• DocumentCode
    1743008
  • Title

    Vector templates for symbol recognition

  • Author

    Parker, J.R. ; Pivovarov, Juraj ; Royko, Dominik

  • Author_Institution
    Dept. of Comput. Sci., Calgary Univ., Alta., Canada
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    602
  • Abstract
    Template matching is rarely used for symbol recognition in practice because of the variation in scale, orientation, and line thickness and position found in actual images. An answer to this is to use an adaptable template, one that can be scaled and rotated easily. Here the use of such a template, based on vector representation of symbols, is explored. Results from handprinted digits and electronic symbols are presented
  • Keywords
    handwritten character recognition; image segmentation; image thinning; adaptable template; electronic symbols; handprinted digits; symbol recognition; vector representation; vector templates; Character recognition; Computer science; Computer vision; Electronic circuits; Humans; Image segmentation; Laboratories; Machine learning; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906146
  • Filename
    906146