• DocumentCode
    2529909
  • Title

    Face recognition system using SVM-based classifier

  • Author

    Frolov, Igor ; Sadykhov, Rauf

  • Author_Institution
    Belarusian State Univ. of Inf. & Radioelectron., Minsk, Belarus
  • fYear
    2009
  • fDate
    21-23 Sept. 2009
  • Firstpage
    394
  • Lastpage
    399
  • Abstract
    The development of automatic visual control system is a very important research topic in computer vision. There is an complex task of development face identification system robust to the various quality of the images as light, face expression, glasses, beards, moustaches etc. We propose using the wavelet transformation algorithms for reduction the source data space. We have realized an expansion of pixels values to the whole intensity range and the equalization of histogram for the elimination of the intensity difference. The support vector machines technology has been used for the face recognition in our work.
  • Keywords
    computer vision; face recognition; feature extraction; image classification; support vector machines; wavelet transforms; SVM-based classifier; automatic visual control system; computer vision; face recognition system; source data space reduction; wavelet transformation algorithm; Automatic control; Computer vision; Control systems; Face detection; Face recognition; Glass; Histograms; Robustness; Space technology; Support vector machines; Face identification; discrete wavelet transformation; pattern recognition; support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
  • Conference_Location
    Rende
  • Print_ISBN
    978-1-4244-4901-9
  • Electronic_ISBN
    978-1-4244-4882-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2009.5342952
  • Filename
    5342952