An Efficient Iris Segmentation Method for Non-Ideal Iris Images
Xiao Wen Xu · Advanced materials research · 2013
Segmenting the non-ideal iris images accurately is a main problem for iris recognition, due to the impact of the eyelids, eyelashes and deformation. The paper presents an iris segmentation method based on an improved level set. Firstly, we used gray projection algorithm to locate the pupil. Secondly, we applied the least square fitting algorithm to estimate the boundary between the pupil and the iris. Finally, we used the level set method to accurately segment the iris. Experimental results demonstrate the segmentation accuracy for outer boundary of the iris is 98.59%. The method presented in this paper is superior to Daugman method and Hough transform algorithm in iris segmentation, especially for non-ideal iris images.