A new approach for pupil detection in iris recognition system

Recently, Personal Identification System becomes a key factor for safety and secures environments. Iris segmentation step is one of the most important steps that plays a vital role in the accuracy and efficiency of Personal Identification System. Pupil detection and isolation is the foremost task in this step. Many researches had proposed several methods to detect the pupil boundary. Some of those methods detect the pupil by an estimated threshold or by search for the value of the first dark region, and consider it as an estimated threshold. But, the dark intensities of pupil are not fixed due to the coming lighting. Other iris segmentation methods which are used for iris recognition technology consider the boundary of pupil is a circle. But, the boundary of pupil is not quite circle and a small error in detecting this boundary will lead to lose some information surrounding the pupil. Another problem that makes most of the iris segmentation method fail to detect the pupil boundary is the head rotation or the eye rotation. As a result of these problems, the iris recognition system will be inefficient and inaccurate. In this paper a new method has developed to detect the boundary of pupil based on minimum and mean intensity of pupil. This method is able to detect and isolate pupil with high accuracy results approximately 100% and reduce time consuming.