东华大学学报（英文版）2008，Vol.25Issue(1)：101-105,5.
Three-phase Pupil Localization Method in Non-ideal Eye Images
Three-phase Pupil Localization Method in Non-ideal Eye Images
摘要
Abstract
Pupil localization is a very important preprocessing step in many real applications. Accurate and robust pupil localization in non-ideal eye images is a challenging task. A detailed method of pupil localization in non-ideal eye images is proposed. This method is implemented in three main phases: first, segment the rough pupil region based on Gaussian Mixture Model; then modify the rough segmentation result using morphological method to minimize the influence of some disturbing factors; last estimate the pupil parameters based on minimizing the least square error. The proposed method is first tested on CASIA iris image dataset, and then on our self-captured iris dataset which contains a wider variety of iris images. Experiments show that the proposed method can perform well for nonideal eye images of various qualities.关键词
biometrics/ pupil localization CLCKey words
biometrics/ pupil localization CLC分类
信息技术与安全科学引用本文复制引用
YUAN Xiao-yan,SHI Peng-fei..Three-phase Pupil Localization Method in Non-ideal Eye Images[J].东华大学学报（英文版）,2008,25(1):101-105,5.基金项目
National Natural Science Foundation (NO. 60427002) （NO. 60427002）
863 Project (NO. 2006AA01Z119) (Partly support) （NO. 2006AA01Z119）
