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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647935
