Key extraction from the biometric is a new direction of encryption, which solves the safety problem of key a certain extent. Iris has rich textures, and its generated signature is longer than other biometric, and has unique advantages in term of key extraction. The wavelet packet is used to decompose effective iris region into the three layers. The third diagonal high frequency coefficient is extracted as the iris feature, and the encryption key was randomly generated from iris feature to meet the encryption demand. The United States NIST encryption standard is adopted to test the extracted key, and the experimental results show that through the 7 seed test of NIST, the generated key meets the security of encryption algorithm needs.
목차
Abstract 1. Introduction 2. Iris Recognition System Principle 3. Wavelet Packet Decomposition Principle 4. Iris Feature Extraction based on Wavelet Packet Decomposition 4.1 Iris Feature Extraction 4.2 Key Generation 5. Results and Analysis of Experiment 6. Conclusion References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.7