CN117291631A - Hidden commodity tracing method and system - Google Patents
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Abstract
The invention discloses a hidden commodity tracing method and system, which comprises a decoding application program, a coding module, a decoding module and an anti-counterfeiting code testing module, wherein the coding module is in data interconnection with the decoding module, the decoding module is in data interconnection with the anti-counterfeiting code testing module, the anti-counterfeiting code testing module is connected with the coding module, the decoding module is arranged in the decoding application program, mark points can be collected to generate anti-counterfeiting tracing codes through the coding module, error-tolerant codes, data codes and information codes are implanted in the anti-counterfeiting tracing codes to generate unique anti-counterfeiting tracing codes, part of mark point parameters can be manually adjusted, so that the anti-counterfeiting tracing codes can be more diversified and difficult to copy, the defect that QR codes in the prior art are easy to copy and steal codes can be resolved, and the problem that the anti-counterfeiting codes can be resolved easily through the QR codes is solved.
Description
Technical Field
The invention relates to the technical field of information, in particular to a hidden commodity tracing method and system.
Background
At present, commodity anti-counterfeiting mainly depends on two-dimensional codes for tracing anti-counterfeiting, namely the most general QR codes, the anti-counterfeiting process mainly comprises the steps of putting anti-counterfeiting codes into the QR codes, and the QR codes have the advantages of attractive appearance and low use cost, but also have the defect of easy copying and code stealing, and the anti-counterfeiting codes can be easily analyzed through the QR codes.
Disclosure of Invention
The invention provides a hidden commodity tracing method and a hidden commodity tracing system for solving the technical problems.
The technical scheme of the invention is realized as follows:
the hidden commodity tracing system comprises a decoding application program, a coding module, a decoding module and an anti-counterfeiting code testing module, wherein the coding module is in data interconnection with the decoding module, the decoding module is in data interconnection with the anti-counterfeiting code testing module, the anti-counterfeiting code testing module is connected with the coding module, and the decoding module is internally provided with the decoding application program;
the coding module comprises a coding mark point distribution unit, a mark point conversion unit, a dot matrix code perfecting unit and a dot matrix code calibrating unit;
the marking point distribution unit designs coding marking points and distributes the coding marking points;
the marking point conversion unit converts the coded marking points into a preliminary dot pattern and sends the preliminary dot pattern to the dot code perfecting unit;
the dot matrix code perfecting unit perfects the preliminary dot matrix pattern, including setting error-tolerant codes, data codes and information codes, perfects dot matrix parameters of the preliminary dot matrix pattern, and obtains a perfected dot matrix pattern, wherein the perfected dot matrix pattern is square; the dot matrix code perfecting unit can also adjust the radius of the marking points and the distance between the marking points, and adjust the character strings of the data codes;
the dot matrix code calibration unit generates a positioning point frame and a positioning dot matrix group, so that the subsequent graphic positioning and calibration are facilitated.
The decoding module comprises a positioning unit, a mark point identification unit and a decoding unit;
the positioning unit acquires a positioning point frame and a positioning lattice group by searching for the square range of the perfect lattice graph, and positions the positioning point frame and the positioning lattice group on the lattice graph, so that the range is further accurately decoded;
the mark point identification unit binarizes the perfect dot pattern to determine redundancy of the perfect dot pattern;
further, the decoding unit decodes the perfect dot pattern according to the character corresponding to the mark point in the perfect dot pattern.
The anti-counterfeiting code testing module comprises a virtual interface generating unit, a virtual anti-counterfeiting code generating unit and a testing unit;
the virtual interface generating unit generates an encoding and decoding interface of the http interface;
the virtual anti-counterfeiting code generating unit generates a dot matrix anti-counterfeiting code pattern according to the character string of the data code and sends the dot matrix anti-counterfeiting code pattern to the testing unit;
and the test unit circularly calls the decoding http interface to continuously test the point array anti-fake code pattern, the test obtains the decoding accuracy, and the test is stopped when the decoding accuracy reaches 100%.
The aim and the technical problems of the invention can be further realized by adopting the following technical measures.
