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一种基于ICA和模糊LDA的特征提取方法

, PP. 819-823

Keywords: 特征提取,人脸识别,独立成分分析(ICA),模糊线性鉴别分析(FLDA),模糊k近邻(FKNN)

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Abstract:

独立成分分析(ICA)和线性鉴别分析(LDA)是两种经典的特征提取方法.为了更好地解决人脸识别中的特征提取问题,在已有的两种方法进行特征抽取的基础上引入模糊技术,抽取重叠(离群)样本中有助于分类的特征.首先用ICA进行初次特征提取,然后采用模糊k近邻方法得到相应的样本分布信息,最后在此基础上用模糊LDA进行二次特征提取,得到有效的特征向量集.在3个人脸数据库上的实验结果表明本文方法的有效性.

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