A Fast Iris Localization Algorithm Based on Line Scanning

GUO Rong-yan; HU Xue-hui

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A Fast Iris Localization Algorithm Based on Line Scanning

更新时间：2026-09-04

- A Fast Iris Localization Algorithm Based on Line Scanning
- Vol. 27, Issue 6, Pages: 105-108(2010)
- 作者机构：
  
  周口师范学院机构物理与电子工程系,河南,周口,466000
- 作者简介：
- 基金信息：
- DOI：
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- Published：2010
- 稿件说明：
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郭荣艳, 胡雪惠. 一种基于直线行扫描的虹膜快速定位算法[J]. 微电子学与计算机, 2010, 27(6): 105-108,113.

GUO Rong-yan, HU Xue-hui. A Fast Iris Localization Algorithm Based on Line Scanning[J]. 2010, 27(6): 105-108.
郭荣艳, 胡雪惠. 一种基于直线行扫描的虹膜快速定位算法[J]. 微电子学与计算机, 2010, 27(6): 105-108,113. DOI：

GUO Rong-yan, HU Xue-hui. A Fast Iris Localization Algorithm Based on Line Scanning[J]. 2010, 27(6): 105-108. DOI：

摘要

为提高虹膜的定位速度

提出一种粗定位与精定位相结合的虹膜快速定位算法.首先

利用阈值对人眼图像进行分割提取瞳孔

对二值化瞳孔区域进行形态学开元算去除瞳孔区域外睫毛等噪声点;然后对瞳孔区域进行直线行扫描提取瞳孔边界点

并利用边界点进行最小二乘拟合粗略定位内边缘;最后利用圆梯度算子对虹膜内外边缘进行精确定位.对CASIA (version 1.0)虹膜数据库中100多幅虹膜图像进行定位实验

所提算法的平均耗费时间为1.38s

圆梯度算子耗时9.8s

Hough变换方法耗时14.3s.定位结果表明文中算法对不同质量的虹膜图像定位速度快

精度高

鲁棒性强.

Abstract

To improve the speed of localization

a fast iris localization algorithm combined a coarse localization and a fine localization.Firstly

pupil area is segmented from eye image by threshold

removing eyelash noise etc from binary pupil area by morphological operation.Then extracting pupil boundary point by line scanning to the pupil area

and using the least-square fitting to determine the inner boundary.Finally

using the circle gradients operator to localize the inner and outer iris boundary.Average localization time cost by the proposed algorithm on more than 100 iris images from CASIA (Version 1.0) is 1.38s

circle gradient operator cost 9.8s

Hough transform method cost 14.3 s.Experiment results showed that the proposed algorithm has a high performance on speed and precision

also has strong robustness for different quality iris image.

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