Iris Localization Algorithm Based on Improved Hough Transform

摘要：

　　Aim at the disadvantages of large computation and low efficiency of directly using Hough transform algorithm, we use the improved iris localization algorithm.First, in order to reduce the number of the pixels of participating in the Hough transform, the images are preprocessed by Canny operator;then isolate the pupil and calculate the iris inner radius by grayscale characteristics and circular geometric features of iris image;finally use the gradient operator to detect the circle and achieve precise positioning of the iris outer radius, which can locate the whole iris.Select the iris images from CASIA database in the experiment, the experimental results show that the algorithm improves the efficiency and precision of positioning, and increases the robustness of detection.

关键词： Iris localization Hough transform Gradient operator Robustness

作者: X.F.LI Y.H.Zhang

作者单位: Tianjin University Renai College, Tianjin, China Samsung Mobile R&D Center China-Tianjin, Tianjin, China

会议类型: 国际会议

会议名称: International Conference on Computational Science and Engineering Applications(CSEA2015)2015计算机科学与工程应用国际会议

会议地点: 三亚

会议语种:英文

页码: 488-495

在线出版日期: 2015-12-26（万方平台首次上网日期，不代表论文的发表时间）