• DocumentCode
    1591287
  • Title

    Iris Biometic Processor Enhanced Module FPGA-Based Design

  • Author

    Zhou Hu-lin ; Xie Mei

  • Author_Institution
    Lab. 537, UESTC, Chengdu, China
  • Volume
    2
  • fYear
    2010
  • Firstpage
    259
  • Lastpage
    262
  • Abstract
    Iris Identification is nowadays one of the most promising techniques in Authentication. Most modern iris recognition systems are currently deployed on traditional sequential digital systems, such as a simple DSPs or MIPS processor. However, in this method, we can only match each data one by one, which will waste much time. In this study, iris matching, a repeatedly executed portion of a modern iris recognition algorithm is parallelized on an FPGA system. We demonstrate a 22 times speedup of the parallelized algorithm on the FPGA system when compared to a simple DSPs.
  • Keywords
    digital signal processing chips; field programmable gate arrays; image matching; iris recognition; parallel algorithms; DSP processor; FPGA system; MIPS processor; authentication; iris biometic processor enhanced module; iris identification; iris matching; parallelized algorithm; sequential digital system; Automatic control; Biometrics; Digital signal processing; Feature extraction; Field programmable gate arrays; Gabor filters; Iris recognition; Read-write memory; Registers; Timing; FPGA; Iris recongnition; matching; parallel process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4244-5642-0
  • Electronic_ISBN
    978-1-4244-5643-7
  • Type

    conf

  • DOI
    10.1109/ICCMS.2010.79
  • Filename
    5421084