This paper proposes a face novel recognition method based on Weighted PCA, which combined weighted features with PCA. At first, we calculate the weighted subspace for each class by minimizing the weighted reconstruction error. Then a test example is classified by the distance from weighted subspace. The experiments on Cambridge ORL database show that our Weighted PCA method can improve the recognition rate significantly without increasing the computation, when compared with PCA.
