원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.5
2014.09
pp.113-120
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Ear is a new class of relatively stable biometrics which is not affected by facial expressions, cosmetics, eye glasses and aging effects. Ear detection is the first step of an ear recognition system, to use ear biometrics for human identification. In this paper, an oval shape detection based approach is presented for ear detection from 2D profile face images. The correctness of the detected ear is verified using support vector machine tool. The experimental results prove the effectiveness of the presented method.
목차
Abstract
1. Introduction
2. Proposed Method
2.1 Skin Segmentation
2.2 Nose Tip Detection
2.3. Extraction of Sector of Face Containing Ear
2.4. Edge Detection and Connected Component Labeling
2.5. Oval Shape Detection
3. Ear Verification Using SVM Tool
4. Experimental Results
4.1 Data Acquisition
4.2. Ear Detection Results
4.3 Ear Verification Results
5. Conclusion
Reference[1] B. V. Srinivasan
1. Introduction
2. Proposed Method
2.1 Skin Segmentation
2.2 Nose Tip Detection
2.3. Extraction of Sector of Face Containing Ear
2.4. Edge Detection and Connected Component Labeling
2.5. Oval Shape Detection
3. Ear Verification Using SVM Tool
4. Experimental Results
4.1 Data Acquisition
4.2. Ear Detection Results
4.3 Ear Verification Results
5. Conclusion
Reference[1] B. V. Srinivasan
저자정보
참고문헌
자료제공 : 네이버학술정보