Improved techniques for an iris recognition system with high performance

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2256, Issue , 2001, Pages 177-188

  Kee, Gyundo ^a   Byun, Yungcheol ^b   Lee, Kwanyong ^c   Lee, Yillbyung ^a  

^a Yonsei University   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^c Korea Cyber University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMETRICS; HOUGH TRANSFORMS; IMAGE ACQUISITION; PATTERN MATCHING; PATTERN RECOGNITION SYSTEMS; WAVELET TRANSFORMS;

COMPUTATIONALLY EFFICIENT; COORDINATION SYSTEMS; ELASTIC BODY MODELS; FEATURE EXTRACTION METHODS; IMPROVED TECHNIQUES; IRIS RECOGNITION SYSTEMS; MULTI-RESOLUTION WAVELET TRANSFORM; TRANSFORM METHODS;

FEATURE EXTRACTION;

EID: 34547529993     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45656-2_16     Document Type: Conference Paper

References (9)

1. John G. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 15(11), pp. 1148-1161, 1993.
2. Wildes, R.P., “Iris Recognition: An Emerging Biometric Technology”, Proc. of the IEEE, 85(9), pp. 1348-1363, 1997.
3. Boles, W.W., Boashash, B., “A Human Identification Technique Using Images of the Iris and Wavelet Transform”, IEEE Trans. on Signal Processing, 46(4), pp. 1185-1188, 1998.
4. Williams, G.O., “Iris Recognition Technology”, IEEE Aerospace and Electronics Systems Magazine, 12(4), pp. 23-29, 1997.
5. Dimitrios Ioammou, Walter Huda, Andrew F. Laine, “Circle recognition through a 2D Hough Transform and radius histogramming”, Image and Vision Computing, 17, pp.15-26, 1999.
6. Stephane. G. Mallet., “A Theory for Multiresolution Signal Decomposition: The Wavelet Representation”, IEEE Trans. Pattern Recognition and Machine Intelligence, 11(4), pp.674-693, 1989.
7. Stephane. G. Mallet., “Wavelet for a Vision”, Proceedings of the IEEE, 84(4), pp.604-614, 1996.
8. I. Daubechies., “Orthonormal bases of compactly supported wavelets”, Comm. Pure Appl. Math.,41, pp. 909-996, 1988.
9. D. Randall Wilson, Tony R. Martinez, “Improved Heterogeneous Distance Functions”, Journal of Artificial Intelligence Research, 6, pp.1-34, 1997