder) all random grains (2) on file photos (3) compare respectively (in other words comparison one by one), if find that the random grain (2) on a certain the file photo (3) of random grain (2) on censorship photo (4) and same edition number (1) conforms to, feedback differentiates that micro-letter information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), if find that the random grain (2) on any file photo (3) of random grain (2) on censorship photo (4) and same edition number (1) does not conform to, feedback differentiates that conclusion is that micro-letter information of palming off arrives on consumer's smart mobile phone (10).

The censorship photo (4) of sending due to consumer, can be taken light, shooting angle, shooting distance, take whether rock, the many factors such as shooting level, screening-mode, and not too unified, standard not too, therefore, before computer recognition system (8) identification, can correct business card as existing " the all-round king of business card " cell phone software, censorship photo (4) is corrected, prune out behind the tag slot (13) of unified standard, then identify comparison.

Embodiment tetra-.

As shown in Figure 7, print the salt bag of 500g with the pet film of 35 μ m, i.e. texture anti-fake printed matter (6).

Preparing 9.269kg transparent UV ink, is the golden hexagon glitter powder (being s=1) of 0.2mm, thickness 8 μ m toward adding 0.731kg width in ink, and fully stirring evenly into viscosity is the glitter powder ink of 6000 centipoises.

Adopt existing screen process press, toward printing high scale scale (14), version number (1) bar code and glitter powder ink coating (11) on pet film, make the stochastic distribution in glitter powder ink coating (11) hexagon glitter powder, form random grain of the present invention (2).

For the sack that guarantees 100,000 same versions number (1) there will not be two identical random grains (2), the glitter powder content of capable of regulating ink, makes random grain (2) quantity (the being glitter powder quantity) w in the upper tag slot of texture anti-fake printed matter (6) on average keep 100-200 grain.

For the random distribution characteristic photo scanning of glitter powder is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures the graduated scale in each packaging bag (14), version number (1) bar code and glitter powder ink coating (11), again by its whole file photos (3) take version number (1) as Folder Name, store in computer recognition system (8) database (9), and for example, by computer recognition system (8) access " Antiforge inquiry " micro-letter public platform (micro-signal wlfwcx) and mobile communications network.

So, while discerning the false from the genuine, consumer just can open " Antiforge inquiry " the micro-letter public account (for example micro-signal wlfwcx) in micro-letter APP, point is opened " taking pictures " key in " picture " menu, the censorship photo (4) of taking random grain (2) on a texture anti-fake printed matter (6) and version number (1) bar code, is sent to censorship photo (4) in computer recognition system (8) database (9) by micro-letter.

Computer recognition system (8) first identifies the version number (1) on censorship photo (4), and then with database (9) in there is same version number (1) (being in identical file folder) all random grains (2) on file photos (3) compare respectively (in other words comparison one by one), if find that the random grain (2) on censorship photo (4) conforms to the random grain (2) on a certain file photo (3), feedback differentiates that micro-letter information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), if find that the random grain (2) on censorship photo (4) does not conform to the random grain (2) on any file photo (3), feedback differentiates that conclusion is that micro-letter information of palming off arrives on consumer's smart mobile phone (10).

Embodiment five.

As shown in Figure 8, print sanitary napkin bag, i.e. texture anti-fake printed matter (6) with the pet film of 35 μ m.

Preparing 9.269kg transparent UV ink, is the black bar shaped glitter powder (being s=1) of 0.8mm × 0.1mm, thickness 38 μ m toward adding 0.731kg length and width in ink, and fully stirring evenly into viscosity is the bar shaped glitter powder ink of 6000 centipoises.

Adopt described in background technology and one of invent---" local large scale fiber print system and printed article thereof (publication number CN103042816A) " intaglio printing press, toward printing high scale scale (14), version number (1) bar code and bar shaped glitter powder ink coating (11) on pet film, make the stochastic distribution in bar shaped glitter powder ink coating (11) bar shaped glitter powder, form random grain of the present invention (2).

For the sack that guarantees 100,000 same versions number (1) there will not be two identical random grains (2) feature, the glitter powder content of capable of regulating ink, makes the bar shaped glitter powder quantity w in the upper 20mm × 30mm tag slot (13) of texture anti-fake printed matter (6) on average keep 100-200 bar.

