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文件名称:Iris-feature-extraction-algorithm
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基于二维小波变换和方向向量，提出一种新的虹膜特征提取方法。该方法的基本思想是考虑虹膜纹理的
灰度变化，对于多层小波分解后的低频分量，分别求其在4个方向上的方向向量，最后形成虹膜码。测试结果表明，该方法能
有效地提高虹膜的识别率，且算法简单、快速。
-The basic principle of the method is as follows.In view of iris textural intensity variation,for the low-
frequency components of multi-resolution decomposition,directional vector along four directions is obtained,and iris code is formed
in the end.According to test,the algorithm can enhance iris recognition rate.Furthermore,algorithm is simple and fast.
灰度变化，对于多层小波分解后的低频分量，分别求其在4个方向上的方向向量，最后形成虹膜码。测试结果表明，该方法能
有效地提高虹膜的识别率，且算法简单、快速。
-The basic principle of the method is as follows.In view of iris textural intensity variation,for the low-
frequency components of multi-resolution decomposition,directional vector along four directions is obtained,and iris code is formed
in the end.According to test,the algorithm can enhance iris recognition rate.Furthermore,algorithm is simple and fast.
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Iris feature extraction algorithm.kdh
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