Effective Iris Recognition System by Optimized Feature Vectors and Classifier

Authors:
Shinyoung Lim;Kwanyong Lee;Okhwan Byeon;Taiyun Kim
Affiliations:
-;-;-;-
Venue:
AIMSA '00 Proceedings of the 9th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
Year:
2000

Citing 3
Cited 0

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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

This paper presents an effective system for recognizing the identity of a living person on the basis of iris patterns that is one of the physiological and biological features with high reliability. To represent the iris pattern efficiently, a new method for optimizing the dimension of feature vectors using wavelet transform is proposed. In order to increase the recognition accuracy of competitive learning algorithm, an efficient initialization of the weight vectors and a new method to determine the winner are also proposed. With all of these novel mechanisms, the experimental results showed that the proposed system could be used for personal identification in an efficient and effective manner.