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  • 标题:An Efficient Trademark Image Retrieval using Combination of Shape Descriptor and Salience Features
  • 本地全文:下载
  • 作者:Saurabh Agarwal ; Nikhil Chaturvedi ; Punit Kumar Johari
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:4
  • 页码:295-302
  • DOI:10.14257/ijsip.2014.7.4.28
  • 出版社:SERSC
  • 摘要:Trademark carries the prestigious values for a particular company so it is very important to distinguish it from the similar context trademark. In this research paper, we propose an efficient Trademark Image Retrieval (TIR) model which is a branch of Content Based Image Retrieval (CBIR). In the proposed system we extract the edge point of a particular image and after this the edge point are evaluated to find the corner pixel from it. For the performance evaluation of the system we use the most commonly used method namely precision-recall. From the experimental result we conclude that the TIR based on shape feature perform better and gives satisfactory result.
  • 关键词:Content Based Image Retrieval; Trademark Image Retrieval; Edge ; Detection; Corner Point Detection
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