A novel multi-stage classifier for face recognition

Chen Hui Kuo*, Jiann Der Lee, Tung Jung Chan

*Corresponding author for this work

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

1 Scopus citations

Abstract

A novel face recognition scheme based on multi-stages classifier, which includes methods of support vector machine (SVM), Eigenface, and random sample consensus (RANSAC), is proposed in this paper. The whole decision process is conducted cascade coarse-to-fine stages. The first stage adopts one-against-one-SVM (OAO-SVM) method to choose two possible classes best similar to the testing image. In the second stage, "Eigenface" method was employed to select one prototype image with the minimum distance to the testing image in each of the two classes chosen. Finally, the real class is determined by comparing the geometric similarity, as done by "RANSAC" method, between these prototype images and the testing images. This multi-stage face recognition system has been tested on Olivetti Research Laboratory (ORL) face databases, and its experimental results give evidence that the proposed approach outperforms the other approaches either based on the single classifier or multi-parallel classifier, it can even obtain a nearly 100 percent recognition accuracy.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
PublisherSpringer Verlag
Pages631-640
Number of pages10
EditionPART 2
ISBN (Print)9783540763895
DOIs
StatePublished - 2007
Event8th Asian Conference on Computer Vision, ACCV 2007 - Tokyo, Japan
Duration: 18 11 200722 11 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4844 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Asian Conference on Computer Vision, ACCV 2007
Country/TerritoryJapan
CityTokyo
Period18/11/0722/11/07

Keywords

  • Computational geometry
  • Computational methods
  • Database systems
  • Decision theory
  • Eigenvalues and eigenfunctions
  • Multi-stage classifiers
  • Olivetti Research Laboratory (ORL)
  • Prototype image
  • Support vector machines

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