针对利用Hough变换实现虹 膜定位时遇到的一些问题提出了相应的解决方案。为减少Hough变换的计算量,本算法采用了"先采样后变换"、"由粗到精"的方法;为提高可靠性、减小噪 声影响,算法利用了虹膜内外边界之间的耦合关系以缩小在边界参数空间内的搜索范围。在MAT-LAB软件环境下的试验表明,算法取得了良好的效果。(Aiming at some problems encountered in iris location using Hough transform, the corresponding solutions are put forward. In order to reduce the computation of Hough transform, this algorithm uses the "first sampling switch" and "coarse to fine"; in order to improve the reliability and reduce the influence of noise. The algorithm makes use of the coupling relationship between the iris boundaries to narrow the search area in the boundary of parameter space. Experiments in MAT-LAB software show that the algorithm has achieved good results.)