• DocumentCode
    1645504
  • Title

    A configurable toolkit approach to handwritten forms recognition

  • Author

    Downton, A.C. ; Amiri, A. ; Du, L. ; Lucas, S.M.

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • fYear
    1995
  • fDate
    11/2/1995 12:00:00 AM
  • Firstpage
    42401
  • Lastpage
    42406
  • Abstract
    Describes a software architecture for configuring and integrating a toolkit of standard OCR components with user-specified form-specific contextual knowledge. The authors illustrate the use of the toolkit by describing two different handwritten form applications, a DSS-P14 tax form and an insurance proposal form. They show the architecture of the overall system, the components required to build it, and present initial results obtained after evaluating the performance of the system using representative forms databases
  • Keywords
    optical character recognition; software tools; DSS-P14 tax form; OCR; configurable toolkit; configuring; handwriting; handwritten form; insurance proposal form; integrating; optical character recognition; pattern recognition; software architecture; software tool; user-specified form-specific contextual knowledge;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Document Image Processing and Multimedia Environments, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19951183
  • Filename
    498876