Biometric Personal Identification Based On Iris Recognition Using Complex Wavelet Transforms

被引：0

作者：

Hariprasath, S. ^{[1
]}

Mohan, V. ^{[1
]}

机构：

[1] Saranathan Coll Engn, Panchapur, Trichy, India

来源：

ICCN: 2008 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING | 2008年

关键词：

Biometrics; Iris pattern; Gobar wavelet; Morlet wavelet; Statistical model;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new iris recognition system based on complex wavelet Transforms is described. In this work iris recognition based on Gabor wavelet and Morlet wavelet are described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet coefficients, which generate an "iris code" of 4096-bits. The statistical parameters like mean and covariance of coefficients of the iris images are also computed. Two different iris codes are compared using exclusively OR comparisons. Also the new iris pattern is compared against the stored pattern after computing the probability of new iris pattern and identification is performed.

引用

页码：451 / 455

页数：5