• DocumentCode
    286758
  • Title

    A hardware polynomial feature net for handprinted digit recognition

  • Author

    Rao, A. ; Anderson, P.G. ; Gaborski, R.S. ; Jaiswal, K.S.

  • Author_Institution
    Eastman Kodak Co., Rochester, NY, USA
  • fYear
    1993
  • fDate
    25-27 May 1993
  • Firstpage
    36
  • Lastpage
    40
  • Abstract
    The potential market for document processing systems makes it desirable to implement character recognition algorithms in low-cost, mass-produceable integrated circuits. This paper describes the hardware implementation of an algorithm which has excellent recognition accuracy and is simple in design. An automatic layout method, performance on a standard data set, SPICE simulation results and quantization issues are discussed
  • Keywords
    character recognition; document image processing; neural nets; SPICE simulation; character recognition; document processing systems; handprinted digit recognition; neural nets; polynomial feature net; quantization;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1993., Third International Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-85296-573-7
  • Type

    conf

  • Filename
    263261