粗集理论在虹膜特征提取中的应用
首发时间:2011-03-15
摘要:为了更加有效的提取出小波变换后的特征,提高虹膜识别的精度,本文采用小波变换结合粗集理论的方法进行特征提取。首先应用小波多层维数分解提取虹膜特征,然后用粗集的属性约简思想对特征进行筛选,提取出有效的匹配特征,去除掉无效的匹配特征,从而大大提高了识别的精度。
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The Application of Rough Set Theory in the Iris Feature Extraction
Abstract:In order to more effectively extract the characteristics after wavelet-tansformation and improve the accuracy of iris identification, this paper adopts wavelet-transform combined with rough-set theory method for feature extraction. Firstly apply wavelet multilayer dimension decomposition to extract iris characteristics, then use the attribute reduction thoughts of rough sets for characteristics screening so as to extract the effective matching characteristic and remove the invalid matching feature, which can greatly improve the identification precision.
Keywords: Iris identification Feature extraction Wavelet transform Rough set theory Attribute reduction
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