On improvement for normalizing iris region for a ubiquitous computing

Authors:
Bong Jo Joung;Chin Hyun Chung;Key Seo Lee;Wha Young Yim;Sang Hyo Lee
Affiliations:
Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Year:
2005

Citing 3
Cited 0

Biometrics: advanced identity verification

Biometrics: advanced identity verification
High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing

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Abstract

Iris patterns are believed to be an important class of biometrics suitable for subject verification and identification applications. An efficient approach for iris recognition through an iris region normalization is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. From this evaluation, we obtain iris code of small size and very high recognition rate. This effort is intended to enable a human authentication in small embedded systems, such as an integrated circuit card (smart cards).