A New Method of Face Recognition Based on Singular Value Decomposition
Sun Woo Chang, Boe Display · Science Technology and Engineering · 2010
When doing face recognition based on the singular value vector,the reason of the low rate for face recoginition was that the feature of singular value vector could not contain enough face information.And then,a new method of face recognition is proposed based on singular value decomposition-the method of approximation for matrix whose rank is one.Experimented on the ORL,face database,and also,the nearest neighbor decision rule is used to recgnize human face.The results of experiment reveal that this method is superior to the method of the singular value vector.Besides,this algorithm can greatly improve the effect of face recgnition.