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A New Technique for Line Segmentation of Handwritten Hindi Text

Published on December 2011 by Saiprakash Palakollu, Renu Dhir, Rajneesh Rani
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International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 5
December 2011
Authors: Saiprakash Palakollu, Renu Dhir, Rajneesh Rani
a6fa3e5d-b4a3-4ef8-b73c-2b54809c72aa

Saiprakash Palakollu, Renu Dhir, Rajneesh Rani . A New Technique for Line Segmentation of Handwritten Hindi Text. International Conference on Electronics, Information and Communication Engineering. ICEICE, 5 (December 2011), 1-4.

@article{
author = { Saiprakash Palakollu, Renu Dhir, Rajneesh Rani },
title = { A New Technique for Line Segmentation of Handwritten Hindi Text },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 5 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /specialissues/iceice/number5/4279-iceice033/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Saiprakash Palakollu
%A Renu Dhir
%A Rajneesh Rani
%T A New Technique for Line Segmentation of Handwritten Hindi Text
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 5
%P 1-4
%D 2011
%I International Journal of Computer Applications
Abstract

This paper mainly deals with the new method for line segmentation of Handwritten Hindi text. Line segmentation is the major task in segmentation process. If line segmentation fails word segmentation and character segmentation fails automatically. In this paper we have discussed an algorithm to detect header line and base lines accurately so that we can divide the lines correctly. The average line height is estimated, before calculating the header line and base lines. Performance of this method is checked on the 500 lines of different handwritten documents.

References
  1. B. M. Sagar, G. Shobha, P. Ramakanth kumar, “Character Segmentation Algorithms for Kannada optical character recognition”, Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, 2008.
  2. Seong-whan Lee, Dong-June Lee, Hee-Seon Park, “A new Methodology for Gray-Scale Character Segmentation and Recognition”, IEEE transactions on pattern analysis and machine intelligence, 1996.
  3. Satadal Saha, Subhadip Basu, Mita Nasipuri and Dipak Kr. Basu, “A Hough Transform based Technique for Text Segmentation”, journal of computing, 2010.
  4. Y. Li, Y. Zheng, D. Doermann, and S. Jaeger, “A new algorithm for detecting text line in handwritten document”, in the proceedings of International Workshop on Frontiers in Handwriting Recognition, 2006.
  5. L. Likforman-Sulem and C. Faure, “Extracting text lines in handwritten documents by perceptual grouping”, Advances in handwriting and drawing : a multidisciplinary approach, C. Faure, P. Keuss, G. Lorette and A. Winter Eds, Europia, Paris, 1994.
  6. I.S.I. Abuhaiba, S. Datta and M. J. J. Holt, “Line Extraction and Stroke Ordering of Text Pages”, in the Proceedings of Third International Conference on Document Analysis and Recognition, Montreal, Canada, 1995.
  7. C. Weliwitage, A. L. Harvey and A. B. Jennings, “Handwritten Document Offline Text Line Segmentation”, in the Proceedings of Digital Imaging Computing: Techniques and Applications, 2005.
  8. A. Zahour, B. Taconet, L. Likforman-Sulem and Wafa Boussellaa, “Overlapping and multi-touching text-line segmentation by Block Covering analysis”, Pattern analysis and applications, 2008.
  9. Raghuraj Singh, C. S. Yadav, Prabhat Verma, “Optical Character Recognition (OCR) for Printed Devnagari Script Using Artificial Neural Network”, International Journal of Computer Science & Communication, 2010.
  10. Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal, “Segmentation of Handwritten Hindi Text”, International Journal of Computer Applications (0975 – 8887), 2010.
  11. Naresh Kumar Garg, Lakhwinder Kaur, MK. Jindal, “A New Method for Line Segmentation of Handwritten Hindi Text”, Seventh International Conference on Information Technology, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Text line segmentation projection average line height header line base line detection