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
Link To Document :
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