• DocumentCode
    3443887
  • Title

    A new methodology of online handwritten English character segmentation based on rules

  • Author

    Zhang, Liangwen ; Bai, Gang ; Xuan, Chenggen

  • Author_Institution
    Coll. of Inf. Tech. Sci., Nankai Univ., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    670
  • Lastpage
    674
  • Abstract
    This paper proposes an online handwritten English characters segmentation method based on rules. Firstly, all the local minima of the character coordinate sequences are treated as potential segmentation points; Secondly, we calculate 5 features of every potential segmentation point; Finally, the potential segmentation points are modified according to the rules to get the final segmentation points. The modification contains shift, deletion and maintenance. Thus, the coordinate sequences of characters are segmented to sub-sequences of characters by the final segmentation points. The experiment conducted on UNIPEN database shows that our method is feasible and effective.
  • Keywords
    handwritten character recognition; image segmentation; image sequences; natural language processing; UNIPEN database; character coordinate sequences; online handwritten English character segmentation method; potential segmentation points; Character recognition; Handwriting recognition; English character segmentation; handwritten; online; recognition; rules; stroke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658513
  • Filename
    5658513