一种有效抑制睫毛干扰的虹膜定位算法

唐荣年; 张新曼; 韩九强

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一种有效抑制睫毛干扰的虹膜定位算法

专题研究 | 更新时间：2025-12-08

- 一种有效抑制睫毛干扰的虹膜定位算法
- An Effective Algorithm Suppressing Eyelash Interference for Iris Location
- 西安交通大学学报 2007年41卷第10期页码：1175-1178
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2007-03-27. 作者简介: 唐荣年(1978～),男,博士生;韩九强(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(60502021);教育部高等学校博士学科点专项科研基金资助项目(20050698025)
- DOI：
  中图分类号： TP391
- 网络首发：2007-10-10，
  
  纸质出版：2007
- 稿件说明：
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唐荣年, 张新曼, 韩九强. 一种有效抑制睫毛干扰的虹膜定位算法[J]. 西安交通大学学报, 2007,41(10):1175-1178.

唐荣年, 张新曼, 韩九强. An Effective Algorithm Suppressing Eyelash Interference for Iris Location[J]. 2007, 41(10): 1175-1178.
唐荣年, 张新曼, 韩九强. 一种有效抑制睫毛干扰的虹膜定位算法[J]. 西安交通大学学报, 2007,41(10):1175-1178. DOI：

唐荣年, 张新曼, 韩九强. An Effective Algorithm Suppressing Eyelash Interference for Iris Location[J]. 2007, 41(10): 1175-1178. DOI：

摘要

为了提高在图像质量较差时的虹膜定位性能

改善虹膜定位的成功率和速度

在对Daugman算法改进的基础上

提出了一种基于形态学算子的虹膜定位算法(ILBM).该算法将睫毛干扰看作虹膜图像中出现的缝隙

通过应用形态学中的膨胀算子对缝隙进行填补进而消除干扰

虹膜边缘参数则采用Hough变换来求取.与Daugman算法相比

ILBM算法可以有效抑制虹膜定位过程中存在的睫毛干扰

提高虹膜定位的速度.对比实验表明

ILBM算法具有比Daugman算法更好的抑制干扰能力和鲁棒性

具有更高的定位成功率和更快的定位速度

定位时间仅为Daugman算法的17%

定位成功率提高了3.7%.

Abstract

In order to improve the success ratio and velocity of iris location

an iris location algorithm based on morphological operators was developed. The iris location algorithm was realized through regarding the eyelashes as slits of iris image and applying the dilation operator of the morphology to fill up

and then the disturbance was removed. The Hough transform was used to get the parameter of iris boundary. So

the proposed iris location algorithm can reduce the errors caused by eyelashes and eyelids

and improve the speed of location process. Experiment validation has been carried out with iris image database. It shows that the improved algorithm can locate the iris more effective and quickly. Compared with the traditional algorithm of Daugman

and the location time is only 17% of Daugman's algorithm and the success ratio can be increased by 3.7%.

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references

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王勇,韩九强.基于最小最大概率机的虹膜图像分类方法研究[J].西安交通大学学报, 2006, 40(6):651-654.

Wang Yong, Han Jiuqiang. Study on iris image classification approach based on minimax probability machine [J]. Journal of Xi'an Jiaotong University, 2006, 40(6):651-654.

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Center for Biometrics and Security Research. CASIA iris image database[ED/OL].(2003-12)[2006-08-01]. http:∥www.sinobiometrics.com/casiairis.htm.

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