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Different statistical methods for face recognition have been proposed in recent years. They mostly differ in the type of projection and distance measure used. The aim of this paper is to give an overview of most popular statistical subspace methods for face recognition task. Theoretical aspects of three algorithms will be considered and some reported performance evaluations will be given.