원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.11 No.11
2016.11
pp.155-168
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we combine two moments of Hu and Zernike to try improve the recognition accuracy. And we apply PCA on the Zernike moments to speedup of recognition without degrading the recognition accuracy. We compare the recognition performance between Hu and Zernike moments. Also we show the recognition accuracy of new methods with two modified features. We evaluate the recognition accuracy with two datasets of hands and digits. For hand recognition, we localize hands from hand candidates with improved method against our preliminary study [2].
목차
Abstract
1. Introduction
2. Moment Invariants
3. Recognition of Hand Shapes
3.1. Extraction of Hand Regions
3.2. Classification of Hand Shapes
3.3. Classification of Digits
4. Experimental Results
5. Conclusion
References
1. Introduction
2. Moment Invariants
3. Recognition of Hand Shapes
3.1. Extraction of Hand Regions
3.2. Classification of Hand Shapes
3.3. Classification of Digits
4. Experimental Results
5. Conclusion
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보