A Robust Iris Localization Model Based on Phase Congruency and Least Trimmed Squares Estimation

Authors:
Lili Pan;Mei Xie;Tao Zheng;Jianli Ren
Affiliations:
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China;School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China;School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China;School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

Iris localization is a crucial step in iris recognition. The previous proposed algorithms perform unsatisfactorily due to the disturbing of eyelash and variation of image brightness. To solve these problems, we proposed a robust iris position estimation algorithm based on phase congruency analysis and LTSE (Least Trimmed Squares Estimation). Through using the robust regression method to fit iris edge points we can solve the eyelash occlusion problem at a certain extent. The experimental results demonstrate the validity of this algorithm.