Title: A generalized Kernel Fisher Discriminant framework used for feature extraction and face recognition
Abstract:In this paper, an improved Kernel Fisher Discriminant (KFD) method is used in face recognition. A Generalized Kernel Fisher Discriminant Analysis (GKFD) is proposed to make the most of two kinds of di...In this paper, an improved Kernel Fisher Discriminant (KFD) method is used in face recognition. A Generalized Kernel Fisher Discriminant Analysis (GKFD) is proposed to make the most of two kinds of discriminant information in "double discriminant subspaces". It can also uniform the discriminant functions in two subspaces of DSDA. Experimental results on ORL face database show the feasibility of the suggested method.Read More
Publication Year: 2016
Publication Date: 2016-08-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 5
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