For the random distribution characteristic photo scanning of bar shaped glitter powder is collected, as the file photo of distinguishing true from false (3).Available digital camera is taken pictures the graduated scale in each packaging bag (14), version number (1) bar code and bar shaped glitter powder ink coating (11), again by whole file photos (3) take version number (1) as folder name, store in computer recognition system (8) database (9), by computer recognition system (8) access " 106695888315 " SMS platform.

So, while discerning the false from the genuine, consumer just can open note, from note annex, open camera, the censorship photo (4) of taking random grain (2) feature on a texture anti-fake printed matter (6) and version number (1) bar code, is sent to censorship photo (4) in computer recognition system (8) database (9) by note annex (multimedia message).

Computer recognition system (8) first identifies the version number (1) on censorship photo (4), again with database (9) in there is same version number (1) (being in identical file folder) all random grain (2) features on file photos (3) compare respectively (i.e. comparison one by one), as found, random grain (2) feature on a certain the file photo (3) of random grain (2) feature on censorship photo (4) and same version number (1) conforms to, feedback differentiates that the short message that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, random grain (2) feature on any file photo (3) of random grain (2) feature on censorship photo (4) and same version number (1) does not conform to, feedback differentiates that conclusion is that the short message of palming off arrives on consumer's smart mobile phone (10).

Embodiment six.

As shown in Figure 8, print hot pickled mustard tube bag, i.e. texture anti-fake printed matter (6) with the pet film of 35 μ m.

Adopt " local large scale fiber print system and printed article thereof (publication number CN103042816A) " intaglio printing press, toward printing high scale scale (14), version number (1) bar code and bar shaped glitter powder ink coating (11) on pet film, make the stochastic distribution in bar shaped glitter powder ink coating (11) bar shaped glitter powder, form random grain of the present invention (2).

For the random distribution characteristic photo scanning of glitter powder is collected, as the file photo of distinguishing true from false (3).Available digital camera is taken pictures the graduated scale in each packaging bag (14), version number (1) bar code and bar shaped glitter powder ink coating (11), again by its whole file photos (3) take version number (1) as Folder Name, store in computer recognition system (8) database (9), and give one of computer recognition system (8) application No. QQ, for example QQ00012315.

Like this, while discerning the false from the genuine, consumer just can open QQ, add 00012315 for good friend, from QQ, open camera, the censorship photo (4) of taking random grain (2) feature on a texture anti-fake printed matter (6) and version number (1) bar code, is sent to censorship photo (4) in computer recognition system (8) database (9) by QQ.

Computer recognition system (8) first identifies the version number (1) on censorship photo (4), again with database (9) in there is same version number (1) (being in identical file folder) all random grain (2) features on file photos (3) compare respectively (i.e. comparison one by one), as found, random grain (2) feature on a certain the file photo (3) of random grain (2) feature on censorship photo (4) and same version number (1) conforms to, feedback differentiates that the QQ information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, random grain (2) feature on any file photo (3) of random grain (2) feature on censorship photo (4) and same version number (1) does not conform to, feedback differentiates that conclusion is that the QQ information of palming off arrives on consumer's smart mobile phone (10).

Embodiment seven.

As shown in Figure 8, print the salt bag of 500g with the pet film of 35 μ m, i.e. texture anti-fake printed matter (6).

Preparing 9.269kg transparent UV ink, is the reddish blue bar shaped glitter powder (being s=2) of 0.8mm × 0.1mm, thickness 16 μ m toward adding 0.731kg length and width in ink, and fully stirring evenly into viscosity is the bar shaped glitter powder ink of 4000 centipoises.Bar shaped glitter powder described here also can be called fiber, and it is the element that forms random grain (2).Certainly, random deformation or random distortion or Random-Rotation or the character that misplaced are at random also the elements that forms broad sense random grain (2).

Adopt " the protruding seal system of local large scale fiber (publication number CN103042814A) " patented technology, toward printing high scale scale (14), version number (1) bar code and bar shaped glitter powder ink coating (11) on pet film, make the stochastic distribution in bar shaped glitter powder ink coating (11) bar shaped glitter powder, form random grain of the present invention (2).

For the sack that guarantees 100,000 same versions number (1) there will not be two identical random grains (2) feature, the glitter powder content of capable of regulating ink, makes the bar shaped glitter powder quantity w in the upper 20mm × 30mm tag slot (13) of texture anti-fake printed matter (6) on average keep 100-150 bar.

