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The Hazards in Segmentation of Handwritten Hindi Text

by Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 2
Year of Publication: 2011
Authors: Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal
10.5120/3536-4830

Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal . The Hazards in Segmentation of Handwritten Hindi Text. International Journal of Computer Applications. 29, 2 ( September 2011), 30-34. DOI=10.5120/3536-4830

@article{ 10.5120/3536-4830,
author = { Naresh Kumar Garg, Lakhwinder Kaur, M. K. Jindal },
title = { The Hazards in Segmentation of Handwritten Hindi Text },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 2 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number2/3536-4830/ },
doi = { 10.5120/3536-4830 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:43.705333+05:30
%A Naresh Kumar Garg
%A Lakhwinder Kaur
%A M. K. Jindal
%T The Hazards in Segmentation of Handwritten Hindi Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 2
%P 30-34
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical Character Recognition (OCR) is a process to recognize the handwritten or printed scanned text with the help of a computer. Segmentation is very important stage of any text recognition system. The problems in segmentation can lead to decrease in segmentation rate and hence recognition rate. A good segmentation technique can improve the recognition rate. This paper deals with the hazards that occur in segmentation of handwritten Hindi text. We also explained the main reasons for some of these problems.

References
  1. Mori, S., Suen, C. Y. and Yamamoto, K. 1992. Historical review of OCR Research and development. In Proceedings of the IEEE, Vol. 80, No. 7, pp. 1029-1058.
  2. Zahour, A., Taconet, B., Mercy, P., and Ramdane, S. 2001. Arabic Hand-written Text-line Extraction. In Proceedings of the Sixth International Conference on Document Analysis and Recognition, ICDAR, pp. 281–285.
  3. Tripathy, N. and Pal.,U. 2004. Handwriting Segmentation of unconstrained Oriya Text. In International Workshop on Frontiers in Handwriting Recognition, pp. 306–311.
  4. Louloudis, G., Gatos, B., Pratikakis I. and Halatsis K. 2006. A Block Based Hough Transform Mapping for Text Line Detection in Handwritten Documents. In Proceedings of the Tenth International Workshop on Frontiers in Handwriting Recognition, pp.515-520.
  5. Li, Y., Zheng, Y., Doermann, D. and Jaeger, S. 2006. A new algorithm for detecting text line in handwritten documents. In Proceedings of the Tenth International Workshop on Frontiers in Handwriting Recognition, pp. 35–40.
  6. Zahour, A., Taconet, B., Likforman-Sulem, L. and Wafa Boussellaa. 2008. Overlapping and multi-touching text line segmentation by Block Covering analysis. Pattern Analysis and Applications, Vol. 12, pp. 335-351,.
  7. Jindal, M. K., Sharma, R. K. and Lehal, G. S. 2007. Segmentation of Horizontally Overlapping Lines in Printed Indian Scripts. In International Journal of Computational Intelligence Research (IJCIR), Research India Publications, Vol. 3, No. 4, pp. 277-286.
  8. Bansal, Veena. 1999. Integrating knowledge sources in Devanagari text recognition. Ph.D. thesis, IIT Kanpur, INDIA.
  9. Jindal, M. K., Lehal, G. S. and Sharma, R. K. 2009. On Segmentation of touching characters and overlapping lines in degraded printed Gurmukhi script. In International Journal of Image and Graphics (IJIG), World Scientific Publishing Company, Vol. 9, No. 3, pp. 321-353.
  10. Jindal, M. K., Sharma, R. K. and Lehal, G. S. 2009. Segmentation of Touching Characters in Upper Zone in printed Gurmukhi Script. In Proceedings of the 2nd Bangalore Annual Compute Conference, Banglore, ACM, No. 9.
  11. Chaudhuri, B. B., Pal, U. and Mitra, M. 2001. Automatic recognition of printed oriya Script. In International Conference on Document Analysis and Recognition, pp. 795–799.
  12. Garain U. and Chaudhuri, B. B. 2002. Segmentation of touching characters in printed Devnagari and Bangla scripts using fuzzy Multifactorial Analysis. IEEE Transactions on Systems, Man and Cybernetics. Part C, Vol. 4, No. 32, pp. 449–459.
  13. Garg, Naresh Kumar, Kaur, Lakhwinder and Jindal, M. K. 2010. Segmentation of Handwritten Hindi Text. In International Journal of Computer Applications (IJCA), Vol. 1, No. 4, pp. 22-26.
  14. Garg, Naresh Kumar, Kaur, Lakhwinder and Jindal, M. K. 2010. A new method for line segmentation of Handwritten Hindi Text. In Proceedings of the IEEE 7th International Conference on Information Technology: New Generations (ITNG 2010), pp.392-397.
  15. Garg, Naresh Kumar, Kaur, Lakhwinder and Jindal, M. K. 2011. Half character segmentation of Handwritten Hindi Text. In Proceedings of ICISIL2011, pp.48-53.
Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition Segmentation Hazards in segmentation

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