Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
On estimating performance indices for biometric identification
Pattern Recognition
Using fragile bit coincidence to improve iris recognition
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
An efficient, two-stage iris recognition system
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
IEEE Transactions on Image Processing
GESLIC: genetic and evolutionary-based short-length iris codes
Proceedings of the 49th Annual Southeast Regional Conference
Consistency analysis on orientation features for fast and accurate palmprint identification
Information Sciences: an International Journal
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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.