Commodity automatic identification traceability anti-counterfeiting method and system based on texture partitioning

Abstract

The invention provides a commodity automatic identification traceability anti-counterfeiting method and system based on texture partitioning. The commodity automatic identification traceability anti-counterfeiting method comprises the steps of collecting a texture panorama of a subject matter; dividing the texture panorama into a plurality of regions to obtain partition image blocks, and storing the texture panorama and the partition image blocks; randomly extracting partition image blocks according to the identification request; acquiring a shot image at a position, corresponding to the displayed partition image block, on the subject matter; automatically identifying the similarity between the partitioned image blocks and the shot image; and if the similarity is within a given threshold range, displaying genuine product identification conclusion information, and binding and storing the identity information of the discriminator. According to the commodity automatic identification traceability anti-counterfeiting method, an identification conclusion is directly given by adopting an automatic identification and comparison method, and the image identification similarity process is higher in accuracy than the manual observation process, and the anti-counterfeiting effect is better. Divided areas are randomly picked out in the verification process and are automatically compared andconfirmed with details of images shot by commodity real objects, and identification errors possibly caused by observing orientation images by human eyes are overcome.

Description

technical field [0001] The invention relates to the field of anti-counterfeiting technology, in particular to an anti-counterfeiting method and system for automatic identification and traceability of commodities based on texture partitioning. Background technique [0002] In recent years, with the rapid development of the information industry, it is often impossible to effectively avoid the counterfeit and shoddy phenomena that may appear in the transaction and circulation of commodities. Moreover, with the further improvement of corporate brand recognition, or the temptation of the interests of antique cultural relics, there may be criminals who think it is profitable to manufacture fake and shoddy products and put them on the market, damaging the reputation of the company and the interests of consumers. [0003] At present, the way of providing anti-counterfeiting and traceability services in the market is often evaluated and identified by a single company or relevant orga...

AI Technical Summary

Problems solved by technology

However, there are obvious defects in the above method: artificial naked eye recognition can only identify obvious anti-counterfeiting features, but the more obvious the anti-counterfeiting features are, the easier it is to implement counterfeiting behaviors on the anti-counterfeiting features themselves, and it is easy to cause recognition errors; the way of anti-counterfeiting code inspection also cannot prevent counterfeiting Coding and counterfeiting of the background server cannot fundamentally guarantee the anti-counterfeiting strength

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