• DocumentCode
    2454345
  • Title

    An embedded face recognition system on A VLSI array architecture and its FPGA implementation

  • Author

    Mohan, A.R. ; Sudha, N. ; Meher, Pramod K.

  • Author_Institution
    Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    2432
  • Lastpage
    2437
  • Abstract
    Face recognition is a non-intrusive way of automated person identification. A popular method for face recognition is using eigen faces. Eigen faces are obtained by doing principal component analysis (PCA) on the face database. A neural network that performs PCA is called principal component neural network (PCNN). This paper presents a systolic array design for principal component neural network-based face recognition system. Results of implementation of the design in an FPGA device of Xilinx confirm the suitability of the design for real-time video surveillance and high-speed access control.
  • Keywords
    VLSI; face recognition; field programmable gate arrays; neural nets; principal component analysis; FPGA; VLSI array architecture; automated person identification; eigen faces; embedded face recognition; principal component neural network; systolic array design; Computer architecture; Face detection; Face recognition; Field programmable gate arrays; Image databases; Neural networks; Principal component analysis; Spatial databases; Very large scale integration; Video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758338
  • Filename
    4758338