For the random distribution characteristic photo scanning of glitter powder is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures the graduated scale in each packaging bag (14), version number (1) bar code and bar shaped glitter powder ink coating (11), then by its whole file photos (3) take version number (1) as Folder Name, store in computer recognition system (8) database (9).

Develop a kind of dedicated texture anti-counterfeit recognition APP for consumer's mobile phone-downloaded.

So, while discerning the false from the genuine, consumer just can open texture anti-fake identification APP, therefrom open camera, by random grain (2) feature and version number (1) in the upper tag slot (13) of alignment lens texture anti-fake printed matter (6), texture anti-fake identification APP will focus automatically, automatically by censorship photo (4) or video, be immediately sent in computer recognition system (8) database (9).

Computer recognition system (8) first identifies the version number (1) on censorship photo (4) or video, again with database (9) in there is same version number (1) (being in identical file folder) all random grain (2) features on file photos (3) compare respectively (i.e. comparison one by one), as found, random grain (2) feature on a certain the file photo (3) of random grain (2) feature on censorship photo (4) and same version number (1) conforms to, will feed back and differentiate that the information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, random grain (2) feature on any file photo (3) of random grain (2) feature on censorship photo (4) and same version number (1) does not conform to, will feed back and differentiate that conclusion is that the information of palming off arrives on consumer's smart mobile phone (10).

Embodiment eight.

As shown in Figure 1, print the salt bag of 500g with the pet film of 35 μ m, i.e. texture anti-fake printed matter (6).

Prepare the transparent UV ink of 9.269kg, in ink, add the wide black hexagon glitter powder (being s=1) for 0.3mm × 0.3mm, thickness 16 μ m of 0.731kg, fully stirring evenly into viscosity is the hexagon glitter powder ink of 5000 centipoises.

Adopt described in background technology and one of invent---" local large scale fiber silkscreen system and printed article thereof (publication number CN103042815A) " screen printer, toward printing upper positioning lattice (5), version number (1) and hexagon glitter powder ink coating (11) on pet film, make the stochastic distribution in hexagon glitter powder ink coating (11) hexagon glitter powder, form random grain of the present invention (2).

For the sack that guarantees 100,000 same versions number (1) there will not be two identical random grains (2) feature, the glitter powder content of capable of regulating ink, makes the hexagon glitter powder quantity w in texture anti-fake printed matter (6) tag slot (13) on average keep 17.

For the random distribution characteristic photo scanning of hexagon glitter powder is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures the positioning lattice in each packaging bag (5) and hexagon glitter powder ink coating (11), again the feature code group of its whole file photos (3) is stored in computer recognition system (8) database (9), by computer recognition system (8) access " 106695888315 " SMS platform.

Like this, while discerning the false from the genuine, consumer just can open note, from note annex, open camera, the censorship photo (4) of taking random grain (2) feature on a texture anti-fake printed matter (6), is sent to censorship photo (4) in computer recognition system (8) database (9) by note annex (multimedia message).As shown in Figure 1, censorship photo (4) is sent to by note annex (multimedia message) in computer recognition system (8) database (9) of note Number for access " 106695888315 "+version number (1) " 6908980000001 ", also, censorship photo (4) is sent to note (annex) to SMS platform access branch 1066958883156908980000001.

Computer recognition system (8) first identifies random grain (2) the feature code group on censorship photo (4), again from database (9) in same version number (1), find identical feature code group, as find identical feature code group, feedback differentiates that the short message that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as do not found identical feature code group, feedback differentiates that conclusion is that the short message of palming off arrives on consumer's smart mobile phone (10).

In this example, on failed call file photo (3) and censorship photo (4), must comprise version number (1), this version number (1) way that deliberately do not comprise, when inquiry, just require consumer must manually input version number (1), concerning consumer, many these single steppings are obviously inconvenient, and it is a kind of bad way that becomes, and must belong to the scope that the present invention is contained.

Embodiment nine.

Adopt " the protruding seal system of local large scale fiber (publication number CN103042814A) " patented technology, toward pet film on, print upper positioning lattice (5), azimuth mark (12), product introduction webpage link address Quick Response Code version number (1) and glitter powder ink coating (11), make the interior stochastic distribution of glitter powder ink coating (11) hexagon glitter powder, form random grain of the present invention (2).

