Local gabor binary pattern whitened PCA: A novel approach for face recognition from single image per person

Hieu V. Nguyen, Li Bai, Linlin Shen

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

48 Citations (Scopus)

Abstract

One major challenge for face recognition techniques is the difficulty of collecting image samples. More samples usually mean better results but also more effort, time, and thus money. Unfortunately, many current face recognition techniques rely heavily on the large size and representativeness of the training sets, and most methods suffer degraded performance or fail to work if there is only one training sample per person available. This so-called "Single Sample per Person" (SSP) situation is common in face recognition. To resolve this problem, we propose a novel approach based on a combination of Gabor Filter, Local Binary Pattern and Whitened PCA (LGBPWP). The new LGBPWP method has been successfully implemented and evaluated through experiments on 3000+ FERET frontal face images of 1196 subjects. The results show the advantages of our method - it has achieved the best results on the FERET database. The established recognition rates are 98.1%, 98.9%, 83.8% and 81.6% on the fb, fc, dup I, and dup II probes, respectively, using only one training sample per person.

Original languageEnglish
Title of host publicationAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Pages269-278
Number of pages10
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Duration: 2 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Advances in Biometrics, ICB 2009
Country/TerritoryItaly
CityAlghero
Period2/06/095/06/09

Keywords

  • Face Recognition
  • Feature Selection
  • Gabor Wavelet
  • Local Binary Pattern
  • PCA
  • Whitening

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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