Wei, Chia-Hung, Li, Yue, Chau, Wing-Yin and Li, Chang-Tsun. (2009) Trademark image retrieval using synthetic features for describing global shape and interior structure. Pattern Recognition, Vol.42 (No.3). pp. 386-394. ISSN 0031-3203

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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. (C) 2008 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Content-based image retrieval, Pattern recognition systems, Algorithms, Trademarks -- Classification
Journal or Publication Title:	Pattern Recognition
Publisher:	Pergamon-Elsevier Science Ltd.
ISSN:	0031-3203
Date:	March 2009
Volume:	Vol.42
Number:	No.3
Number of Pages:	9
Page Range:	pp. 386-394
Identification Number:	10.1016/j.patcog.2008.08.019
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/28899

Data sourced from Thomson Reuters' Web of Knowledge

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