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Hybrid Approach for Face Recognition from a Single Sample per Person by Combining VLC and GOM

Authors
  • Ghorbel, Ahmed1
  • Aydi, Walid1, 2
  • Tajouri, Imen1
  • Masmoudi, Nouri1
  • 1 University of Sfax, Tunisia , (Tunisia)
  • 2 College of Sciences and Humanities – Aflaj, Prince Sattam bin Abdulaziz University, Saudi Arabia , (Saudi Arabia)
Type
Published Article
Journal
Journal of Intelligent Systems
Publisher
De Gruyter
Publication Date
Aug 14, 2019
Volume
29
Issue
1
Pages
1523–1534
Identifiers
DOI: 10.1515/jisys-2018-0380
Source
De Gruyter
Keywords
License
Green

Abstract

This paper proposes a new face recognition system based on combining two feature extraction techniques: the Vander Lugt correlator (VLC) and Gabor ordinal measures (GOM). The proposed system relies on the execution speed of VLC and the robustness of GOM. In this system, we applied the Tan and Triggs and retina modeling enhancement techniques, which are well suited for VLC and GOM, respectively. We evaluated our system on the standard FERET probe data sets and on extended YaleB database. The obtained results exhibited better face recognition rates in a shorter execution time compared to the GOM technique.

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