원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.3
2014.06
pp.223-236
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we propose a new finger multi-biometric cryptosystem using feature-level fusion to simultaneously protect multiple templates of fingerprint, finger vein, finger knuckle print and finger shape traits as a single secure sketch. We theoretically analyze the feature-level fusion for finger multi-biometric cryptosystem with respect to their impact on security and recognition accuracy. The comparative experimental results ascertain that finger multi-biometric cryptosystem outperforms the uni-biometric counterparts in terms of verification performance and template security.
목차
Abstract
1. Introduction
2. Proposed Finger Multi-Biometric Cryptosystem based on Feature-Level Fusion
2.1. Biometric Cryptosystem using Fuzzy Commitment Scheme
2.2. Finger Multi-biometric Cryptosystem based on Fuzzy Commitment Scheme
3. Security Analysis of the Proposed Approach
4. Experimental Results and Analysis
4.1 Experiments Setup
4.2. Performance Evaluations
6. Conclusion
Acknowledgements
References
1. Introduction
2. Proposed Finger Multi-Biometric Cryptosystem based on Feature-Level Fusion
2.1. Biometric Cryptosystem using Fuzzy Commitment Scheme
2.2. Finger Multi-biometric Cryptosystem based on Fuzzy Commitment Scheme
3. Security Analysis of the Proposed Approach
4. Experimental Results and Analysis
4.1 Experiments Setup
4.2. Performance Evaluations
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보