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Trademark image retrieval using synthetic features for describing global shape and interior structure
journal contributionposted on 2009-03-01, 00:00 authored by C H Wei, Y Li, W Y Chau, Chang-Tsun LiChang-Tsun Li
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. © 2008 Elsevier Ltd. All rights reserved.
Pagination386 - 394
LocationAmsterdam, The Netherlands
Publication classificationC1.1 Refereed article in a scholarly journal
Content-based image retrievalTrademark image retrievalFeature extractionZernike momentsMultimedia databaseScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicComputer ScienceEngineeringSIMILARITY RETRIEVALInformation SystemsArtificial Intelligence and Image Processing