| 基于小波包分解的虹膜图像识别方法研究 |
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| 引用本文： | 刘磊,陈向奎.基于小波包分解的虹膜图像识别方法研究[J].科技通报,2012,28(8):93-95. |
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| 作者姓名： | 刘磊 陈向奎 |
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| 作者单位： | 1. 河南职业技术学院信息工程系,郑州,450046
2. 洛阳师范学院信息技术学院,河南洛阳,471022 |
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| 摘 要： | 针对虹膜图像的纹理特征表示主要集中在中高频能量部分,对图像进行小波包分解,并提取出特征向量,运用变维方式对奇异值特征向量做进一步处理,进而将获得的特征向量做为虹膜图像的识别特征向量,依据欧氏距离分类器对他们做识别分类。最后的试验结果证明了这种算法的有效性与合理性。
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| 关 键 词： | 小波包分解 虹膜 图像识别 特征提取 |
Iris Image Identification Based on Wavelet Packet Decomposition |
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| LIU Lei
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CHEN Xiangkui.Iris Image Identification Based on Wavelet Packet Decomposition[J].Bulletin of Science and Technology,2012,28(8):93-95. |
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| Authors: | LIU Lei CHEN Xiangkui |
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| Institution: | 1.Department of Information Engineering,Henan Polytechnic College,Zhengzhou 450046,China; 2.Academy of Information Technology,Luoyang Normal University,Luoyang 471022,China) |
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| Abstract: | The iris image’s texture features are mainly concentrated on the high-frequency energy part,so it first carries out the image wavelet packet decomposition,extracts the feature vectors,processes the singular value eigenvectors for the variable dimension feature vector and takes the achieved feature vectors as the iris recognition’s feature vectors,finally,classifies and identifies them according to Euclidean distance theory.The results and data achieved through the test show that this algorithm is reasonable and effective. |
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| Keywords: | wavelet packet decomposition iris image recognition feature extraction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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