西南交通大学学报（英文版）2005，Vol.13Issue(2)：119-124,6.
Iris Localization Based on Edge Searching Strategies
Iris Localization Based on Edge Searching Strategies
摘要
Abstract
An iris localization scheme based on edge searching strategies is presented. First, the edge detection operator Laplacian-ofGaussian (LoG) is used to iris original image to search its inner boundary. Then, a circle detection operator is introduced to locate the outer boundary and its center, which is invariant of translation, rotation and scale. Finally, the method of curve fitting is developed in localization of eyelid. The performance of the proposed method is tested with 756 iris images from 108 different classes in CASIA Iris Database and compared with the conventional Hough transform method. The experimental results show that without loss of localization accuracy, the proposed iris localization algorithm is apparently faster than Hough transform.关键词
Iris localization/Hough transform/Edge detectionKey words
Iris localization/Hough transform/Edge detection分类
信息技术与安全科学引用本文复制引用
Wang Yong,Han Jiuqiang..Iris Localization Based on Edge Searching Strategies[J].西南交通大学学报（英文版）,2005,13(2):119-124,6.基金项目
The National Natural Science Foundation of China ( No. 60174030). （ No. 60174030）
