Call For Paper Volume:4 Issue:8 Aug'2017 |

A Study of Various Segmentation Techniques for Cursive Handwritten Words Recognition

Publication Date : 14/09/2015



Author(s) :

N Sivashanmugam.


Volume/Issue :
Volume 2
,
Issue 9
(09 - 2015)



Abstract :

Cursive handwriting recognition is a challenging task for many real world applications such as document authentication, form processing, postal address recognition, reading machines for the blind, bank cheque recognition and interpretation of historical documents. Therefore, in the last few decades the researchers have put enormous effort to develop various techniques for handwriting segmentation and recognition. This review presents the segmentation strategies for automated recognition of off-line unconstrained cursive handwriting from static surfaces. This paper reviews many basic and advanced techniques and also compares the research results of various researchers in the domain of handwritten words segmentation.


No. of Downloads :

27


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A Study of Various Segmentation Techniques for Cursive Handwritten Words Recognition

September 11, 2015