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
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;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
DOI :
10.1109/ICACCCT.2014.7019349