• DocumentCode
    3364854
  • Title

    A Comparative Implementation of PCA Face Recognition Algorithm

  • Author

    Morizet, Nicolas ; Amiel, Frédéric ; Hamed, Insaf Dris ; Ea, Thomas

  • Author_Institution
    Inst. Superieur d´´Electron. de Paris, Paris
  • fYear
    2007
  • fDate
    11-14 Dec. 2007
  • Firstpage
    865
  • Lastpage
    868
  • Abstract
    This paper presents PCA algorithm used in face recognition system and its implementation on different architectures in order to choose the best solution for designing a real time face recognition system. Benchmarks and comparisons will be given for PC, DSP and FPGA and results will show that FPGA soft core is too slow for this computation. An IP solution is the best choice. But DSP is also a good compromise for implementing easily the algorithm and having acceptable processing time.
  • Keywords
    face recognition; principal component analysis; DSP; FPGA soft core; PCA face recognition algorithm; digital signal processing chip; field programmable gate arrays; principal component analysis; real time face recognition; Computer architecture; Covariance matrix; Digital signal processing; Eigenvalues and eigenfunctions; Face recognition; Field programmable gate arrays; Iris; Pixel; Principal component analysis; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-1377-5
  • Electronic_ISBN
    978-1-4244-1378-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2007.4511128
  • Filename
    4511128