For the sack that guarantees 100,000 same versions number (1) there will not be two identical random grains (2), the glitter powder content of capable of regulating ink, makes random grain (2) quantity (the being glitter powder quantity) w in the upper tag slot (13) of texture anti-fake printed matter (6) on average keep 17.So, adopt the relation formula (s+1) of w and n ^2w/ 10000>=n just can calculate, and in the time of w=17, n just can be greater than 1717986.In other words, in the time of the quantity w=17 of glitter powder in the upper tag slot (13) of texture anti-fake printed matter (6), same version number (1) can be printed at most 171.7 ten thousand sacks, and the probability of guarantee two identical random grains of appearance (2) is less than ten thousand/.

Computer recognition system (8) is again by (being in identical file folder) in the random grain (2) on censorship photo (4) and database (9) with same version number (1) all random grains (2) on file photos (3) compare respectively (in other words comparison one by one), if find that the random grain (2) on a certain the file photo (3) of random grain (2) on censorship photo (4) and same edition number (1) conforms to, feedback differentiates that micro-letter information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), if find that the random grain (2) on any file photo (3) of random grain (2) on censorship photo (4) and same edition number (1) does not conform to, feedback differentiates that conclusion is that micro-letter information of palming off arrives on consumer's smart mobile phone (10).

Preferably, consumer can also go up existing Quick Response Code scanning software with own smart mobile phone (10), scan product introduction webpage link address Quick Response Code---version number (1), thereby open chained address, browse product introduction webpage, many product informations such as obtain, for example product video, product description, play etc. with reference to price, integration prize drawing, false proof explanation, survey, product, in Fig. 5, product introduction webpage link address Quick Response Code can scan and try.

More preferably, the Quick Response Code in this example is the chained address that logs in product introduction webpage, is also a point version number (1) for version printing, is one yard of dual-purpose.

Embodiment ten.

As shown in Figure 9, print wine box, i.e. texture anti-fake printed matter (6) with the cardboard of 500g.

Preparing 9.269kg transparent UV ink, is the golden hexagon glitter powder (being s=1) of 0.6mm, thickness 16 μ m toward adding 0.731kg width in ink, and the glitter powder ink for screen printing that fully stirs evenly into viscosity and be 5000 centipoises is for subsequent use.

Adopt " local large scale fiber silkscreen system and printed article thereof (notification number CN203317851U) " patented technology, toward the glitter powder ink coating (11) that prints upper product introduction webpage link address Quick Response Code version number (1) and " wine " word shape on cardboard, make the interior stochastic distribution of " wine " font glitter powder ink coating (11) hexagon glitter powder, form random grain of the present invention (2).

Print altogether 50,000 wine boxes (if the total quantity of printed matter is to so very little, to such an extent as to n is also very little during regardless of version, also just need not divide again version to print, in other words at this moment x also can equal 1), for the wine box that guarantees 50,000 same versions number (1) there will not be two identical " wine " font random grains (2), the glitter powder content of capable of regulating ink, makes the increase in density of glitter powder in " wine " word.Like this, guarantee occur the probability of two identical glitter powder distribution characteristicss " wine " words be less than ten thousand/.

For the random distribution characteristic photo scanning of glitter powder (forming the particle of random grain) in " wine " word is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures glitter powder ink coating (11) in the version number (1) on each wine box and " wine " word, again by its whole file photos (3) take version number (1) as Folder Name, store in computer recognition system (8) database (9), and for example, by computer recognition system (8) access (" 106695888315 ") SMS platform.

Like this, while discerning the false from the genuine, consumer just can open note, from note annex, opens camera, the censorship photo (4) of taking " wine " word, is sent to " wine " word censorship photo (4) in computer recognition system (8) database (9) by note annex (multimedia message).

Computer recognition system (8) is first by the glitter powder distribution characteristics on " wine " word censorship photo (4), compare one by one with (being in identical file folder) whole 50,000 " wine " word file photos (3) in database (9) with same version number (1), as found, " wine " word glitter powder distribution characteristics on a certain the file photo (3) of " wine " word glitter powder distribution characteristics on censorship photo (4) and same version number (1) conforms to, feedback differentiates that the short message that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, " wine " word glitter powder distribution characteristics on any file photo (3) of " wine " word glitter powder distribution characteristics on censorship photo (4) and same version number (1) does not conform to, feedback differentiates that conclusion is that the short message of palming off arrives on consumer's smart mobile phone (10).

