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A Review on Offline Handwritten Recognition of Devnagari Script

by Snehal S.patwardhan, R.r. Deshmukh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 20
Year of Publication: 2015
Authors: Snehal S.patwardhan, R.r. Deshmukh
10.5120/20669-3300

Snehal S.patwardhan, R.r. Deshmukh . A Review on Offline Handwritten Recognition of Devnagari Script. International Journal of Computer Applications. 117, 20 ( May 2015), 7-10. DOI=10.5120/20669-3300

@article{ 10.5120/20669-3300,
author = { Snehal S.patwardhan, R.r. Deshmukh },
title = { A Review on Offline Handwritten Recognition of Devnagari Script },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 20 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number20/20669-3300/ },
doi = { 10.5120/20669-3300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:54.371906+05:30
%A Snehal S.patwardhan
%A R.r. Deshmukh
%T A Review on Offline Handwritten Recognition of Devnagari Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 20
%P 7-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In country like India, where many languages and scripts exist , Devanagari is third most widely used script, used for several major languages such as Marathi ,Hindi, Sanskrit, and Nepali, and is used by more than 500 million people. Character Recognition is a process by which a computer recognizes letters, numbers, or symbols and turns them into a digital form that a computer can use and it is an active field of research today. It comprises of Pattern Recognition and Image Processing. Character Recognition is broadly categorized into Optical Character Recognition (OCR) and Handwritten Character Recognition (HCR). OCR system is most suitable for the applications like multi choice examinations, printed postal address resolution etc, while application of HCR is wider as compared to OCR. Feature extraction and classification are essential steps of character recognition process affecting the overall accuracy of the recognition system. There is not much work has been done towards off-line handwriting recognition of Devanagari script. This paper gives a detailed overview of different feature extraction and classification techniques for recognition process Devanagari script by the researchers over the past few decades.

References
  1. U. Pal, and B. B. Chaudhari, "Indian Script Character Recognition: a Survey", IJSER, vol. 37, Issue 9, pp. 1887-1899, 2004.
  2. Ghosh D. , Tulika Dube, and Adamane P. Shivaprasad, "Script Recognition—A Review", IEEE Transactions on pattern analysis and machine intelligence, vol. 32, no. 12, december 2010.
  3. U. Pal, N. Sharma, T. Wakabayashi and F. Kimura, "Off- Line Handwritten Character Recognition of Devnagari Script", In Proc. 9th ICDAR, pp. 496-500, 2007.
  4. R. Plamondon and S. N. Srihari, "On-Line and off-line handwritten recognition: A comprehensive survey", IEEE Trans on PAMI, Vol. 22, pp. 62-84, 2000.
  5. U. Pal, T. Wakabayashi, and F. Kimura, "Comparative study of Devanagari handwritten character recognition using different features and classifiers," in Proc. 10th Conf. Document Anal. Recognit. , pp. 1111–1115,2009.
  6. P. M. Kakde, S. M. Gulhane, "Handwritten Devnagari Script Recognition :A Review", IJETAE,ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 9, September 2014.
  7. A. S. Ramteke, M. E. Rane, "A Survey on Offline Recognition of Handwritten Devanagari Script" International Journal of Scientific & Engineering Research Volume 3, Issue 5, ISSN 2229-5518, May-2012.
  8. R. Jayadevan, S. R. Kolhe, P. M. Patil, & U. Pal‚"Offline Recognition of Devanagari Script: A Survey",IEEE transactions on systems, man, and cybernetics—part c: applications and reviews. Nov 17, 2010.
  9. S. M. Mali , "Moment And Density Based Hadwritten Marathi Numeral Recognition", ISSN : 0976-5166 Vol. 3 No. 5 Oct-Nov 2012
  10. N. Sharma, U. Pal, F. Kimura, and S. Pal, " Recognition of Off-Line Handwritten Devnagari Characters Using Quadratic Classifier", P. Kalra and S. Peleg (Eds. ): ICVGIP 2006, LNCS 4338, pp. 805 – 816, 2006. © Springer-Verlag Berlin Heidelberg 2006.
  11. Veena Bansal, M K Sinha, "A Complete OCR for printed Hindi Text in Devanagari Script", IEEE 800 – 804,2001 .
  12. Sinha. M. K. , Mahabala. , "Machine Recognition of Devnagari Script", IEEET. SYST. MAN Cyb. , vol. . 9,pp. 435-449,1979.
  13. Sandhya Arora , "A Two Stage Classification Approach for Handwritten Devanagari Characters", IEEE 399 - 403 vol 2.
  14. A. Bharat, S. Madhvanath , "HMM Based lexicon–driven & lexicon-free Word Recognition for Online Handwritten Indic Scripts", IEEE transc vol 34,no. 4,April 2012.
  15. A. N. Holambe, R. C. Thool, S. M. Jagade, "Printed and Handwritten Character & Number Recognition of Devanagari Script using Gradient Features", International Journal of Computer Applications (0975 – 8887)Volume 2 – No. 9, June 2010
  16. S. B. Patil,G. R. Sinha, V. S. Patil, "Isolated Handwritten Devnagari Numerals Recognition Using HMM" 978-0-7695-4329-1 © 2011 IEEE DOI 10. 1109/EAIT,2011.
  17. G. Sinha,R. Rani,R. Dhir, "Handwritten Devanagari Numeral Recognition Using Zonal Based Feature Extraction Method and SVM Classifier ",IJARCSSER Volume 2, Issue 6, ISSN: 2277 128, June 2012.
  18. U. Pal, T. Wakabayashi, and F. Kimura, "Comparative study of Devanagari handwritten character recognition using different features and classifiers," in Proc. 10th Conf. Document Anal. Recognit. , pp. 1111–1115,2009.
  19. U. Pal, T. Wakabayashi, N. Sharma, and F. Kimura, "Handwritten numeral recognition of six popular Indian scripts," in Proc. 9th Conf. Document Anal. Recognition, pp. 749–753, 2007.
  20. B. Shaw, S. K. Parui, and M. Shridhar, "Off-line handwritten Devanagari word recognition: A holistic approach based on directional chain code feature and HMM," in Proc. Int. Conf. Inf. Technol. , pp. 203–208,2008.
  21. S. Kumar, "Performance comparison of features on Devanagari handprinted dataset," Int. J. Recent Trends, vol. 1, no. 2, pp. 33–37, 2009.
  22. Kumar, D. , "AI approach to hand written Devanagri script recognition", The Proceedings of IEEE Region 10th International Conference on EC3-Energy, Computer, Communication and Control Systems, vol. 2, pp. 229–237 ,2008.
Index Terms

Computer Science
Information Sciences

Keywords

Devanagari Character and Numeral Recognition Offline Handwritten Recognition Feature Extraction Classification

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