CN105243551A - Anti-counterfeiting dot matrix graphic encoding and decoding method applicable to commodity packaging - Google Patents
Anti-counterfeiting dot matrix graphic encoding and decoding method applicable to commodity packaging Download PDFInfo
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- CN105243551A CN105243551A CN201510658327.2A CN201510658327A CN105243551A CN 105243551 A CN105243551 A CN 105243551A CN 201510658327 A CN201510658327 A CN 201510658327A CN 105243551 A CN105243551 A CN 105243551A
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Abstract
The present invention relates to an anti-counterfeiting dot matrix graphic encoding and decoding method applicable to commodity packaging. The method comprises: determining a rotation angle and a mark point number which are required for dot matrix graphics, taking redundant symmetric graphics about the rectangular center of defined graphics so as to improve the recovery rate of a dot matrix under the condition of random destruction, encoding each group of graphics, performing redundant distribution of the dot matrix, associating the generated dot matrix with the original information of a commodity, and storing corresponding information into a database for decoding tracing; and according to the dot matrix information and an encoding rule, decoding to read the original information, and comparing the original information with database information to determine the commodity property. According to the method provided by the present invention, under the condition of the same ink jetting amount, the multi-nary scheme provided by the present invention is higher than the binary scheme on the aspect of a data amount, and the space utilization rate is further improved, thereby providing a large playing space for the design of cross-correlation and self-correlation and effectively improving the reliability of encoding. The contradiction between the large data amount and a code element as well as the ink jetting cost can be avoided, and the method is suitable for batch low-cost commodity anti-counterfeiting tracing.
Description
Technical field
The present invention relates to a kind of anti-counterfeiting technology, particularly a kind of false proof dot pattern decoding method being adapted to commodity packaging.
Background technology
At commodity circulation, the recognition technology of what most of anti-counterfeit package adopted is RFID less radio-frequency, is well received by the public because it reads the performance such as convenient, recognition speed is fast.But RFID depends on the label be affixed in commodity external packing, be subject to artificial destruction and random disruptions in transit, for the identity information mark high cost of the common product that disappear soon.
For the ink jet printing anti-counterfeiting technology of low cost, by data technique large with current internet, its performance in redundant information and mutual correlation further increases the ability of its anti-artificial destruction and random disruptions, require more and more higher market for commodity data amount at present, it only relies on increase number of symbols, and this just needs more redundancy and packaging space, also mutual correlation is unfavorable for, if things go on like this, its contradiction will be more outstanding, and constantly can increase ink-jet cost.
Summary of the invention
The present invention be directed to the ink jet printing anti-counterfeiting technology Problems existing of low cost, propose a kind of false proof dot pattern decoding method being adapted to commodity packaging, it can avoid the contradiction between big data quantity and code element, ink-jet cost, is applicable to commodity counterfeit prevention that is in enormous quantities, low cost and reviews.。
Technical scheme of the present invention is: a kind of false proof dot pattern decoding method being adapted to commodity packaging, specifically comprises the steps:
1) rotation angle needed for dot pattern, mark tally is determined:
In a rectangle, take rectangular centre as limit, with level and vertical direction for horizontal ordinate and ordinate, set up polar coordinate system,
Define 5 kinds of graph position states, without figure, become 0 ° with horizontal ordinate, 45 °, 90 °, 4 kinds of situations of 135 °, totally 5 kinds;
In order to improve dot matrix under random disruptions can recovery rate, 5 kinds of figures are got redundancy symmetric figure about rectangular centre, be 0 without figure, become a block graphics of 0 ° to be 1 with horizontal ordinate, a block graphics at 45 ° with horizontal ordinate is 2, a block graphics in 90 ° with horizontal ordinate is 3, and the one group of circle becoming 135 ° with horizontal ordinate is 4, can represent 5 system numbers by figure;
2) encode, dot matrix redundant distributions:
Select three block graphicses to be placed in a rectangle, arrange the front and back position of three groups of numbers with distance rectangular centre distance, the position of the graphical representation that distance rectangular centre is nearest is most significant digit, secondary near figure is interposition, figure is farthest lowest order, then in a rectangle, 3 block graphicses are expressed as 35 system numbers
The rectangle of band 3 block graphics that definition n is different, lines up first row, and definition rectangle 1 comprises high 3 bit value of 3 × n position 5 system raw information, and rectangle 2 comprises secondary high 3, and by that analogy, rectangle n comprises last 3 bit value,
Rectangle 1 is copied n-1 part, put into the diverse location that second row to the n-th is arranged respectively, each position is not in same row, give different numbering, in like manner remaining rectangle 2 is all copied n-1 part to rectangle n, put into diverse location, give different numbering, n the rectangle forming each row of every a line all contains complete information;
3) be associated with commodity raw information by the dot matrix of generation, corresponding informance is reviewed for decoding stored in database;
4) lattice information decoding:
According to lattice information and coding rule, read raw information, with database information comparison, determine item property.
