A New Face Recognition Method Based On SVD
Yuanyuan Ma, Dengyin Zhang · 2017
In order to further improve the accuracy of face recognition and reduce the time complexity, this paper presents a new method of face recognition based on the singular value decomposition (SVD).Combining the characteristics of singular value vector (SVV) and orthogonal matrix similarity, a new criterion is established to obtain the decision category of the face to be tested.The ORL face database is used to verify the recognition effect of the proposed method.Experiment results show that the proposed method is superior to other methods in recognition rate and time complexity.