• DocumentCode
    3059701
  • Title

    Background region-based algorithm for the segmentation of connected digits

  • Author

    Cheriet, M. ; Huang, Y.S. ; Suen, C.Y.

  • Author_Institution
    Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    619
  • Lastpage
    622
  • Abstract
    The authors propose a character segmentation algorithm which is a region-based approach using background pixels. Some interesting background regions are found automatically by performing two independent filtering steps: top-down filtering and bottom-up filtering. Relationships between the resulting background components are considered to select plausible regions favorable to segmentation. For preliminary experimentation, the authors collected 120 samples of connected digits written by 12 people, 97 pairs were successfully segmented
  • Keywords
    character recognition; filtering and prediction theory; image segmentation; background pixels; bottom-up filtering; character recognition; character segmentation algorithm; connected digits; region-based approach; top-down filtering; Algorithm design and analysis; Filtering; Handwriting recognition; Image analysis; Image segmentation; Machine intelligence; Partitioning algorithms; Pattern recognition; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2915-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201853
  • Filename
    201853