• DocumentCode
    1583930
  • Title

    Water reservoir based approach for touching numeral segmentation

  • Author

    Pal, Umapada ; Belai, A. ; Choisy, C.

  • Author_Institution
    Group READ, LORIA, Vandoeuvre-les-Nancy, France
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    892
  • Lastpage
    896
  • Abstract
    Deals with a scheme for automatic segmentation of unconstrained handwritten connected numerals. The scheme is mainly based on features obtained from a new concept based on a water reservoir. A reservoir is a metaphor to illustrate the region where numerals touch. The reservoir is obtained by considering accumulation of water poured from the top or from the bottom of the numerals. At first, considering the reservoir location and size, touching positions (top, middle and bottom) are decided. Next, by analyzing the reservoir boundary, touching position and topological features of the touching pattern, the best cutting point is determined. Finally, combined with morphological structural features the cutting path for segmentation is generated
  • Keywords
    feature extraction; handwritten character recognition; image classification; image segmentation; automatic segmentation; best cutting point; morphological structural features; topological features; touching numeral segmentation; touching position; unconstrained handwritten connected numerals; water reservoir based approach; Computer vision; Handwriting recognition; Joining IEEE; Pattern analysis; Pattern recognition; Reservoirs; Water resources; Water storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7695-1263-1
  • Type

    conf

  • DOI
    10.1109/ICDAR.2001.953915
  • Filename
    953915