Described figure is geometry dot matrix associated graphic.
Beneficial effect of the present invention is: the present invention is adapted to the false proof dot pattern decoding method of commodity packaging, when identical ink ejection amount, multi-system scheme of the present invention in data volume higher than binary scheme, space availability ratio is further enhanced, thus more play space for the design of mutual correlation and auto correlation provides, effectively improve the reliability of coding.
Accompanying drawing explanation
Fig. 1 is graphic dot matrix representation schematic diagram of the present invention;
Fig. 2 is the representation schematic diagram of the present invention 5 system graphic dot matrix;
Fig. 3 is the graphic dot matrix representation instance graphs of the present invention's 35 system numbers in rectangle;
Fig. 4 is the full graphics dot matrix distribution examples figure of the present invention's 12 5 system numbers;
Fig. 5 is dot matrix mutual correlation schematic diagram of the present invention;
Fig. 6 is that the recoverable damaged dot matrix of the present invention illustrates a figure;
Fig. 7 is that the recoverable damaged dot matrix of the present invention illustrates two figure.
Embodiment
A kind of false proof dot pattern decoding method step being adapted to commodity packaging is as follows:
1) rotation angle needed for dot pattern, mark tally is determined:
In a rectangle, take rectangular centre as limit, with level and vertical direction for horizontal ordinate and ordinate, set up polar coordinate system.
Dot matrix representation schematic diagram as shown in Figure 1, defines 5 kinds of graph position states, as circular (may also be triangle, rhombus, definable geometric figure) in figure, without figure, becomes 0 ° with horizontal ordinate, 45 °, 90 °, 4 kinds of situations of 135 °, totally 5 kinds.The representation schematic diagram of 5 system dot matrix as shown in Figure 2, in order to improve dot matrix under random disruptions can recovery rate, get redundancy symmetric figure about rectangular centre.Add this kind of situation planless, be one group with 2 figures and be defined as a number, be 0 without figure, the one group of circle becoming 0 ° with horizontal ordinate is 1, the one group circle at 45 ° with horizontal ordinate is 2, the one group circle in 90 ° with horizontal ordinate is 3, and the one group of circle becoming 135 ° with horizontal ordinate is 4, can represent 5 system numbers like this by figure.
2) encode, dot matrix redundant distributions:
The dot matrix representation instance graph of 35 system numbers in rectangle as shown in Figure 3, three block graphicses are selected to be placed in a rectangle, the front and back position of three groups of numbers is arranged with distance rectangular centre distance, the position of the graphical representation that distance rectangular centre is nearest is most significant digit, secondary near figure is interposition, figure is farthest lowest order, then in a rectangle, 3 block graphicses just can represent 35 system numbers, the nearest block graphics of figure middle distance rectangular centre becomes 0 ° to be designated as 1, for most significant digit, a secondary block graphics closely at 45 °ly with horizontal ordinate is designated as 2, a block graphics farthest becomes 135 ° and is designated as 4 with horizontal ordinate.Dot matrix shown in Fig. 3 can represent with 35 system numbers 124.12 5 system numbers can be represented as got 4 different putting position rectangles.
