Iris-based biometric recognition using dyadic wavelet transform

被引:65
作者
Sanchez-Avila, C [1 ]
Sanchez-Reillo, R
de Martin-Roche, D
机构
[1] Univ Politecn Madrid, ETSI Telecomunicac, Dpto Matemat Aplicada, E-28040 Madrid, Spain
[2] Univ Carlos III Madrid, Dpto Tecnol Elect, Grp Microelect, Edificio Betancourt, E-28911 Leganes, Madrid, Spain
[3] Ericsson Espana SA, Dept Software Engn, Madrid, Spain
关键词
D O I
10.1109/MAES.2002.1044509
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The iris-based biometric recognition using dyadic wavelet transform was presented. The procedure to obtain an iris signature of 256 bits, as well as the feature extraction block and the verification system was described. An algorithm for extracting unique features from iris signatures was also introduced. It was shown that the system can achieve high rates of security.
引用
收藏
页码:3 / 6
页数:4
相关论文
共 10 条
[1]  
[Anonymous], 1999, Biometrics: personal identification in networked society
[2]   A human identification technique using images of the iris and wavelet transform [J].
Boles, WW ;
Boashash, B .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (04) :1185-1188
[3]  
Daugman J, 2001, 35TH ANNUAL 2001 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS, P254, DOI 10.1109/CCST.2001.962841
[4]   HIGH CONFIDENCE VISUAL RECOGNITION OF PERSONS BY A TEST OF STATISTICAL INDEPENDENCE [J].
DAUGMAN, JG .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1993, 15 (11) :1148-1161
[5]  
Mallat, 1999, WAVELET TOUR SIGNAL
[6]   CHARACTERIZATION OF SIGNALS FROM MULTISCALE EDGES [J].
MALLAT, S ;
ZHONG, S .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (07) :710-732
[7]   ZERO-CROSSINGS OF A WAVELET TRANSFORM [J].
MALLAT, S .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1991, 37 (04) :1019-1033
[8]  
SANCHEZREILLO R, 2000, P IPMU 2000 8 INT C, P653
[9]  
Tieng QM, 1997, IEEE T PATTERN ANAL, V19, P910, DOI 10.1109/34.608294
[10]  
Wildes R. P., 1994, Proceedings of the Second IEEE Workshop on Applications of Computer Vision (Cat. No.94TH06742), P121, DOI 10.1109/ACV.1994.341298