원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.4
2014.08
pp.295-302
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
1.1. Shape Descriptor
2. Proposed Methodology
2.1. Prompt Edge Detection
2.2. Corner Point Detection
2.3. Threshold Function
3. Proposed Algorithm
4. Experimental Results
4.1. Trademark Dataset
4.2. Experiment Setup
5. Conclusion and Future Work
Acknowledgements
References
1. Introduction
1.1. Shape Descriptor
2. Proposed Methodology
2.1. Prompt Edge Detection
2.2. Corner Point Detection
2.3. Threshold Function
3. Proposed Algorithm
4. Experimental Results
4.1. Trademark Dataset
4.2. Experiment Setup
5. Conclusion and Future Work
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보