DocumentCode
535391
Title
A rank-raised based method for face discrimination
Author
Zou, Jin ; Jia, Liping
Author_Institution
Coll. of Math. & Inf. Sci., Leshan Teachers Coll., Leshan, China
Volume
4
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
1778
Lastpage
1782
Abstract
In this paper, we develop a rank-raised based method for face recognition. The idea of the method is first to use KFD to raise the rank of total-class scatter matrix, and then the subspace method(DLDA) extracts feature space. The detailed method is presented. Experimental results on the ORL database show that the proposed method has more powerful ability of face recognition compared with LDA, DLDA and MMSD method.
Keywords
face recognition; feature extraction; KFD; ORL database; face discrimination; face recognition; feature space extraction; kernel Fisher discriminant; rank-raised method; subspace method; total-class scatter matrix; Accuracy; Algorithm design and analysis; Databases; Face recognition; Feature extraction; Kernel; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5647935
Filename
5647935
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