NDLI: A platform independent methodology for on-line handwritten character segmentation

Content Provider	IEEE Xplore Digital Library
Author	Vyas, Mayur Verma, Karun
Copyright Year	2014
Description	Author affiliation: Dept. of Computer Science and Engineering, Thapar University, Patiala, Punjab, India (Vyas, Mayur; Verma, Karun)
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.
Starting Page	1480
Ending Page	1483
File Size	178428
Page Count	4
File Format	PDF
e-ISBN	9781479939145
DOI	10.1109/ICACCCT.2014.7019349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Image segmentation Shape Writing Character recognition Optical character recognition software Standards
Content Type	Text
Resource Type	Article

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