Human Face Recognition Based on Two Dimensional Nonparametric Discriminant Analysis

A novel method for Human face recognition based on two dimensional nonparametric discriminant analysis is proposed.Traditional LDA-based methods suffer from some disadvan-tages such as small sample size problem(SSS),course of a dimensionality,as well as a fundamental limitation resulting from the parametric nature of scatter matrices,based on the Gaussian distribution assumption.To address the problem,a new two dimensional nonparametric discriminant analysis is proposed and a new formulation of scatter matrices is given.Experimental results indicate the robustness and accuracy of the proposed method.