基于区域生长与Hough变换的虹膜定位方法

快速、准确地定位虹膜是虹膜识别系统的关键。在分析了传统虹膜定位算法的基础上，提出了一种把区域生长与Hough变换相结合的虹膜定位方法，利用区域生长搜索虹膜的内边缘，根据图像的灰度变化规律，搜索位于外边缘的若干个点，利用Hough变换找出外边缘所在位置。实验结果表明，该方法易于实现，减少搜索的盲目性，可提高定位速度。

Iris location method based on region growing and Hough transform

The key of iris recognition is locating iris quickly and accurately. Based on the analysis of the traditional iris localization algorithm, an iris location method which combines region growing and Hough transform is proposed. The inner boundary is searched by using region growing. A number of points at the outer boundary are sought based on the variation of gray. The location of outer boundary is found by the Hough transform. The results show that this algorithm is easy to realize, reduces the blindness of the search process, and improves the speed.