Human Iris Segmentation for Iris Recognition in Unconstrained Environments
This paper presents a human iris recognition system in unconstrained environments in which an effective method is proposed for localization of iris inner and outer boundaries. In this method, after pre-processing stage, circular Hough transform was utilized for localizing circular area of iris inner and outer boundaries. Also, through applying linear Hough transform, localization of boundaries between upper and lower eyelids occluding iris has been performed. In comparison with available iris segmentation methods, not only has the proposed method a relatively higher precision, but also compares with popular available methods in terms of processing time. Experimental results on images available in CASIA database show that the proposed method has an accuracy rate of 97.50%.