Fusion of support vector classifiers for parallel gabor methods applied to face verification

Ángel Serrano, Isaac Martín De Diego, Cristina Conde, Enrique Cabello, Li Bai, Linlin Shen

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

5 Citations (Scopus)

Abstract

In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateral-projection- based Two-Dimensional Principal Component Analysis (B2DPCA) for Gabor features. We apply this new algorithm to face verification. Several experiments have been performed with the public domain FRAV2D face database (109 subjects). A total of 40 wavelets (5 frequencies and 8 orientations) have been used. Each set of wavelet-convolved images is considered in parallel for the B2DPCA and the SVM classification. A final fusion is performed combining the SVM scores for the 40 wavelets with a raw average. The proposed algorithm outperforms the standard dimension reduction techniques, such as Principal Component Analysis (PCA) and B2DPCA.

Original languageEnglish
Title of host publicationMultiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings
PublisherSpringer Verlag
Pages141-150
Number of pages10
ISBN (Print)9783540724810
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event7th International Workshop on Multiple Classifier Systems, MCS 2007 - Prague, Czech Republic
Duration: 23 May 200725 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4472 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Workshop on Multiple Classifier Systems, MCS 2007
Country/TerritoryCzech Republic
CityPrague
Period23/05/0725/05/07

Keywords

  • Bilateral 2D principal component analysis
  • Biometrics
  • Face verification
  • Gabor wavelet
  • Parallel gabor principal component analysis
  • Principal component analysis
  • Support vector machine

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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