| Iris Feature Extraction Method Based on 1D Gabor Filter |
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| 作者姓名： | 徐光柱 马义德 张在峰 |
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| 作者单位： | The College of Electrical Engineering and Information Technology Three Gorges University，School of Information Science and Engineering Lanzhou University，School of Information Science and Engineering Lanzhou University，Yichang 443002，China School of Information Science and Engineering Lanzhou University，Lanzhou 730000，China，Lanzhou 730000，China，Lanzhou 730000，China |
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| 基金项目： | 国家自然科学基金，兰州大学校科研和校改项目 |
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| 摘 要： | The normalized iris image was divided into eight sub-bands,and every column of each sub-band was averaged by rows to generate eight 1D iris signals.Then the even symmetry item of 1D Gabor filter was used to describe local characteristic blocks in 1D iris signals,and the results were quantified by their polarities to generate iris codes.In order to estimate the performance of the presented method,an iris recognition platform was produced and the Hamming distance between two iris codes was computed to measure the dissimilarity of them.The experimental results in CASIA v1.0 and Bath iris image databases show that the proposed iris feature extraction algorithm has a promising potential in iris recognition.
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| 关 键 词： | 生物测定学 虹膜识别 1D过滤器 计算机技术 |
Iris Feature Extraction Method Based on 1D Gabor Filter |
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| XU Guang-zhu,MA Yi-de and ZHANG Zai-feng.Iris Feature Extraction Method Based on 1D Gabor Filter[J].Journal of Beijing Institute of Technology,2008,17(2):189-193. |
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| Authors: | XU Guang-zhu MA Yi-de and ZHANG Zai-feng |
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| Affiliation: | 1. The College of Electrical Engineering and Information Technology, Three Gorges University, Yichang 443002, China;School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China
2. School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China |
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| Abstract: | The normalized iris image was divided into eight sub-bands,and every column of each sub-band was averaged by rows to generate eight 1D iris signals.Then the even symmetry item of 1D Gabor filter was used to describe local characteristic blocks in 1D iris signals,and the results were quantified by their polarities to generate iris codes.In order to estimate the performance of the presented method,an iris recognition platform was produced and the Hamming distance between two iris codes was computed to measure the dissimilarity of them.The experimental results in CASIA v1.0 and Bath iris image databases show that the proposed iris feature extraction algorithm has a promising potential in iris recognition. |
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| Keywords: | biometrics iris recognition 1D gabor filter |
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