• DocumentCode
    238046
  • Title

    A comprehensive survey of 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
    1462
  • Lastpage
    1465
  • 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 techniques available which performs the segmentation of the handwritten input. The aim of this paper is to do survey of various techniques and find out the best among them.
  • Keywords
    handwritten character recognition; image segmentation; mobile computing; notebook computers; touch sensitive screens; PDA; handwritten character segmentation; handwritten input; mobiles; multiple segments; recognition system; segmentation tool; tablets; touch devices; Character recognition; Computers; Conferences; Handwriting recognition; Hidden Markov models; Image segmentation; White spaces;
  • 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.2014.7019344
  • Filename
    7019344