Preferably, computer recognition system (8) sends to the chained address of identical or the most similar " wine " word file photo (3) on consumer's smart mobile phone (10), open link, download photo by consumer, in person with " wine " word comparison in kind, with the further other true and false of reflecting.

Preferably, consumer can also go up existing Quick Response Code scanning software with own smart mobile phone (10), scan product introduction webpage link address Quick Response Code---version number (1), thereby open chained address, browse product introduction webpage, many product informations such as obtain, for example product video, product description, play etc. with reference to price, integration prize drawing, false proof explanation, survey, product, in Fig. 9, product introduction webpage link address Quick Response Code can scan and try.

Embodiment 11.

As shown in figure 10, print wine box, i.e. texture anti-fake printed matter (6) with the cardboard of 500g.

Adopt " local large scale fiber silkscreen system and printed article thereof (notification number CN203317851U) " patented technology, toward the glitter powder ink coating (11) of Quick Response Code (15), version number (1) bar code and " wine " word shape that prints the micro-letter of upper concern public account on cardboard, make the interior stochastic distribution of " wine " font glitter powder ink coating (11) hexagon glitter powder, form random grain of the present invention (2).

Print altogether 100,000 wine boxes, every 20,000 wine boxes are changed version number (1) bar code, for guarantee every 20,000 same versions number (1) wine box, there will not be two identical " wine " font random grains (2), the content of glitter powder in capable of regulating ink, makes the increase in density of glitter powder in " wine " word.Like this, the probability that just can guarantee to occur two identical glitter powder distribution characteristicss " wine " word is less than ten thousand/, be even less than 100,000/.

For the random distribution characteristic photo scanning of glitter powder (forming the particle of random grain) in " wine " word is collected, as the file photo of distinguishing true from false (3).Available technical grade digital camera is taken pictures glitter powder ink coating (11) in version number (1) bar code on each wine box and " wine " word, again by its whole file photos (3) take version number (1) as Folder Name, store in computer recognition system (8) database (9), and for example, by computer recognition system (8) access " Antiforge inquiry " micro-letter public platform (micro-signal hnppk365) and mobile communications network.

So, while discerning the false from the genuine, consumer just can first open " sweep and sweep " in micro-letter APP, the Quick Response Code (15) of the micro-letter of the concern public account in scanning Figure 10, after paying close attention to successfully, recycle this micro-letter public account (for example micro-signal hnppk365), point is opened " taking pictures " key in " picture " menu, the censorship photo (4) of taking the interior glitter powder ink coating (11) of " wine " word and version number (1) bar code, is sent to censorship photo (4) in computer recognition system (8) database (9) by micro-letter.

Computer recognition system (8) is first by the glitter powder distribution characteristics on " wine " word censorship photo (4), compare one by one with (being in identical file folder) whole 20,000 " wine " word file photos (3) in database (9) with same version number (1), as found, " wine " word glitter powder distribution characteristics on a certain the file photo (3) of " wine " word glitter powder distribution characteristics on censorship photo (4) and same version number (1) conforms to, feedback differentiates that micro-letter information that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, " wine " word glitter powder distribution characteristics on any file photo (3) of " wine " word glitter powder distribution characteristics on censorship photo (4) and same version number (1) does not conform to, feedback differentiates that conclusion is that micro-letter information of palming off arrives on consumer's smart mobile phone (10).In Figure 10, be the Quick Response Code of paying close attention to certain micro-letter public platform, can scan to pay close attention to and try out.

Embodiment 12.

Suppose existing certain brand 350ml mineral water, adopt the present invention without code anti-counterfeiting method.

Prepare some white PE plastic grains, before being injection molded into bottle cap, in white PE plastic grain, participate in 6% the wide blue hexagon aluminium matter glitter powder (being s=1) for 0.6mm × 0.6mm, thickness 36 μ m.Then, there are the white PE plastic grain of blue aluminium matter glitter powder, heating to be injection molded into mineral water bottle cap one by one ginseng with injection machine.Like this, the blue aluminium matter glitter powder of stochastic distribution has just formed the random grain (2) of bottle cap.

