An Improved LDA Algorithm and Its Application to Face Recognition
Zhongbao Liu · Computer Engineering and Science · 2011
Linear discriminant analysis(LDA) is a typical feature extraction method,but there exist at least two critical drawbacks in LDA: the small sample size problem and the rank limitation problem.In order to solve the above problems,this paper presents an improved LDA method(ILDA) which redefines the between-class scatter matrix and the within-class scatter matrix.ILDA can effectively extract the discriminative information included in the null subspace and the non-null subspace of a within-class scatter matrix.Numerical experiments on some facial databases show ILDA achieves good performance of face recognition.