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Published Articles >> Table of Contents >> Abstract
17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
pp. 927-930
Iris Individuality: A Partial Iris Model
Ruud M. Bolle, IBM Thomas J. Watson Research Center, Hawthorne, NY
Sharath Pankanti, IBM Thomas J. Watson Research Center, Hawthorne, NY
Jonathan H. Connell, IBM Thomas J. Watson Research Center, Hawthorne, NY
Nalini K. Ratha, IBM Thomas J. Watson Research Center, Hawthorne, NY
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334411
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| Abstract |
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Biometrics-based personal authentication systems are becoming popular with increased demand on security. A biometrics is expected to have significant amount of discriminatory information in representing uniqueness of a person. This discriminatory information about the biometric is loosely defined as the individuality. Even though some individuality studies have been carried out for fingerprints, face and handwriting, formal analysis of iris individuality has not been carried out. In this paper, we propose a partial model for iris individuality and show its usefulness in predicting the empirical performance results.
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Citation:
Ruud M. Bolle, Sharath Pankanti, Jonathan H. Connell, Nalini K. Ratha,
"Iris Individuality: A Partial Iris Model,"
icpr,
pp. 927-930,
17th International Conference on Pattern Recognition (ICPR'04) - Volume 2,
2004
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