Earticle

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

키워드

저자

• Li Lu [ School of Electrical Engineering, Shanghai Dianji University, Shanghai 200240, China ]
• Jialiang Peng [ Information and Network Administration Center, Heilongjiang University, Harbin 150080, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605