Face Recognition Based on RBPNN of Mahalanobis Distance Map for Skin Color Information

According to skin color distribution in YCbCr color space,a novel face recognition method based on radial basis probabilistic neural network (RBPNN) in Eigenface Space of Mahalanobis Distance Map to Skin Color Information was proposed. Mahalanobis distance map of image was set up with skin color information,and Eigenface space was constructed depending on K-L transformation. In Eigenface space,statistical characteristics of image were extracted,which were served as inputs of neural network. Radial basis probabilistic neural network was constructed in terms of its nonlinear computation and mapping,and used to recognize and classify face image. Experimental result shows the approach is effective to identify.