• DocumentCode
    383405
  • Title

    Efficient estimation of pen trajectory from off-line handwritten words

  • Author

    Al-Ohali, Y. ; Cheriet, Mohamed ; Suen, Ching

  • Author_Institution
    CENPARMI, Concordia Univ., Montreal, Que.
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    323
  • Abstract
    This paper presents an easy and efficient method to estimate the pen trajectory based on minimizing the pen movement. Given start and end vertices, the complexity of the proposed algorithm is linear. In addition, the algorithm clearly identifies alternatives that do not affect the overall length of the pen trajectory, making enough room for other criteria, e.g. vision rules, to be applied.
  • Keywords
    computational complexity; handwritten character recognition; minimisation; trees (mathematics); computational complexity; graph representation; handwriting words recognition; off-line images; pen movement; pen trajectory estimation; traversal algorithm; tree transformation; Image motion analysis; Information systems; Intelligent sensors; Intelligent systems; Layout; Motion detection; Motion estimation; Optical sensors; Parametric statistics; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1044705
  • Filename
    1044705