Paper Info
Title
Content-based trademark retrieval system using a visually salient feature
Abstract
An ever increasing number of registered trademarks has created greater demand for an automatic trademark retrieval system. We present a method for such a system based on the image content using shape features. Zernike or pseudo-Zernike moments of the image are employed as a feature set. To retrieve similar shapes, we take into account visually salient features that dominantly affect the global shape of the trademarks and ignore their minor detail. Experimental results on a database of 3,000 trademark images demonstrate that the proposed method retrieves visually similar trademarks which agree well with human perception.
Year
DOI
Venue
1998
10.1016/S0262-8856(98)00060-2
Image Vision Comput.
Keywords
Field
DocType
content-based,image retrieval,trademark,zernike moment,image database
Computer vision,Pattern recognition,Image processing,Image retrieval,Image content,Trademark,Zernike polynomials,Feature set,Artificial intelligence,Image database,Mathematics,Salient
Journal
Volume
Issue
ISSN
16
12
Image and Vision Computing
ISBN
Citations 
PageRank 
0-8186-7822-4
75
9.93
References 
Authors
15
2
Name
Order
Citations
PageRank
Yong-sung Kim131028.97
Whoi-Yul Kim2759.93