Face recognition using histogram-based features in spatial and frequency domains

Qiu Chen, Koji Kotani, Feifei Lee, Tadahiro Ohmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previously, we proposed an efficient algorithm using vector quantization (VQ) histogram for facial image recognition in low-frequency DCT domains. In this paper, we newly utilize Local Binary Pattern (LBP) histogram in spatial domain. These two histograms, which contain both spatial and frequency domain information of a facial image, are utilized as a very effective personal feature. Publicly available AT&T database is used for the evaluation of our proposed algorithm, which is consisted of 40 subjects with 10 images per subject containing variations in lighting, posing, and expressions. It is demonstrated that face recognition using combined histogrambased features can achieve much higher recognition rate.

Original languageEnglish
Title of host publication6th International Conferences on Advances in Multimedia, MMEDIA 2014
EditorsPascal Lorenz
PublisherInternational Academy, Research and Industry Association, IARIA
Pages53-57
Number of pages5
ISBN (Electronic)9781612083209
Publication statusPublished - 2014 Jan 1
Event6th International Conferences on Advances in Multimedia, MMEDIA 2014 - Nice, France
Duration: 2014 Feb 232014 Feb 27

Publication series

NameMMEDIA - International Conferences on Advances in Multimedia
ISSN (Print)2308-4448

Other

Other6th International Conferences on Advances in Multimedia, MMEDIA 2014
CountryFrance
CityNice
Period14/2/2314/2/27

Keywords

  • DCT coefficients
  • Face recognition
  • Local Binary Patterns (LBP)
  • Vector quantizaiton (VQ)

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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