Iris recognition using LVQ neural network

被引：0

作者：

Cho, Seongwon ^{[1
]}

Kim, Jaemin ^{[1
]}

机构：

[1] Hongik Univ, Sch Elect & Elect Engn, Seoul 121791, South Korea

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：26 / 33

页数：8

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