An Anti-fake Bitmap Graphic Encoding and Decoding Method for Commodity Packaging

Wan, Jie; Chen, L.

doi:10.1109/piers-spring46901.2019.9017687

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…According to patents, the encoding and decoding algorithms based on commodity traceability are becoming more diverse and practical. Among them, Wan et al inspired us the structure of basic information coding. In 2016, an article combined channel coding with product traceability.…”

Section: Introductionmentioning

confidence: 99%

A compounded encoding and decoding algorithm for product tracing based on the information‐grayscale matrix

Wan

Liu

Xia

et al. 2019

Int J Numerical Modelling

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This paper proposes a compounded encoding and decoding algorithm based on the information-grayscale matrix. Generally, it is very difficult to track the original information in the circulation of commodity. This algorithm is aimed to be applied to product tracing, especially fast-moving consumer goods (FMCG). According to the traceability requirements of product information, we construct the structure of basic information code with information bits and check bits. The encoded information can be mapped into an information matrix through visible and invisible processes after extending the matrix, and we generate the corresponding grayscale matrix by calculating the relationship between the four-dimensional matrices of each matrix cell. It is the information-grayscale matrix that forms our product traceability information matrix. When the matrix is damaged in logistics transportation, we can get very high matrix information recovery rate through the decoding algorithm of the information-grayscale matrix including self-recovery, cross recovery, mutual recovery, and iteration; finally, the 2 × DA + DC structure can obtain 85% recovery rate when the damage rate reaches 70% for 10 million data volumes, and it can be extended into various structures. In addition, the algorithm can achieve a good balance between encoding rate and recovery rate and can be extended into different structures.

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Section: Introductionmentioning

confidence: 99%

A compounded encoding and decoding algorithm for product tracing based on the information‐grayscale matrix

Wan

Liu

Xia

et al. 2019

Int J Numerical Modelling

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An error‐correction and anti‐interference coding method for tracking big‐data information of commodities

Wan

Chen

Tong

2020

Int J Numerical Modelling

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The paper presents a novel efficient encoding and decoding method for self‐correction and anti‐interference used in big data product tracing system based on the cyclic code theory. The principle of constructing code set is first illustrated. Then the specific encoding and decoding methods suitable for the algebra rules are invented in sequence for efficiency. At last, to test the new coding system, the paper accelerates the decoding time by OpenMP more than 36 times. The error‐correcting code presents its perfect recovery property with a recovery rate of more than 95% under 60% damage rate. In analyzing its efficiency, the encoding process only costs 0.0045 second in average while the time of decoding method will increase with the damage rate’s ascending, but it can be controlled within 16 seconds. In comparison to other coding patterns in the references, the newly error‐correcting and anti‐interference coding method achieves a balance in complexity, encoding rate, and decoding time with its priority in recovering rate under the damage rate of 60%.

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An Anti-fake Bitmap Graphic Encoding and Decoding Method for Commodity Packaging

Cited by 2 publications

References 3 publications

A compounded encoding and decoding algorithm for product tracing based on the information‐grayscale matrix

A compounded encoding and decoding algorithm for product tracing based on the information‐grayscale matrix

An error‐correction and anti‐interference coding method for tracking big‐data information of commodities

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