Fuzzy 2DLDA for Face Recognition

This paper proposes a new method of face image feature extraction, namely, the fuzzy 2DLDA (F2DLDA) 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 ORL and FERET face databases show that the new method can work well.