An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis

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An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis

更新时间：2025-07-09

- An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis
- Vol. 43, Issue 4, Pages: 30-33+61(2009)
- 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：
- DOI：
  CLC： TP391
- Online First：10 April 2009，
  
  Published：2009
- 稿件说明：
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An Iris Recognition Method Using Log-Gabor Filter and Multi-Resolution Analysis[J]. 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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