A new scheme of signature extraction for iris authentication

TL;DR

This paper introduces a new iris signature extraction scheme utilizing histogram analysis, Hough transformation, Gabor wavelets, and Hamming distance for improved iris authentication accuracy.

Contribution

The paper presents a novel combination of image processing techniques for iris feature extraction and authentication in biometric security.

Findings

Effective iris feature extraction using histogram and Hough transforms

Successful encoding of iris patterns with 2D Gabor wavelets

Accurate authentication via Hamming distance

Abstract

Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment. Iris recognition is proposed in this report. We describe some methods, the first one is based on grey level histogram to extract the pupil, the second is based on elliptic and parabolic HOUGH transformation to determinate the edge of iris, upper and lower eyelids, the third we used 2D Gabor Wavelets to encode the iris and finally we used the Hamming distance for authentication.