A LDA-based weighted null space algorithm in face recognition
Yuhua Zhang, Xin Wang · Journal of Shandong University · 2009
Linear discriminant analysis(LDA)often encounters a small-sample-size(SSS)problem when used in face recognition because there are not enough training samples and the within scatter matrix is singular.The traditional LDA-based null space algorithm can effectively avoid the SSS problem by first removing the null space of total scatter matrix.A new feature extraction method called weighted null space was proposed,and the selection of weight parameters was discussed.Experimental results on face databases demonstrated its validity.