一种快速虹膜定位算法

Fast iris location algorithm

针对虹膜内边缘易变形,外边界边缘模糊从而虹膜定位困难等问题,提出了一种快速虹膜定位算法。基于虹膜边缘图像的几何特征,依据偏差平方和定位虹膜内边缘;利用图像灰度曲线得到模糊外边缘的边缘点,根据圆的相交弦性质以及投票策略确定虹膜外边缘的圆心,从而快速定位虹膜外边缘。实验结果表明,该方法提高了虹膜定位的速度以及定位的稳定性,减少了传统虹膜定位算法中搜索的盲目性。

A fast iris location algorithm is proposed to aim at the problems such as inner edge deformation in iris and blurring outer edge leading to difficult iris location. It determines iris interior boundary according to sum of deviation. After obtained points on the blurring iris exterior boundary from computed image grey scale curves for several rows, pairs of chords and voting scheme are used to search its center, which result in fast location of the outer boundary. Experimental results show that the location speed and stability for iris can be improved by this method. The searching blindness of traditional iris location algorithm is reduced.