• DocumentCode
    1056115
  • Title

    Form design for high accuracy optical character recognition

  • Author

    Garris, Michae D. ; Dimmick, Darrin L.

  • Author_Institution
    Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • Volume
    18
  • Issue
    6
  • fYear
    1996
  • fDate
    6/1/1996 12:00:00 AM
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    To successfully apply character recognition technology most of the forms currently hand-keyed will need to be redesigned. This paper presents results from a comprehensive study of three versions of a redesigned tax form. Analyses show that using separately spaced character boxes provides superior machine readability over fields containing combs and adjoining character boxes. It is shown that character boxes containing two vertically stacked ovals cause writers much more difficulty. Analyses provide proof that writer idiosyncratic responses on forms are the major source of errors, and proper form design can reduce these errors
  • Keywords
    business forms; financial data processing; human factors; neural nets; optical character recognition; character boxes; form design; handwriting recognition; idiosyncratic response; machine readability; optical character recognition; probabilistic neural networks; tax form; Character recognition; Government; Image recognition; Image segmentation; Integrated optics; NIST; Optical character recognition software; Optical computing; Optical design; Optical fiber networks;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.506417
  • Filename
    506417