On optimizing feature vectors from efficient iris region normalization for a ubiquitous computing

Authors:
Bong Jo Joung;Woongjae Lee
Affiliations:
Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Division of Information and Communication Eng., Seoul Women's University, Seoul, Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Year:
2005

Citing 4
Cited 0

Biometrics: advanced identity verification

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

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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 is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. And then a Haar wavelet transform is used to extract features from iris region of normalized. 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).