• DocumentCode
    2711885
  • Title

    An Efficient Feature Set for Handwritten Digit Recognition

  • Author

    Joseph, Minnu ; Bhat, N.B. ; Sekaran, K. Chandra

  • Author_Institution
    Nat. Inst. of Technol. Karnataka Mangalore, Mangalore
  • fYear
    2007
  • fDate
    18-21 Dec. 2007
  • Firstpage
    540
  • Lastpage
    545
  • Abstract
    Technology driven high-level synthesis make the present high-level synthesis knowledgeable of the target field programmable gate array. All the functions of high-level synthesis become aware of target technology since parsing. It makes right inference of hardware, by attaching target technology specific attributes to the parse tree. This right inference will guide to generate optimized hardware.
  • Keywords
    field programmable gate arrays; high level synthesis; trees (mathematics); FPGA; field programmable gate array; parse tree; target technology; technology driven high-level synthesis; Classification tree analysis; Educational institutions; Feature extraction; Handwriting recognition; Image databases; Optical character recognition software; Pixel; Spatial databases; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
  • Conference_Location
    Guwahati, Assam
  • Print_ISBN
    0-7695-3059-1
  • Type

    conf

  • DOI
    10.1109/ADCOM.2007.51
  • Filename
    4426025