Journal
NEUROCOMPUTING
Volume 73, Issue 10-12, Pages 1556-1561Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2009.12.025
Keywords
Fisher; LDA; 2DLDA; Fuzzy; Feature extraction; Face recognition
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Funding
- NSFC of China [90820009, 60632050, 60803049, 60875010]
- Hong Kong RGC [PolyU 5351/08E]
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In the paper, fuzzy fisherface is extended to image matrix, namely, the fuzzy 2DLDA (F2DLDA). In the proposed method, we calculate the membership degree matrix by fuzzy K-nearest neighbor (FKNN), and then incorporate the membership degree into the definition of the between-class scatter matrix and the within-class scatter matrix. Finally, we get the fuzzy between-class scatter matrix and fuzzy within-class scatter matrix. In our definition of the between-class scatter matrix and within-class matrix, the fuzzy information is better used than fuzzy fisherface. Experiments on the Yale, ORL and FERET face databases show that the new method works well. (C) 2010 Elsevier B.V. All rights reserved.
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