Three-phase Pupil Localization Method in Non-ideal Eye Images
Pengfei Shi · 东华大学学报：英文版 · 2008
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 non-ideal eye images of various qualities.