一种Log-Gabor滤波器结合多分辨率分析的虹膜识别方法

唐荣年; 韩九强; 张新曼

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一种Log-Gabor滤波器结合多分辨率分析的虹膜识别方法

更新时间：2025-07-09

- 一种Log-Gabor滤波器结合多分辨率分析的虹膜识别方法
- An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis
- 西安交通大学学报 2009年43卷第4期页码：30-33+61
- 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：
  
  : 2008-09-25. 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(60602025);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：2009-04-10，
  
  纸质出版：2009
- 稿件说明：
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唐荣年, 韩九强, 张新曼. 一种Log-Gabor滤波器结合多分辨率分析的虹膜识别方法[J]. 西安交通大学学报, 2009,43(4):30-33+61.

An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis[J]. 2009, 43(4): 30-33+61.
唐荣年, 韩九强, 张新曼. 一种Log-Gabor滤波器结合多分辨率分析的虹膜识别方法[J]. 西安交通大学学报, 2009,43(4):30-33+61. DOI：

An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis[J]. 2009, 43(4): 30-33+61. DOI：

摘要

为提高虹膜识别算法的性能

提出了一种采用虹膜纹理全局信息的识别方法——全局信息识别法(IRBGT).该方法使用下采样运算得到不同分辨率下的虹膜图像

然后通过不同方向尺度的Log-Gabor滤波器组提取虹膜纹理的全局特征.最后

运用加权最小海明距离对生成的虹膜特征码进行匹配.与传统的Gabor虹膜识别方法相比

IRBGT方法在虹膜识别时更多地考虑了全局信息的可辨识力

能够降低等错误率和相同错误接收率下的错误拒绝率.对CASIA和UBIRIS虹膜库的测试结果表明

相比传统的Gabor虹膜识别方法

IRBGT方法在错误接受率为0.01%和0.1%时使错误拒绝率分别减小了0.54%±0.2% 和 0.35%±0.15%

使等错误率降低了约0.2%.

Abstract

A new method is proposed to improve the performance of iris recognition

which is named iris recognition based on global texture(IRBGT). The method based on global information of iris texture

is realized through obtaining iris texture image with different resolutions by the down-sample algorithm. 2D Log-Gabor filters with different orientations are used to extract the global features of iris texture. The minimum weighted Hamming distance is used to test the similarity of two iris feature codes. The proposed method has lower equal error rate and lower false rejection rate at the same false acceptance rate than the traditional Gabor filter method has. Experiment results on the CASIA and UBIRIS iris database show that when the false acceptance rates are at 0.01% and 0.1%

the false rejection rates of IRBGT are decreased by 0.54%±0.2% and 0.35%±0.15% respectively

and the equal error rate is decreased by about 0.2%.

关键词

Keywords

references

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DAUGMAN J G. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Trans Pattern Anal Mach Intell, 1993, 15(11):1148-1161.

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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.

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PROENCA H, ALEXANDRE L A. UBIRIS iris image database [DB/OL].(2005-09-15)[2007-01-05]. http:∥iris.di.ubi.pt.

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