A comparative study of GOM, uLBP, VLC and fractional Eigenfaces for face recognition

Ahmed Ghorbel, Imen Tajouri, Walid Aydi, Nouri Masmoudi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

This paper compares four methods of feature extraction: Fractional Eigenfaces and Vander Lugt Correlator as global methods, and Gabor Ordinal Measures and Uniform Local Binary Pattern as local ones. We evaluate the four methods on the standard FERET probe data sets in order to study the robustness of these techniques against illumination variation, facial expression variation and aging. The Gabor ordinal measures as a combination of Gabor filters and ordinal measures outperforms the others methods on the four test sets in terms of recognition rate.

Original languageEnglish
Title of host publicationIPAS 2016 - 2nd International Image Processing, Applications and Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016457
DOIs
StatePublished - 16 Mar 2017
Externally publishedYes
Event2nd International Image Processing, Applications and Systems Conference, IPAS 2016 - Hammamet, Tunisia
Duration: 5 Nov 20167 Nov 2016

Publication series

NameIPAS 2016 - 2nd International Image Processing, Applications and Systems Conference

Conference

Conference2nd International Image Processing, Applications and Systems Conference, IPAS 2016
Country/TerritoryTunisia
CityHammamet
Period5/11/167/11/16

Keywords

  • face recognition
  • features extraction
  • fractional Eigenfaces
  • Gabor wavelet
  • Local Binary Pattern
  • Vander Lugt Correlator

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