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. Preprints2016, 2016080088. https://doi.org/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. https://doi.org/10.20944/preprints201608.0088.v1
Barrah, E.M.; Safi, S.; Malaoui, A. New Fusion of SVD and DCT-LBP for Face Recognition. Preprints2016, 2016080088. https://doi.org/10.20944/preprints201608.0088.v1
APA Style
Barrah, E.M., Safi, S., & Malaoui, A. (2016). New Fusion of SVD and DCT-LBP for Face Recognition. Preprints. https://doi.org/10.20944/preprints201608.0088.v1
Chicago/Turabian Style
Barrah, E.M., Said Safi and Abdessamad Malaoui. 2016 "New Fusion of SVD and DCT-LBP for Face Recognition" Preprints. https://doi.org/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.
Keywords
Face Recognition; Discrete Cosine Transform (DCT); singular value decomposition (SVD)
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
