An Iris Location Method Based on Gray Distribution Features of Eyes
Jingneng Fu · Optics & Optoelectronic Technology · 2010
Iris location is a kernel procession in an iris recognition system. The performance of the iris recognition system is determined by the speed and accuracy of the iris location decide. An iris location method based on gray distribution features of eyes is presented. This method uses morphologic algorithm to calculate the pseudo-centre of pupil, then divides the area around pupil to several annular region to calculate the gray mean to find the maximal difference alternately to decide the pseudo - radius of the outer boundary, at last uses layered clustering algorithm to accurately locate the two edges. The experimental results demonstrate that the location results of proposed algorithm are more accurate and rapid than any other classical algorithms such as Wildes' algorithm and Daugman's algorithm.