Iris recognition for iris tilted in depth

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

Volumn 2756, Issue , 2003, Pages 530-539

  Chun, Chun Nam ^a   Chung, Ronald ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

BIOMETRIC RECOGNITION TECHNOLOGY; IMAGE DATA; IMAGE MODELING; IRIS RECOGNITION; OBLIQUE ANGLES; RADIALLY SYMMETRIC; REAL IMAGE DATA; SECURITY AND SURVEILLANCES;

BIOMETRICS;

EID: 35248841515     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45179-2_65     Document Type: Article

References (5)

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2. John G. Daugman. High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 11, pp.1148-1161, Nov. 1993.
3. P. W. Hallinan. Recognizing human eyes. Geometric Methods Comput. Vision, Vol. 1570, pp. 214-226, 1991.
4. Clark F. Olson. Constrained Hough Transforms for Curve Detection. Computer Vision and Image Understanding, Vol. 73, No. 3, pp. 329-345, March, 1999.
5. Richard P. Wildes. Iris Recognition: An Emerging Biometric Technology. Proceedings of the IEEE, Vol. 85, No. 9, pp. 1348-1363, September, 1997.