• DocumentCode
    939640
  • Title

    “Whitenedfaces” Recognition With PCA and ICA

  • Author

    Liao, Ling-Zhi ; Luo, Si-Wei ; Tian, Mei

  • Volume
    14
  • Issue
    12
  • fYear
    2007
  • Firstpage
    1008
  • Lastpage
    1011
  • Abstract
    This letter develops a simple and effective whitening method for flattening the power-law power spectrum of face images and combines the whitening technique and PCA/ICA for face recognition. The whitening parameter in the whitening filter is adaptive to the input data so as to make the power spectrum of the whitened results as flat as possible. This proposed method is computationally saving for using fast Fourier transform algorithms. The transformed ldquowhitenedfacesrdquo are applied to face recognition with PCA and ICA coding strategies, respectively. The results show that the whitening processing will bring better recognition performances for both PCA and ICA representations.
  • Keywords
    face recognition; fast Fourier transforms; independent component analysis; principal component analysis; fast Fourier transform algorithm; independent component analysis; power-law power face image spectrum; principal component analysis; whitenedface recognition; Face recognition; independent component analysis (ICA); power spectrum; principle component analysis (PCA); whitening;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2007.904704
  • Filename
    4358011