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Text Line Segmentation of Handwritten Documents using Clustering Method based on Thresholding Approach
IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012
© 2012 by IJCA Journal
NCACC - Number 1
Year of Publication: 2012
Ravi M Kumar, Nayana N Shetty and B P Pragath. Article: Text Line Segmentation of Handwritten Documents using Clustering Method based on Thresholding Approach. IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012 NCACC(1):9-12, August 2012. Full text available. BibTeX
@article{key:article,
author = {M. Ravi Kumar and Nayana N Shetty and B. P. Pragath},
title = {Article: Text Line Segmentation of Handwritten Documents using Clustering Method based on Thresholding Approach},
journal = {IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012},
year = {2012},
volume = {NCACC},
number = {1},
pages = {9-12},
month = {August},
note = {Full text available}
}
Abstract
Segmentation of the text lines in an un-constrained handwritten documents still a challenging task because handwritten text lines are often un-uniformly skewed and curved, and the space between lines is not obvious. In this paper, we propose a text-line segmentation algorithm based on clustering using threshold. The connected components of document image are grouped, from which text-lines are extracted dynamically by coloring all the text-lines.
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