Face recognition using common matrix approach

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info:eu-repo/semantics/closedAccess

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In this paper, a new approach which is called the common matrix approach is proposed for face recognition. The common mat rix for each class can be calculated either using Gram-Schmidt orthogonalization method or using scatter matrix of each class. In both ways, orthonormal mat rices in the indi fference subspace represent the directions that contain impor tant discriminative information. The proposed approach overcomes the small sample size problem and the dimensionality problem in face recognition. The applications on AR-Face database give satisfactory results.

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European Association for Signal Processing (EURASIP); KAREL; TUBITAK; NORTEL Networks - Business Without Boundaries; ARGELA Technologies
13th European Signal Processing Conference, EUSIPCO 2005 -- 4 September 2005 through 8 September 2005 -- Antalya -- 91025

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Signal processing, Gram-Schmidt orthogonalizations, Matrix approach, Orthonormal, Scatter matrix, Small sample size problems, Face recognition

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13th European Signal Processing Conference, EUSIPCO 2005

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