Face recognition based on PCA and ICA

This paper proposes the face recognition method based on principle component analysis (PCA) and independent component analysis (ICA). PCA and ICA are both multivariable data statistics.In order to reduce dimension and sec order correlation,firstly,the image data can be processed by PCA,and then the independent image basis can be got using ICA,finally,face recognition is processed in the subspace. In our experiments,the proposed methods have been successfully evaluated using two different datasets,and PCA and ICA method are compared.The experimental results show that ICA face recognition method is superior to PCA method.