期刊
PATTERN RECOGNITION
卷 42, 期 3, 页码 386-394出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2008.08.019
关键词
Content-based image retrieval; Trademark image retrieval; Feature extraction; Zernike moments; Multimedia database
A trademark image retrieval (TIR) system is proposed in this work to deal with the vast number of trademark images in the trademark registration system. The proposed approach commences with the extraction of edges using the Canny edge detector, performs a shape normalisation procedure, and then extracts the global and local features. The global features capture the gross essence of the shapes while the local features describe the interior details of the trademarks. A two-component feature matching strategy is used to measure the similarity between the query and database images. The performance of the proposed algorithm is compared against four other algorithms. (C) 2008 Elsevier Ltd. All rights reserved.
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