期刊论文

Iris Localization for Visible-light Images Based on Hough Transform

中文

计算机技术与发展

1673-629X

2017

27

5

40-45

10.3969/j.issn.1673-629X.2017.05.009

国家中医药管理局中医药信息学重点学科建设项目 国家中医药管理局中医眼科学重点学科建设项目 国家重点学科中医诊断学开放基金（2013ZYZD08） 2013年湖南省高校创新平台开放基金（13K076）

本校为第一机构

虹膜定位是虹膜识别中的关键步骤,而非理想条件下的可见光虹膜图像定位算法则是近年来的研究热点。为了提高虹膜定位的精度,提出了一种基于霍夫变换的可见光虹膜图像定位算法,分析并确定了先定位虹膜外边界、再定位内边界的顺序,以提高边界定位准确度;针对外边界定位存在的问题,利用可见光虹膜图像颜色分布的先验信息,进行了边缘检测与筛选,提高了定位的速度与准确度;在此基础上,借助瞳孔和虹膜的位置关系指导虹膜内边界定位,进行了高光噪声检测与去除,采用基于距离约束的霍夫变换,排除噪声影响和减少计算时间。实验结果表明,该算法具有较高的定位准确度,并且能处理诸如严重遮挡、成像模糊、区域...

As a crucial step in iris recognition, the iris localization algorithms, especially those dealing with iris images taken in visible- light under non-ideal imaging conditions have received increasing attention recently. A localization algorithm for visible-light iris images has been proposed to enhance the accuracy of iris localization. The strategy of localizing limbic boundary has been determined which is carded out from out boundary to inner verge of iris to promote the accuracy of boundary location. To solve the problem in localizing lim- bic boundary, the prior of color distribution has be...