一种基于人眼图像灰度分布特征的虹膜定位算法

提出了一种基于人眼图像灰度分布特征的虹膜定位算法。该算法不必检测到所有的虹膜边界点，只需要分别在虹膜的内外边界上各检测到3个点即可。然后利用落在同一个边界上的3个点，根据“非共线的3点确定1个圆”的几何原理，计算出边界圆的参数，从而确定虹膜内外边界。对CASIA虹膜图像数据库进行了大量的实验，结果表明，该算法与经典的虹膜定位算法（如Daugman的算法和边缘检测算子结合Hough变换的算法）相比，定位结果更加准确，定位速度大幅度提高。

Iris Localization Algorithm Based on Gray Distribution Features of Eye Images

We propose an iris localization algorithm based on gray distribution features of eye images.In this algorithm,we don't need to find all of the iris boundary points,and we should detect only three points on the iris inner and outer boundaries respectively.Then utilizing three points on the same boundary,we can calculate the circle parameters.We have done a large number of experiments on the CASIA iris image database,and the experimental results demonstrate that the localization results of proposed algorithm are more accurate and rapid than any other classical algorithms,such as Daugman's algorithm and the algorithm of edge-detection operator combining with Hough transform.