An efficient trademark image retrieval using combination of shape descriptor and salience features

被引：0

作者：

Agarwal, Saurabh ^{[1
]}

Chaturvedi, Nikhil ^{[1
]}

Johari, Punit Kumar ^{[1
]}

机构：

[1] Department of CSE/IT, M.I.T.S, Gwalior, India

来源：

International Journal of Signal Processing, Image Processing and Pattern Recognition | 2014年 / 7卷 / 04期

关键词：

Commerce - Content based retrieval - Trademarks;

D O I：

10.14257/ijsip.2014.7.4.28

中图分类号：

D9 [法律]; DF [法律];

学科分类号：

0301 ;

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. © 2014 SERSC.

引用

页码：295 / 302