Analysis of Iris Images for Iris Recognition System
In this paper, the authors propose an iris recognition algorithm based on iris images. It consists of five major steps i.e., iris acquisition, localization, normalization, feature extraction and matching. The inner pupil boundary is localized using circular hough transformation. The technique performs better in the case of occlusions and images muddled by artifacts such as shadows and noise. The outer iris boundary is detected by circular summation of intensity approach from the determined pupil center and radius.