Take one group of random grain (2) file photo (3) to every 100,000 bottle caps, be equipped with a version number (1) to each group file photo (3), version number (1) is printed onto on the body label at these 100,000 bottle cap places.And number (1) storage of corresponding each group file photo (3) its version is put on record in computer recognition system (8) database (9), by the SMS platform of computer recognition system (8) access " 10669588+ version number (1) ".

So, while discerning the false from the genuine, consumer just can open the note of smart mobile phone (10), from note annex, open camera, take random grain (2) the feature censorship photo (4) on a bottle cap, by censorship photo (4) by note annex (multimedia message) be sent to " 10669588+ version number (1) " SMS platform, be then sent in computer recognition system (8) database (9).

Computer recognition system (8) is by the glitter powder distribution characteristics on bottle cap censorship photo (4), compare one by one with (being in identical file folder) whole 100,000 bottle cap file photos (3) in database (9) with same version number (1), as found, the glitter powder distribution characteristics on a certain the bottle cap file photo (3) of glitter powder distribution characteristics on censorship photo (4) and same version number (1) conforms to, feedback differentiates that the short message that conclusion is genuine piece arrives on consumer's smart mobile phone (10), as found, the glitter powder distribution characteristics on any bottle cap file photo (3) of the upper glitter powder distribution characteristics of censorship photo (4) and same edition number (1) does not conform to, feedback differentiates that conclusion is that the short message of palming off arrives on consumer's smart mobile phone (10).

In this example, on failed call file photo (3) and censorship photo (4), must comprise version number (1), this version number (1) way that deliberately do not comprise, when each inquiry, all require consumer must manually input the version number (1) of often conversion, this version number (1) often converting is difficult to deposit in cell phone address book as conventional enquiry number, more be difficult to be remembered by consumer, concerning consumer, each inquiry all needs manually to input this step operation steps, it is obviously the bad way of a kind of change, but must belong to the scope that the present invention is contained.

Above disclosed is only preferred embodiment of the present invention, the interest field that certainly can not limit the present invention with this, and the equivalent variations of therefore doing according to the claims in the present invention, still belongs to the scope that the present invention is contained.

Claims

1. without code anti-counterfeiting method, comprise texture anti-fake printed matter (6), random grain (2) characteristic information on this texture anti-fake printed matter (6), be stored in computer recognition system (8) database (9) on internet (7), it is characterized in that comprising the following steps:

1. when print production, the texture anti-fake printed matter (6) of same forme is split into x the version forme that number (1) is different and divide version printing, the forme of each edition number (1) only prints n texture anti-fake printed matter (6), wherein n >=2;

Take respectively at least one random grain (2) file photo (3) 2. to again n the texture anti-fake printed matter (6) of same version number (1), in computer recognition system (8) database (9) that corresponding whole file photos (3) of clapping its same version number (1), storage are put on record on internet (7);

3. while discerning the false from the genuine, with smart mobile phone (10) facing to texture anti-fake printed matter (6) take one comprise version number (1) random grain (2) censorship photo (4), by this censorship photo (4) by the existing note of smart mobile phone (10) or multimedia message or micro-letter or credulity or QQ or APP instrument, be sent in computer recognition system (8) database (9) on internet (7);

4. computer recognition system (8) is through comparison, if find random grain (2) on this censorship photo (4), conform to the random grain (2) on a certain the file photo (3) of same version number (1), feedback differentiates that information that conclusion is genuine piece is to consumer's smart mobile phone (10); If find random grain (2) on this censorship photo (4), do not conform to the random grain (2) on any file photo (3) of same version number (1), feedback differentiates that conclusion is that the information of personation is to consumer's smart mobile phone (10).

2. according to automatic identification and false proof method claimed in claim 1, it at least comprises one of following feature:

2. texture anti-fake printed matter (6) the quantity n of positioning lattice (5) quantity g and same version number (1), the pass between the two is 2 ^g/ 10000>=n;

3. texture anti-fake printed matter (6) quantity n and random grain (2) the number of colors s of positioning lattice (5) quantity g and same version number (1), the pass between three is (s+1) ^g/ 10000>=n;

4. the pass of described positioning lattice (5) interior random grain (2) quantity w and positioning lattice (5) quantity g is 0.8g >=w >=0.2g;

5. described tag slot (13) or its are printed with graduated scale (14) around;

6. random grain (2) feature on described file photo (3), take positioning lattice (5) as object of reference, convert in feature code group and computer recognition system (8) database (9) of its file photo (3) corresponding stored on internet (7).