원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.8 No.4
2014.07
pp.265-272
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
To improve the accuracy of iris recognition system, we propose an efficient algorithm for iris feature extraction based on 2D Haar wavelet. Firstly, the iris image is decomposed by the 2D Haar wavelet three times, and then a 375-bit iris code is obtained by quantizing all the high-frequency coefficients at third lever. Finally we use similarity degree function as matching scheme. Experimental results on CASIA iris database show that our algorithm has the encouraging correct recognition rate (CRR) which is only 99.18%, accompanying with very low equal error rate (EER) 0.54%.
목차
Abstract
1. Introduction
2. Iris Image Preprocessing
3. Feature Extraction and Matching
A. Image Analyses by Using 2-D Discrete Wavelet Transform
B. Feature Extraction and Encoding
C. Matching
4. EXPERIMENTAL RESULTS
A. Performance Evaluation of the Proposed Method
B. Comparison with Existing Methods
5. Discussions
6. Conclusion
References
1. Introduction
2. Iris Image Preprocessing
3. Feature Extraction and Matching
A. Image Analyses by Using 2-D Discrete Wavelet Transform
B. Feature Extraction and Encoding
C. Matching
4. EXPERIMENTAL RESULTS
A. Performance Evaluation of the Proposed Method
B. Comparison with Existing Methods
5. Discussions
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보