| 基于Gabor滤波器组的虹膜特征提取与匹配 |
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| 引用本文： | 黄晓宇. 基于Gabor滤波器组的虹膜特征提取与匹配[J]. 湖南工程学院学报(自然科学版), 2008, 18(1): 40-43 |
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| 作者姓名： | 黄晓宇 |
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| 作者单位： | 湖南工程学院计算机科学与技术系,湖南,湘潭,411104 |
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| 基金项目： | 湖南省教育厅科研资助项目(02C183) |
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| 摘 要： | 提出了一种基于Gabor滤波器组的虹膜识别方法，能有效地从虹膜图像中确定一个感兴趣的区域（ROI）并用于多尺寸多方向地提取虹膜图案的空间和方向特征，然后通过寻找相关特征矢量之间的最小距离实现虹膜图案匹配．实验结果证明我们的方法既能对虹膜图案的比例、平移保持不变性，又能消除或减少因睫毛、眼睑和反光造成的干扰．
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| 关 键 词： | Gabor滤波器组 感兴趣区域 虹膜纹理 特征矢量 |
| 文章编号： | 1671-119X(2008)01-0040-04 |
| 修稿时间： | 2007-07-16 |
Iris Feature Extraction and Matching Based on Gabor Filter Groups |
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| HUANG Xiao-yu. Iris Feature Extraction and Matching Based on Gabor Filter Groups[J]. Journal of Hunan Institute of Engineering(Natural Science Edition), 2008, 18(1): 40-43 |
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| Authors: | HUANG Xiao-yu |
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| Affiliation: | HUANG Xiao - yu ( Dept. of Computer Science ＆ Technology, Hunan Institute of Engineering, Xiangtan 411104, China) |
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| Abstract: | This paper presents an iris recognition method based on Gabor filter groups,which effectively extracts the spatial and directional features of a region of interest(ROI) of iris patterns in multiple scales multiple directional.Then,iris pattern matching is performed based on finding the distance between the corresponding feature vectors.Experimental results demonstrate that the proposed method not only keeps the invariability both in scale and translation of iris patterns,but also effectively eliminates or decreases the interference of eyelash,eyelid,and reflected light. |
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| Keywords: | gabor filter groups region of interest iris texture feature vectors |
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