• DocumentCode
    2501088
  • Title

    Optimization of line segmentation techniques for Thai handwritten documents

  • Author

    Surinta, Olarik

  • Author_Institution
    Dept. of Manage. Inf. Syst., Mahasarakham Univ., Mahasarakham, Thailand
  • fYear
    2009
  • fDate
    20-22 Oct. 2009
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    The purpose of the research is to study the optimization of line segmentation techniques for Thai handwritten documents. This research considered only single-column of Thai documents. The author proposed two new techniques including comparing Thai character and sorting and distinguishing. These two techniques were used with recognized techniques on the basis of projection profile (including horizontal projection profile and stripe) in the experiment. The outcome of this research suggested that the best technique for single-column Thai documents is the new technique for sorting and distinguishing, this technique provide the accuracy of 97.11%.
  • Keywords
    document image processing; handwritten character recognition; image segmentation; natural languages; sorting; Thai handwritten document; horizontal projection profile; line segmentation technique; optimization; sorting; stripe projection profile; Handwriting recognition; Image segmentation; Informatics; Management information systems; Natural language processing; Sorting; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-4138-9
  • Electronic_ISBN
    978-1-4244-4139-6
  • Type

    conf

  • DOI
    10.1109/SNLP.2009.5340921
  • Filename
    5340921