• DocumentCode
    1563365
  • Title

    Synergetic Face Recognition Algorithm Based on ICA

  • Author

    Shao, Jing ; Gao, Jun ; Yang, Xuezhi

  • Author_Institution
    Dept. of Comput. & Inf., Hefei Univ. of Technol.
  • Volume
    1
  • fYear
    2005
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    In this paper, a synergetic face recognition algorithm based on ICA is presented. We utilize the face features extracted by the ICA algorithm as the prototype vector and test vector of the synergetic pattern recognition. The recognition result can be drawn from the dynamic evolvement equation of the order parameters. From the result of the simulated experiment, we can illustrate that the synergetic face recognition algorithm based on ICA not only has the high recognition ratio, but also has strong robustness for deformed, defiled, noised and low resolution images
  • Keywords
    face recognition; image resolution; independent component analysis; dynamic evolvement equation; image resolution; independent component analysis; synergetic face recognition algorithm; Deformable models; Equations; Face recognition; Feature extraction; Image recognition; Independent component analysis; Noise robustness; Pattern recognition; Prototypes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614608
  • Filename
    1614608