A hidden commodity tracing method comprises the following steps:
s1, coding specific commodity, designing coding mark points, and integrating the coding mark points into a commodity anti-counterfeiting tracing code, wherein 6 of the mark points represent one character, 6-bit binary can represent 64 characters, and a character expansion path including lowercase letters is reserved;
s2, setting error-tolerant codes based on commodity anti-counterfeiting traceability codes, and designing fault-tolerant codes with high fault-tolerant rate of more than 30%, wherein the number of error-tolerant codes error N is required to be 30;
setting a data code, wherein in the data code, the marking point needs to meet the marking number pointsN > (20+30) 6=300, and 20 is the maximum data code character number;
setting information codes, wherein about 20 mark points are collected to represent the information codes, and the information codes comprise offset numbers (which can be randomly generated and realize different lattices of the same code), the number of character data and anti-counterfeiting information;
s3, perfecting the commodity anti-counterfeiting tracing code, designing the commodity anti-counterfeiting tracing code into a square, maximizing the area occupation ratio of the square, and marking points on the side length as odd numbers so as to meet the requirement that marking points are arranged on the symmetrical line;
s4, arranging character data code marking points and fault-tolerant code marking points in an alternate arrangement mode, so that fault tolerance is more beneficial to calculation;
s5, setting a locating point frame and a locating lattice group based on commodity anti-counterfeiting tracing codes, and connecting four edge marking points of the square to serve as the locating point frame; taking a marking point with the upper left corner of 3*3 in the square as a positioning lattice group, and setting the other three corner positions as blank;
s6, reducing the influence of image noise, wherein the radius R of the mark point is an odd number pixel point (such as 1, 3, 5, 7, 9, 2-1) which is larger than 1, and the mark point is set as a manually adjustable parameter.
Further, the manually adjustable parameter in S6 further includes:
1. the radius R of the mark point;
2. the distance between the mark points, i.e., the circle center distance D, satisfies D > =r at the same time;
3. the data code character string comprises pure numbers, pure characters and numbers plus characters;
4. redundancy, which can be configured to be low L (i.e., fault tolerance of 13% -33%, determined according to the length of the data code string) and high H (i.e., fault tolerance of 25% -39%, determined according to the length of the data code string), with a lattice size of 21 x 21);
5. the first version only supports fixed user parameters (radius 3, distance 5, redundancy high H).
Compared with the prior art, the invention has the following beneficial effects:
the invention can integrate the mark points to generate the anti-counterfeiting tracing code through the coding module, and generate the unique anti-counterfeiting tracing code by implanting the error-tolerant code, the data code and the information code into the anti-counterfeiting tracing code, and part of mark point parameters in the anti-counterfeiting tracing code can be manually adjusted, so that the anti-counterfeiting tracing code can be more various and difficult to copy, the defect that the QR code in the prior art is easy to copy and steal is overcome, and the problem that the anti-counterfeiting code can be easily resolved through the QR code is solved.
Drawings
FIG. 1 is a schematic diagram of the encoding of the dot pattern according to the present invention;
fig. 2 is a schematic flow chart of a hidden commodity tracing method according to the present invention.
1-marking points by fault-tolerant codes; 2-marking points by data codes; 3-information code data points; 4, positioning a point frame; 5-locating the lattice group.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the hidden commodity tracing system comprises a decoding application program, a coding module, a decoding module and an anti-counterfeiting code testing module, wherein the coding module is in data interconnection with the decoding module, the decoding module is in data interconnection with the anti-counterfeiting code testing module, the anti-counterfeiting code testing module is connected with the coding module, and the decoding module is internally provided with the decoding application program;
the coding module comprises a coding mark point distribution unit, a mark point conversion unit, a dot matrix code perfecting unit and a dot matrix code calibrating unit;
the marking point distribution unit designs coding marking points and distributes the coding marking points;
the marking point conversion unit converts the coded marking points into a preliminary dot pattern and sends the preliminary dot pattern to the dot code perfecting unit;
the dot matrix code perfecting unit perfects the preliminary dot matrix pattern, including setting error-tolerant codes, data codes and information codes, perfects dot matrix parameters of the preliminary dot matrix pattern, and obtains a perfected dot matrix pattern, wherein the perfected dot matrix pattern is square; the dot matrix code perfecting unit can also adjust the radius of the marking points and the distance between the marking points, and adjust the character strings of the data codes;
further, the setting process of the error tolerant code is as follows: the design high fault-tolerant rate is above 30%, 30 fault-tolerant codes are needed for error-tolerant code number error N, and the error-tolerant code number error N is dynamically changed according to the number of characters;
further, the setting process of the data code is as follows: the mark point needs to satisfy the mark number pointsN > (20+30) ×6=300, 20 is the maximum data code character number represented;
further, the setting process of the information code is as follows: the 20 mark points are set to represent information codes, wherein the information codes comprise offset numbers (which can be randomly generated and realize different dot matrixes with the same code), the number of character data and anti-counterfeiting information;
further, the perfect dot pattern is square in shape and the number of the square side length marking points is odd;
the dot matrix code calibration unit generates a positioning point frame and a positioning dot matrix group, so that the subsequent graphic positioning and calibration are facilitated.