The full graphics dot matrix distribution examples figure of 12 5 system numbers as shown in Figure 4, define the rectangle of 4 different band 3 block graphicses, as 4 rectangles of first row in Fig. 4, definition rectangle 1 comprises high 3 bit value 124 of 12 5 system raw informations, rectangle 2 comprises time high 3 321, rectangle 3 comprise 443 and rectangle 4 comprise last 3 figure places 032.The first row rectangle then shown in Fig. 4 comprises 12 complete 5 system number raw informations.In addition rectangle 1 is copied 3 parts, be numbered 8,11,14; Rectangle 2 is copied 3 parts, is numbered 7,12,13; Rectangle 3 is copied 3 parts, is numbered 6,9,16; Rectangle 4 is copied 3 parts, is numbered 5,10,15.Redundant distributions after copying as shown in Figure 4.
Described dot matrix distribution rule, copies the many parts of dot matrix generated by raw information, by the many parts of discrete distributions of complete information, forms the layout that horizontal, longitudinal, adjacent, corner etc. all can recover complete information.As Fig. 5, be specifically distributed as 4 row 4 and arrange, require as each ranks all has the dot matrix comprising identical information, and the dot matrix comprising identical information in each ranks does not repeat.The dot matrix of complete information can be combined into 4 corner distributions.Be one group with 4 unit dot matrix again, make adjacent 4 lattice energies be combined into complete information.Adjust the dot matrix on 4 limits again, make 4 dot matrix in the middle of on Symmetry Edge also can comprise complete information.
Dot matrix mutual correlation schematic diagram as shown in Figure 5, after above-mentioned redundant distributions, 4 rectangles of each row of every a line all contain complete information, rectangle (1,2,5 in addition, 6), (3,4,7,8), (6,7,10,11), (9,10,13,14), (11,12,15,16), (1,4,13,16), (2,3,14,15), (5,9,8,12) totally 8 groups of combinations also comprise complete information.
3) be associated with commodity raw information by the dot matrix of generation, corresponding informance is reviewed for decoding stored in database;
4) lattice information decoding:
According to lattice information and coding rule, read raw information, with database information comparison, determine item property.As shown in Figure 4, high 3 for 12 5 system numbers, can from rectangle 1, rectangle 8, and rectangle 11 rectangle 14 reads in any one, as long as these 4 rectangles have one to be complete, as Fig. 3, then these high 3 can solve.
Described lattice information decoding, when dot matrix N/D, only need read information that is horizontal, longitudinal, adjacent or corner dot matrix according to distribution rule, then according to the rule of correspondence sense data of rotation angle, gauge point and data.When having some defects in two points representing a data, the line angulation of the non-defect point in dot matrix center and defect group is the rotation angle of this group point, when having 2 defects in two points representing a data, then seek corresponding to the information in defect dot matrix in redundancy dot matrix, form complete information.
If these 4 rectangles all parts against wear:
As shown in Figure 6, one group of point only surplus point that this rectangle middle distance rectangular centre is nearest, can mend out another point by symmetry, therefore can solve situation one;
Situation two is two rectangles as shown in Figure 7, if each own one group of some disappearance of two rectangles comprising identical information, but two rectangle disappearances is not same group of point, as Fig. 7 left side rectangle lacks from the nearest point of rectangular centre, readable information is x24, the right rectangle disappearance is from rectangular centre point farthest, and readable information is 12x, then finally can read 124.
Claims (2)
1. be adapted to a false proof dot pattern decoding method for commodity packaging, it is characterized in that, specifically comprise the steps:
1) rotation angle needed for dot pattern, mark tally is determined:
In a rectangle, take rectangular centre as limit, with level and vertical direction for horizontal ordinate and ordinate, set up polar coordinate system,
Define 5 kinds of graph position states, without figure, become 0 ° with horizontal ordinate, 45 °, 90 °, 4 kinds of situations of 135 °, totally 5 kinds;
In order to improve dot matrix under random disruptions can recovery rate, 5 kinds of figures are got redundancy symmetric figure about rectangular centre, be 0 without figure, become a block graphics of 0 ° to be 1 with horizontal ordinate, a block graphics at 45 ° with horizontal ordinate is 2, a block graphics in 90 ° with horizontal ordinate is 3, and the one group of circle becoming 135 ° with horizontal ordinate is 4, can represent 5 system numbers by figure;
2) encode, dot matrix redundant distributions:
Select three block graphicses to be placed in a rectangle, arrange the front and back position of three groups of numbers with distance rectangular centre distance, the position of the graphical representation that distance rectangular centre is nearest is most significant digit, secondary near figure is interposition, figure is farthest lowest order, then in a rectangle, 3 block graphicses are expressed as 35 system numbers
The rectangle of band 3 block graphics that definition n is different, lines up first row, and definition rectangle 1 comprises high 3 bit value of 3 × n position 5 system raw information, and rectangle 2 comprises secondary high 3, and by that analogy, rectangle n comprises last 3 bit value,
Rectangle 1 is copied n-1 part, put into the diverse location that second row to the n-th is arranged respectively, each position is not in same row, give different numbering, in like manner remaining rectangle 2 is all copied n-1 part to rectangle n, put into diverse location, give different numbering, n the rectangle forming each row of every a line all contains complete information;
3) be associated with commodity raw information by the dot matrix of generation, corresponding informance is reviewed for decoding stored in database;
4) lattice information decoding:
According to lattice information and coding rule, read raw information, with database information comparison, determine item property.
