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OALib Journal期刊
ISSN: 2333-9721
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Face Recognition Based on ICA Combined with FLD
基于ICA和FLD相结合的人脸识别

Keywords: Principal Component Analysis,Independent Component Analysis,Fisher Linear Discriminant Analysis,Face Recognition
主成分分析
,独立成分分析,Fisher线性辨别分析,人脸识别

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Abstract:

Although the traditional ICA method has good performance in face recognition, it does not consider class information. In order to incorporate class specific information into ICA, attempts to combine ICA with FLD. After getting statistically independent basis vectors by applying ICA to all training patterns, apply FLD to the subspace that the basis vectors span. Experimental results using several facial databases show that this method has better performance than PCA only based methods as well as other representative methods such as FLD and ICA methods.

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