A fast iris identification algorithm based on local piece features
Xu Lu · Journal of Optoelectronics·laser · 2009
A new algorithm of iris identification is proposed.First,the iris gray-scale image is divided into several sub images,and then these sub images are equally divided into several sub regions,The central coordinate of every sub region which contains the maximum gray-scale sum of all points in this region will be considered as the feature coordinate of every sub image,And these coordinates will build the feature matrix of the iris image.At last,the recognition is by matching the feature matrix in space directly.The paper describes the methods to find the sub images and sub regions as well as the influences of the size of usefuliris region,where there is no disturbance of sheltering.on the recognition when the eyes naturally open.It over courves the prerious limitation brought by artificially regulating the size of sub made and sub region and selecting a fixed size of extract the local the experimental results haved proved that:1) This method can perform recognition when there is only 50% or more iris region with no shelter when the eyes open naturally; 2) The algorithm has very fast operation speed and very high fault-tolerant ability for the rotating distortion less than 7°around caused by the image taken.