Preprint Article Version 1 NOT YET PEER-REVIEWED

New Fusion of SVD and DCT-LBP for Face Recognition

  1. Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Beni-Mellal 23000, Morocco
Version 1 : Received: 9 August 2016 / Approved: 9 August 2016 / Online: 9 August 2016 (11:37:36 CEST)

How to cite: Barrah, E.; 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.; 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)

Readers' Comments and Ratings (0)

Discuss and rate this article
Views 167
Downloads 195
Comments 0
Metrics 0
Discuss and rate this article

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.