The decoding module comprises a positioning unit, a mark point identification unit and a decoding unit;
the positioning unit acquires a positioning point frame and a positioning lattice group by searching for the square range of the perfect lattice graph, and positions the positioning point frame and the positioning lattice group on the lattice graph, so that the range is further accurately decoded;
the mark point identification unit binarizes the perfect dot pattern to determine redundancy of the perfect dot pattern;
further, the decoding unit decodes the perfect dot pattern according to the characters corresponding to the marking points in the perfect dot pattern; the decoding operation includes the steps of:
a. based on the perfect dot pattern, obtaining offset values of 4 directions of the marking points, and determining the correct direction by utilizing the internal angle characteristics of 4 squares;
b. acquiring anti-counterfeiting information in the information code, and judging whether the anti-counterfeiting information is legal or not;
c. obtaining the number of character data in the information code;
d. performing reverse offset according to the offset value to obtain a decrypted data code and a fault-tolerant code value;
e. and acquiring the real data code according to the Rong Cuoma value.
The anti-counterfeiting code testing module comprises a virtual interface generating unit, a virtual anti-counterfeiting code generating unit and a testing unit;
the virtual interface generating unit generates an encoding and decoding interface of the http interface;
the virtual anti-counterfeiting code generating unit generates a dot matrix anti-counterfeiting code pattern according to the character string of the data code and sends the dot matrix anti-counterfeiting code pattern to the testing unit;
and the test unit circularly calls the decoding http interface to continuously test the point array anti-fake code pattern, the test obtains the decoding accuracy, and the test is stopped when the decoding accuracy reaches 100%.
Example two
As shown in fig. 2, the embodiment further includes a process of decoding the anti-counterfeiting tracing code by using a decoding module in the decoding application program, where the steps include:
s1, coding specific commodity, designing coding mark points, and integrating the coding mark points into a commodity anti-counterfeiting tracing code, wherein 6 of the mark points represent one character, 6-bit binary can represent 64 characters, and a character expansion path including lowercase letters is reserved;
s2, setting error-tolerant codes based on commodity anti-counterfeiting traceability codes, and designing fault-tolerant codes with high fault-tolerant rate of more than 30%, wherein the number of error-tolerant codes error N is required to be 30;
setting a data code, wherein in the data code, the marking point needs to meet the marking number pointsN > (20+30) 6=300, and 20 is the maximum data code character number;
setting information codes, wherein about 20 mark points are collected to represent the information codes, and the information codes comprise offset numbers (which can be randomly generated and realize different lattices of the same code), the number of character data and anti-counterfeiting information;
s3, perfecting the commodity anti-counterfeiting tracing code, designing the commodity anti-counterfeiting tracing code into a square, maximizing the area occupation ratio of the square, and marking points on the side length as odd numbers so as to meet the requirement that marking points are arranged on the symmetrical line;
s4, arranging character data code marking points and fault-tolerant code marking points in an alternate arrangement mode, so that fault tolerance is more beneficial to calculation;
s5, setting a locating point frame and a locating lattice group based on commodity anti-counterfeiting tracing codes, and connecting four edge marking points of the square to serve as the locating point frame; taking a marking point with the upper left corner of 3*3 in the square as a positioning lattice group, and setting the other three corner positions as blank;
s6, reducing the influence of image noise, wherein the radius R of a mark point is an odd number pixel point (such as 1, 3, 5, 7, 9, 2-1) with the radius larger than 1, and the mark point is set as a manually adjustable parameter;
s7, positioning the anti-counterfeiting tracing code, and positioning the anti-counterfeiting tracing code on a dot pattern based on a positioning point frame and a positioning dot matrix group in the anti-counterfeiting tracing code;
s8, automatically binarizing the marked points, dividing grids 17, 17 and 21, and determining the dot matrix size of the edited points by utilizing a projection principle;
s9, decoding the special mark point character string, which comprises the following steps:
a. based on the perfect dot pattern, obtaining offset values of 4 directions of the marking points, and determining the correct direction by utilizing the internal angle characteristics of 4 squares;
b. acquiring anti-counterfeiting information in the information code, and judging whether the anti-counterfeiting information is legal or not;
c. obtaining the number of character data in the information code;
d. performing reverse offset according to the offset value to obtain a decrypted data code and a fault-tolerant code value;
e. and acquiring the real data code according to the Rong Cuoma value.
