Trademark image retrieval using synthetic features for describing global shape and interior structure
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 0031-3203Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.patcog.2008.08.019
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.|
|Number of Pages:||9|
|Page Range:||pp. 386-394|
|Access rights to Published version:||Restricted or Subscription Access|
Actions (login required)