Face Recognition Based on the Basic Images of Singular Value Decomposition(SVD)
Ruyan Wang · Telecommunication Engineering · 2008
This paper researches the question of face recognition based on singular value decomposition(SVD).It is firstly proved that most important information of image is contained in the left and right singular vectors corresponding to some largest singular values.Then the basic images of template image are presented and an image is expressed with the linear combination of the basic images.The combined coefficients are extracted as algebraic feature of image and are applied to face recognition.The experiment results show that the run time is remarkably reduced compared to the method based on the projection coefficient vector,and the recognition rate is remarkably increased compared to the method based on the singular feature vector.