The Technique of Shape-Based Multi-Feature Combination of TradeMark Image Retrieval

Abstract:

At present, the technique of trademark image retrieval based on multi-feature combination of the shape mainly includes single-feature global matching or local matching and multi-feature matching, which is playing a more and more important role in the area of the trademark image retrieval. In this paper, due to the deficiency described by some single shape-based features, the technique of the multi-feature combination trademark image retrieval is proposed based on the region and the edge of a shape. Firstly, a trademark image is segmented with region growing, then low order Hu moments and eccentricity are extracted on the resulting region, which is able to express the local information of the image; Secondly, there is an extraction of Compactness and Convexity, which describe the global feature of the image, on the edge extracted with Canny. At last, the combination of the multi-feature is applied to get a Euclidean distance. Good results have been obtained in the following experiment, which proves the multi-feature combination way is better than other single-feature ways.

• Periodical: Advanced Materials Research (Volume 429)
• Pages: 287-291
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.429.287
• Online since: January 2012
• Authors: Cong Zhang, Fu Cheng You
• Keywords: Gaussian Normalizaion, Multi-Feature Combination, Trademark Images

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