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Fuzzy 2-Dimensional FLD for Face Recognition

Year:    2009

Journal of Information and Computing Science, Vol. 4 (2009), Iss. 3 : pp. 233–239

Abstract

This paper proposes a new method of face image feature extraction, namely, the fuzzy 2DFLD (F2DFLD) based on the 2D fisher discriminant criterion and fuzzy set theory. In the proposed method, we calculate membership degree matrix by FKNN, then we incorporate the membership degree into the definition of the between-class scatter matrix and within-class scatter matrix and get the fuzzy between-class scatter matrix and fuzzy within-class scatter matrix. Experiments on the Yale, ORL and FERET face databases show that the new method can work well

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2024-JICS-22749

Journal of Information and Computing Science, Vol. 4 (2009), Iss. 3 : pp. 233–239

Published online:    2009-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    7

Keywords: