Trademark image retrieval using synthetic features for describing global shape and interior structure

Chia Hung Wei, Yue Li, Wing Yin Chau, Chang Tsun Li

    Research output: Contribution to journalArticlepeer-review

    146 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)386-394
    Number of pages9
    JournalPattern Recognition
    Volume42
    Issue number3
    DOIs
    Publication statusPublished - Mar 2009

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