This paper presents a comparative analysis of the performance of three estimation algorithms: Expectation Maximization (EM), Greedy EM Algorithm (GEM) and Figueiredo-Jain Algorithm (FJ) - based on the Gaussian mixture models (GMMs) for a Dynamic Biometrics Face Authentication Systems. An automated biometric systems for human identification measure a “signature” of the human body, compare the resulting characteristic to a database, and render an application dependent decision. A Dynamic Face From eNTERFACE 2005 Database is used and Simulation shows that finite mixture modal (GMM) is quite effective in modelling the genuine and impostor score densities. Hence, the still face information scheme based on dynamic biometrics face is robust and could be explored for identity authentication.
목차
Abstract 1. Introduction 2. Biometric Face Extraction and Recognition 2.1. Face Detection 2.2 Face Verification: 3. Estimation of Match Score Densities 4. Experiments and Results 5. Conclusions References
키워드
Biometric AuthenticationFace RecognitionGaussian Mixture ModalExpectation MaximizationGreedy Expectation Maximization and Figueiredo-Jain
저자
Soltane Mohamed [ Electrical Engineering & Computing Department, Faculty of Sciences & Technology, DOCTOR YAHIA FARES UNIVERSITY OF MEDEA, 26000 MEDEA, ALGERIA & Laboratoire des Systèmes Électroniques Avancées (LSEA) ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
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 Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.11