• DocumentCode
    3173815
  • Title

    Vector templates and handprinted digit recognition

  • Author

    Parker, J.R.

  • Author_Institution
    Dept. of Comput. Sci., Calgary Univ., Alta., Canada
  • Volume
    2
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    457
  • Abstract
    While a multitude of template matching strategies have been applied to printed text recognition, the variation seen in handprinted characters generally reduces the usefulness of this technique. What is suggested in this paper is the use of scalable vector templates, which can be used to generate a template with the same scale and line width attributes as an arbitrary input character image. The best match is the template having the smallest total distance between black pixels. Multiple templates are used for each character and digits only are used as a sample data set
  • Keywords
    optical character recognition; handprinted digit recognition; scalable vector templates; Character generation; Character recognition; Computer science; Computer vision; Humans; Laboratories; Machine learning; Shape; Skeleton; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6270-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576981
  • Filename
    576981