Abstract: The significance of principal component was determined by the corresponding eigenvalue in face recognition based on subspace analysis, then a static feature subspace was established. However,it could result in an inaccurate performanee by analyzing the pr

Key words: Face recognition, Feature selection, Principal component analysis, Gabor feature, Regression analysis