关键词: 分块搜索, 虹膜定位, hough圆检测, 卷积运算, 灰度直方图

Abstract: Aiming at the problem that the traditional iris localization algorithms are not stable and low robustness, iris location based on partitioning search is proposed. Firstly, according to the difference of the gray scale of iris image, iris image is transformed into binary image, and inner circle is rough positioned by using the hough circle detection method based on the edge detection, then through using partitioning search of binary image, the inner circle is accurately located. Using convolution operation to rough locate the iris outer circle, and then partitioning search is used for original image, the gray scale change in the gray scale histogram is observed to precise position the iris outer circle. The obtained iris and the iris got from traditional iris localization algorithms are processed by the same iris recognition algorithm. The result shows that this algorithm has better effect on image recognition and has good robustness.

Key words: partitioning search, iris location, hough circle detection, convolution operation, gray scale histogram