An effective solution for trademark image retrieval by combining shape description and feature matching

Authors:
Heng Qi;Keqiu Li;Yanming Shen;Wenyu Qu
Affiliations:
School of Computer Science and Technology, Dalian University of Technology, No. 2, Linggong Road, Dalian 116024, China;School of Computer Science and Technology, Dalian University of Technology, No. 2, Linggong Road, Dalian 116024, China;School of Computer Science and Technology, Dalian University of Technology, No. 2, Linggong Road, Dalian 116024, China;School of Information Science and Technology, Dalian Maritime University, No. 1, Linghai Road, Dalian 116026, China
Venue:
Pattern Recognition
Year:
2010

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Abstract

Trademark image retrieval (TIR), a branch of content-based image retrieval (CBIR), is playing an important role in multimedia information retrieval. This paper proposes an effective solution for TIR by combining shape description and feature matching. We first present an effective shape description method which includes two shape descriptors. Second, we propose an effective feature matching strategy to compute the dissimilarity value between the feature vectors extracted from images. Finally, we combine the shape description method and the feature matching strategy to realize our solution. We conduct a large number of experiments on a standard image set to evaluate our solution and the existing solutions. By comparison of their experimental results, we can see that the proposed solution outperforms existing solutions for the widely used performance metrics.