Face recognition based on relevance vector machine

A new face recognition approach based on relevance vector machine (RVM) is presented in this paper. Firstly, the wavelet transform is applied to preprocessing face image to reduce the impact of expression change. Then, the principal component analysis (PCA) method is used to extract key features of the processed face image. Finally, the RVM classification model is adopted for identifying. In comparison with the support vector machine (SVM) method, the RVM approach performs well and can obtain more satisfactory results in terms of recognition rates and robustness.