2. be adapted to the false proof dot pattern decoding method of commodity packaging according to claim 1, it is characterized in that, described figure is geometry dot matrix associated graphic.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106548499A (en) * | 2016-10-27 | 2017-03-29 | 网易（杭州）网络有限公司 | A kind of generation of coding pattern, recognition methodss and device |
| CN106570549A (en) * | 2016-10-28 | 2017-04-19 | 网易（杭州）网络有限公司 | Coding pattern generation and identification methods and coding pattern generation and identification devices |
| CN107798372A (en) * | 2017-11-24 | 2018-03-13 | 深圳市裕同包装科技股份有限公司 | Coding method, application process and the solution code system of product information dot matrix image |
| CN109359999A (en) * | 2018-08-21 | 2019-02-19 | 同济大学 | The decoding method of two-dimensional line segment figure for commodity outer packing |
| CN109376825A (en) * | 2018-08-21 | 2019-02-22 | 卢成伟 | A kind of two-dimensional code generation method and device |
| CN111553717A (en) * | 2020-05-13 | 2020-08-18 | 陈明斌 | Anti-counterfeiting tracing method for object |
| CN112406343A (en) * | 2020-11-30 | 2021-02-26 | 中信戴卡股份有限公司 | Code making method for improving recognition rate of fluorescent two-dimensional code |
| CN117436907A (en) * | 2023-12-20 | 2024-01-23 | 中科微点技术有限公司 | Anti-fake information tracing method based on combination of mobile phone scanning dot matrix code and digital watermark |
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| CN107798372A (en) * | 2017-11-24 | 2018-03-13 | 深圳市裕同包装科技股份有限公司 | Coding method, application process and the solution code system of product information dot matrix image |
| CN107798372B (en) * | 2017-11-24 | 2021-05-11 | 深圳市裕同包装科技股份有限公司 | Encoding method, decoding method and decoding system of product information dot matrix image |
| CN109359999B (en) * | 2018-08-21 | 2021-10-29 | 同济大学 | Encoding and decoding method for two-dimensional line segment graph of commodity outer package |
| CN109376825A (en) * | 2018-08-21 | 2019-02-22 | 卢成伟 | A kind of two-dimensional code generation method and device |
| CN109359999A (en) * | 2018-08-21 | 2019-02-19 | 同济大学 | The decoding method of two-dimensional line segment figure for commodity outer packing |
| CN109376825B (en) * | 2018-08-21 | 2022-02-01 | 卢成伟 | Two-dimensional code generation method and device |
| CN111553717A (en) * | 2020-05-13 | 2020-08-18 | 陈明斌 | Anti-counterfeiting tracing method for object |
| CN111553717B (en) * | 2020-05-13 | 2023-04-18 | 陈明斌 | Anti-counterfeiting tracing method for object |
| CN112406343A (en) * | 2020-11-30 | 2021-02-26 | 中信戴卡股份有限公司 | Code making method for improving recognition rate of fluorescent two-dimensional code |
| CN117436907A (en) * | 2023-12-20 | 2024-01-23 | 中科微点技术有限公司 | Anti-fake information tracing method based on combination of mobile phone scanning dot matrix code and digital watermark |
| CN117436907B (en) * | 2023-12-20 | 2024-03-19 | 中科微点技术有限公司 | Anti-fake information tracing method based on combination of mobile phone scanning dot matrix code and digital watermark |
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