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An Evaluative Study on the Content-based Trademark Image Retrieval System based on Self Organizing Map(SOM) Algorithm

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2007, 24(3), pp.321~341
  • DOI : 10.3743/KOSIM.2007.24.3.321
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 22, 2007
  • Accepted : September 11, 2007
  • Published : September 30, 2007

Woojin Paik 1 Jae June Lee 2 Eunmi Ham 1 Moon Sun Shin 3 Minki Shin 1 Euigon Lee 4

1건국대학교
2인하대학교
3안양대학교
4연세대학교

Accredited

ABSTRACT

It will be possible to prevent the infringement of the trademarks and the insueing disputes regarding the originality of the trademarks by using an efficient content-based trademark image retrieval system. In this paper, we describe a content-based image retrieval system using the Self Organizing Map(SOM) algorithm. The SOM algorithm utilizes the visual features, which were derived from the gray histogram representation of the images. In addition, we made the objective effectiveness evaluation possible by coming up with a quantitative measure to gauge the effectiveness of the content-based image retrieval system.

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