A Novel Encoding and Decoding Method for Packaging Goods Based on Grayscale-Information Matrix

This article provides a method for encoding and decoding matrix compounded by basic information of goods packaging and the grayscale information which is beneficial to the anti-counterfeiting and tracing techniques of commodities in circulation. We first design the product information code based on the features of product and further perform convolutional coding. Then, a corresponding grayscale matrix is generated based on the basic information matrix and the relationship between the matrix elements. By decoding the discretized matrix formed by the basic information matrix and the grayscale matrix, we can recover the information matrix that has been damaged and finally to realize the traceability of the goods. After testing a lot of data, the results show that the method can obtain a much higher recovery ratio of commodity's information even when the damage ratio of the outer package exceeds half.