Abstract:

Aim at the application requirement of logo recognition in image intelligent processing, a logo recognition algorithm based on grid feature and fuzzy matching is proposed. The grid feature of the logo is extracted, and then transformed into the membership degree of fuzzy sets. At last, closeness degree is used to accomplish logo recognition. This significantly enhances adaptability and antiinterference to the poor quality image, and effectively improves the flexible processing capability of logo recognition system. Experimental results show that the recognition rate of the logo recognition algorithm can reach as high as 95.5%.

Key words: logo recognition;grid feature;fuzzy matching