Further, the manually adjustable parameter in S6 further includes:
1. the radius R of the mark point;
2. the distance between the mark points, i.e., the circle center distance D, satisfies D > =r at the same time;
3. the data code character string comprises pure numbers, pure characters and numbers plus characters;
4. redundancy, which can be configured to be low L (i.e., fault tolerance of 13% -33%, determined according to the length of the data code string) and high H (i.e., fault tolerance of 25% -39%, determined according to the length of the data code string), with a lattice size of 21 x 21);
5. the first version only supports fixed user parameters (radius 3, distance 5, redundancy high H).
According to the embodiment, the anti-counterfeiting tracing can be performed on the commodity, and the decoding result is unique because the anti-counterfeiting tracing code is difficult to copy.
Claims (7)
1. A hidden commodity traceability system, characterized by: the anti-fake code testing device comprises a decoding application program, a coding module, a decoding module and an anti-fake code testing module, wherein the coding module is in data interconnection with the decoding module, the decoding module is in data interconnection with the anti-fake code testing module, the anti-fake code testing module is connected with the coding module, and the decoding module is internally provided with the decoding application program;
the coding module designs coding marking points, distributes the coding marking points, converts the coding marking points into a preliminary dot pattern, perfects the preliminary dot pattern, comprises setting error-tolerant codes, data codes and information codes, perfects dot matrix parameters of the preliminary dot pattern, and obtains a perfected dot pattern;
the decoding module acquires a positioning point frame and a positioning dot group by searching a square range of the perfect dot pattern, binarizes the perfect dot pattern, determines redundancy of the perfect dot pattern, and decodes the perfect dot pattern according to characters corresponding to marking points in the perfect dot pattern;
the anti-counterfeiting code test module generating unit generates an encoding and decoding interface of the http interface, the generating unit generates dot matrix anti-counterfeiting code patterns according to character strings of the data codes, the decoding http interface is called circularly, continuous testing is conducted on the dot matrix anti-counterfeiting code patterns, and accuracy of decoding is obtained through testing.
2. A hidden commodity traceback system according to claim 1, wherein: the coding module comprises a coding mark point distribution unit, a mark point conversion unit, a dot matrix code perfecting unit and a dot matrix code calibrating unit;
the marking point distribution unit designs coding marking points and distributes the coding marking points;
the marking point conversion unit converts the coded marking points into a preliminary dot pattern and sends the preliminary dot pattern to the dot code perfecting unit;
the dot matrix code perfecting unit perfects the preliminary dot matrix pattern, including setting error-tolerant codes, data codes and information codes, perfects dot matrix parameters of the preliminary dot matrix pattern, and obtains a perfected dot matrix pattern, wherein the perfected dot matrix pattern is square; the dot matrix code perfecting unit can also adjust the radius of the marking points and the distance between the marking points, and adjust the character strings of the data codes;
the dot matrix code calibration unit generates a positioning point frame and a positioning dot matrix group, so that the subsequent graphic positioning and calibration are facilitated.
3. A hidden commodity traceback system according to claim 2, wherein: the setting process of the error-tolerant code is as follows: designing high fault-tolerant rate to be at least 30%, wherein 30 fault-tolerant codes are needed;
the setting process of the data code is as follows: the mark point needs to satisfy the mark number pointsN > (20+30) ×6=300, 20 is the maximum data code character number represented;
the information code setting process comprises the following steps: the 20 mark points are collected to represent information codes, and the information codes comprise offset numbers, the number of character data and anti-counterfeiting information;
the perfect dot pattern is square in shape, and the number of side length marking points of the square is odd.
