CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Segmentation of Handwritten Hindi Text

by Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 4
Year of Publication: 2010
Authors: Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal
10.5120/108-222

Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal . Segmentation of Handwritten Hindi Text. International Journal of Computer Applications. 1, 4 ( February 2010), 19-23. DOI=10.5120/108-222

@article{ 10.5120/108-222,
author = { Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal },
title = { Segmentation of Handwritten Hindi Text },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 4 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number4/108-222/ },
doi = { 10.5120/108-222 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:44:09.444239+05:30
%A Naresh Kumar Garg
%A Lakhwinder Kaur
%A M. K. Jindal
%T Segmentation of Handwritten Hindi Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 4
%P 19-23
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main purpose of this paper is to provide the new segmentation technique based on structure approach for Handwritten Hindi text. Segmentation is one of the major stages of character recognition. The handwritten text is separated into lines, lines into words and words into characters. The errors in segmentation propagate to recognition. The performance is evaluated on handwritten data of 1380 words of 200 lines written by 15 different writers. The overall results of segmentation are very promising.

References
  1. S. Mori, C. Y. Suen and K. Yamamoto, "Historical review of OCR Research and development", Proceedings of the IEEE, Vol. 80, pp. 1029-1058, 1992.
  2. K. Sethi, "Machine recognition of Constrained hand printed Devanagari", Pattern Recognition, pp.69-75, 1977.
  3. A. Zahour, B. Taconet, P. Mercy, and S. Ramdane, "Arabic Hand-written Text-line Extraction", Proceedings of the Sixth International. Conference on Document Analysis and Recognition, ICDAR, Seattle, USA, pp. 281-285,2001.
  4. N. Tripathy and U. Pal., "Handwriting Segmentation of unconstrained Oriya Text," International Workshop on Frontiers in Handwriting Recognition, pp. 306-311,2004.
  5. G. Louloudis, B. Gatos, I. Pratikakis and K. Halatsis, "A Block Based Hough Transform Mapping for Text Line Detection in Handwritten Documents", Proceedings of the Tenth International Workshop on Frontiers in Handwriting Recognition, La Baule, pp. 515-520, 2006.
  6. Y. Li, Y. Zheng, D. Doermann, and S. Jaeger, "A new algorithm for detecting text line in handwritten documents," in International Workshop on Frontiers in Handwriting Recognition, pp. 35-40, 2006.
  7. 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, pp. 117-135, 1994.
  8. I.S.I. Abuhaiba, S. Datta and M.J.J. Holt, ''Line Extraction and Stroke Ordering of Text Pages'', Proceedings of the Third International Conference on Document Analysis and Recognition, Montreal, Canada, pp. 390-393, 1995.
  9. C. Weliwitage, A. L. Harvey and A. B. Jennings, "Handwritten Document Offline Text Line Segmentation", Proceedings of Digital Imaging Computing: Techniques and Applications, pp. 184-187, 2005.
  10. 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.
  11. B. A. Srinivas, A. Agarwal, and C. R. Rao, "An overview of OCR research in Indian Scripts", International Journal of Computer Science and Engineering Systems, pp.141-153, 2008.
  12. Veena Bansal, "Integrating knowledge sources in Devanagari text recognition", Ph.D. thesis, IIT Kanpur, INDIA, 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Segmentation line segmentation word segmentation character segmentation lower modifier upper modifier Header line Base line

Powered by PhDFocusTM