计算机工程与应用Issue(24)：172-174,199,4.DOI:10.3778/j.issn.1002-8331.1203-0698
采用有向梯度与RANSAC的虹膜定位算法
Iris location algorithm using orientation gradient and Random Sample Consensus
摘要
Abstract
For the condition of spots on iris image, this paper proposes an iris location algorithm based on orientation gradient and Random Sample Consensus(RANSAC). It extracts inner edge points of iris by orientation gradient according to some points in the pupil, and then locates the inner edge with RANSAC. The iris image is down-sampled. Two circles are fitted by circle differ-ential operator on the left and right side of the pupil, and then the two circles are combined to one circle. It locates the outer edge of iris by using the parameters of the circle fast and precisely. The experimental results show that the proposed algorithm is better than traditional localization algorithms in the aspect of correct rate, speed and robustness.关键词
虹膜识别/虹膜定位/有向梯度/随机抽样一致性Key words
iris recognition/iris location/orientation gradient/Random Sample Consensus(RANSAC)分类
信息技术与安全科学引用本文复制引用
贺遵亮,蔡碧野,李峰,章登勇..采用有向梯度与RANSAC的虹膜定位算法[J].计算机工程与应用,2013,(24):172-174,199,4.基金项目
国家自然科学基金（No.60973113）；湖南省自然科学基金（No.09JJ3120）；湖南省教育厅项目（No.08C103，No.11C0036）；长沙市科技计划重点项目（No.K1104022-11）。 （）