4. A hidden commodity traceback system according to claim 1, wherein: the decoding module comprises a positioning unit, a mark point identification unit and a decoding unit;
the positioning unit acquires a positioning point frame and a positioning lattice group by searching for the square range of the perfect lattice graph, and positions the positioning point frame and the positioning lattice group on the lattice graph, so that the range is further accurately decoded;
the mark point identification unit binarizes the perfect dot pattern to determine redundancy of the perfect dot pattern;
further, the decoding unit decodes the perfect dot pattern according to the character corresponding to the mark point in the perfect dot pattern.
5. A hidden commodity traceback system according to claim 1, wherein: the anti-counterfeiting code testing module comprises a virtual interface generating unit, a virtual anti-counterfeiting code generating unit and a testing unit;
the virtual interface generating unit generates an encoding and decoding interface of the http interface;
the virtual anti-counterfeiting code generating unit generates a dot matrix anti-counterfeiting code pattern according to the character string of the data code and sends the dot matrix anti-counterfeiting code pattern to the testing unit;
and the test unit circularly calls the decoding http interface to continuously test the point array anti-fake code pattern, the test obtains the decoding accuracy, and the test is stopped when the decoding accuracy reaches 100%.
6. A hidden commodity tracing method is characterized in that: the method comprises the following steps:
s1, coding specific commodity, designing coding mark points, and integrating the coding mark points into a commodity anti-counterfeiting tracing code, wherein 6 of the mark points represent one character, 6-bit binary can represent 64 characters, and a character expansion path including lowercase letters is reserved;
s2, setting error-tolerant codes based on commodity anti-counterfeiting traceability codes, and designing fault-tolerant codes with high fault-tolerant rate of more than 30%, wherein the number of error-tolerant codes error N is required to be 30;
setting a data code, wherein in the data code, the marking point needs to meet the marking number pointsN > (20+30) 6=300, and 20 is the maximum data code character number;
setting information codes, wherein about 20 mark points are collected to represent the information codes, and the information codes comprise offset numbers (which can be randomly generated and realize different lattices of the same code), the number of character data and anti-counterfeiting information;
s3, perfecting the commodity anti-counterfeiting tracing code, designing the commodity anti-counterfeiting tracing code into a square, maximizing the area occupation ratio of the square, and marking points on the side length as odd numbers so as to meet the requirement that marking points are arranged on the symmetrical line;
s4, arranging character data code marking points and fault-tolerant code marking points in an alternate arrangement mode, so that fault tolerance is more beneficial to calculation;
s5, setting a locating point frame and a locating lattice group based on commodity anti-counterfeiting tracing codes, and connecting four edge marking points of the square to serve as the locating point frame; taking a marking point with the upper left corner of 3*3 in the square as a positioning lattice group, and setting the other three corner positions as blank;
s6, reducing the influence of image noise, wherein the radius R of a mark point is an odd number pixel point (such as 1, 3, 5, 7, 9, 2-1) with the radius larger than 1, and the mark point is set as a manually adjustable parameter;
s7, positioning the anti-counterfeiting tracing code, and positioning the anti-counterfeiting tracing code on a dot pattern based on a positioning point frame and a positioning dot matrix group in the anti-counterfeiting tracing code;
s8, automatically binarizing the marked points, dividing grids 17, 17 and 21, and determining the dot matrix size of the edited points by utilizing a projection principle;
s9, decoding the special mark point character string, which comprises the following steps:
a. based on the perfect dot pattern, obtaining offset values of 4 directions of the marking points, and determining the correct direction by utilizing the internal angle characteristics of 4 squares;
b. acquiring anti-counterfeiting information in the information code, and judging whether the anti-counterfeiting information is legal or not;
c. obtaining the number of character data in the information code;
d. performing reverse offset according to the offset value to obtain a decrypted data code and a fault-tolerant code value;
e. and acquiring the real data code according to the Rong Cuoma value.
7. The hidden commodity tracing method according to claim 6, wherein: the manually adjustable parameters in S6 further include:
1. the radius R of the mark point;
2. the distance between the mark points, i.e., the circle center distance D, satisfies D > =r at the same time;
3. the data code character string comprises pure numbers, pure characters and numbers plus characters;
4. redundancy, which can be configured to be low L (i.e., fault tolerance of 13% -33%, determined according to the length of the data code string) and high H (i.e., fault tolerance of 25% -39%, determined according to the length of the data code string), with a lattice size of 21 x 21);
5. the first version only supports fixed user parameters (radius 3, distance 5, redundancy high H).
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