• DocumentCode
    238055
  • Title

    A platform independent methodology for on-line handwritten character segmentation

  • Author

    Vyas, Mayur ; Verma, K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Thapar Univ., Patiala, India
  • fYear
    2014
  • fDate
    8-10 May 2014
  • Firstpage
    1480
  • Lastpage
    1483
  • Abstract
    Handwritten character segmentation is the process of dividing a character into multiple segments so that it can be passed to the recognition system and on the basis of these segments the recognition system can recognize that particular character. In this process user provides the input through any touch devices like PDA, Mobiles or by the Tablets and the segmentation tool takes the input and break the character into segments. There are various tools available which performs the segmentation but no one is available in all the platforms. The aim of this paper is to implement a tool which does not segment the characters on the basis of their shapes. Instead of segmenting the character on the basis of their shapes, it divides the character into the points. It finds the co-ordinate of the every point where pen move from the pen down to pen up. This is a platform independent tool that runs online on any browser which is HTML5 enabled. Since it does not depend upon the shape of the character, thus it segments more efficiently than other tools.
  • Keywords
    handwritten character recognition; image segmentation; HTML5; PDA; browser; online handwritten character segmentation; platform independent methodology; tablets; touch devices; Character recognition; Handwriting recognition; Image segmentation; Optical character recognition software; Shape; Standards; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4799-3913-8
  • Type

    conf

  • DOI
    10.1109/ICACCCT.2014.7019349
  • Filename
    7019349