• DocumentCode
    2029802
  • Title

    Segmentation of handwritten numerals by graph representation

  • Author

    Suwa, Misako ; Naoi, Satoshi

  • Author_Institution
    Fujitsu Labs. Ltd., Kawasaki, Japan
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    334
  • Lastpage
    339
  • Abstract
    A new algorithm is proposed for segmenting simply and multiply connected digits. It also removes ligatures. After thinning the pattern, the edges and vertices are extracted and the pattern is represented as a connected graph. Then the matrices relating to the graph are calculated. To determine the segmentation path, both graph theory techniques and heuristic rules are used. The boundaries of digits are calculated to make the width of touching strokes uniform. The separated digits thus have a more natural shape than can be achieved using algorithms that split patterns using straight lines or line segments.
  • Keywords
    feature extraction; graph theory; handwritten character recognition; image segmentation; edge extraction; graph representation; graph theory techniques; handwritten numerals segmentation; heuristic rules; vertices extraction; Feature extraction; Focusing; Graph theory; Image segmentation; Pixel; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
  • ISSN
    1550-5235
  • Print_ISBN
    0-7695-2187-8
  • Type

    conf

  • DOI
    10.1109/IWFHR.2004.91
  • Filename
    1363933