Preprint Article Version 1 This version is not peer-reviewed

New Fusion of SVD and DCT-LBP for Face Recognition

Version 1 : Received: 9 August 2016 / Approved: 9 August 2016 / Online: 9 August 2016 (11:37:36 CEST)

How to cite: Barrah, E.M.; Safi, S.; Malaoui, A. New Fusion of SVD and DCT-LBP for Face Recognition. Preprints 2016, 2016080088 (doi: 10.20944/preprints201608.0088.v1). Barrah, E.M.; Safi, S.; Malaoui, A. New Fusion of SVD and DCT-LBP for Face Recognition. Preprints 2016, 2016080088 (doi: 10.20944/preprints201608.0088.v1).

Abstract

In this paper, we proposed the fusion of two projection based face recognition algorithms: local binary Patterns in DCT domain and singular value decomposition (SVD) characterized by its simplicity and efficiently. Standard databases ORL are used to test the experimental results which prove that proposed system achieves more accurate face recognition as compared to individual method.

Subject Areas

Face Recognition; Discrete Cosine Transform (DCT); singular value decomposition (SVD)

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