Iris recognition using LVQ neural network

Authors:
Seongwon Cho;Jaemin Kim
Affiliations:
School of Electronic and Electrical Engineering, Hongik University, Seoul, Korea;School of Electronic and Electrical Engineering, Hongik University, Seoul, Korea
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

In this paper, we discuss human iris recognition, which is based on iris localization, feature extraction, and classification. The features for iris recognition are extracted from the segmented iris pattern using two-dimensional (2-D) wavelet transform based on Haar wavelet. We present an efficient initialization method of the weight vectors and a new method to determine the winner in LVQ neural network. The proposed methods have more accuracy than the conventional techniques.