• DocumentCode
    2529496
  • Title

    A VLSI array processor accelerator for k-NN classification

  • Author

    Ferrari, A. ; Borgatti, M. ; Guerrieri, R.

  • Author_Institution
    DEIS, Bologna Univ., Italy
  • Volume
    4
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    723
  • Abstract
    This paper describes a VLSI array processor system that has been designed and built for classification problems based on the k-nearest neighbors approach. This architecture is suitable for different pattern recognition applications and is scalable to reduce the computation time. A prototype board with two processors has been built and a software driver has been written showing a speed up of 30 times over a software algorithm running on a Sun SPARC20 workstation
  • Keywords
    VLSI; optical character recognition; parallel architectures; Sun SPARC20 workstation; VLSI array processor accelerator; k-nearest neighbors; optical character recognition; parallel architecture; pattern classification; pattern recognition; software driver; Character recognition; Laser radar; Nearest neighbor searches; Neural networks; Performance evaluation; Semiconductor device measurement; Shape measurement; Sun; Testing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547659
  • Filename
    547659