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Reseach Article

A Comparative Study of Handwritten Marathi CharacterRecognition

Published on March 2012 by P.E.Ajmire, RV Dharaskar, V M Thakare
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 10
March 2012
Authors: P.E.Ajmire, RV Dharaskar, V M Thakare
a5cdd366-0394-451d-8a74-b08f975f06fa

P.E.Ajmire, RV Dharaskar, V M Thakare . A Comparative Study of Handwritten Marathi CharacterRecognition. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 10 (March 2012), 26-28.

@article{
author = { P.E.Ajmire, RV Dharaskar, V M Thakare },
title = { A Comparative Study of Handwritten Marathi CharacterRecognition },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 10 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 26-28 },
numpages = 3,
url = { /proceedings/ncipet/number10/5266-1078/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A P.E.Ajmire
%A RV Dharaskar
%A V M Thakare
%T A Comparative Study of Handwritten Marathi CharacterRecognition
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 10
%P 26-28
%D 2012
%I International Journal of Computer Applications
Abstract

The different pattern recognition models have been proposed in recent years and the different research groups are working on for the recognition result.Handwritten character recognition for any Indian writing system is rendered complex because of the presence of composite characters. Hence the selection of a feature extraction method is probably the most important factor in achieving high recognition performance for Marathi character recognition.The goal of this paper is to present comparative study of various character recognition techniques used for feature extraction and recognition of handwritten Marathi character.

References
  1. I.A. Jannoud ?Automatic Arabic Hand Written Text Recognition System? American Journal of Applied Sciences 4 (11): 857-864, 2007.
  2. Tour Wakahara, Y. Kimura &Mutsuo? HandwrittenJapanees Character Recognition Using Adaptive Normalization by Global Affine Transformation.? Proc. 6th ICDAR Vol., Issue , 2001.
  3. J.L.Mitrpanont, U. Limkonglap ?Using Countour Analysis to improve Feature Extraction in Thai Handwritten Character Recognition Systems? Proc. 7th IEEE ICCIT , 2007.
  4. U.Pal, N.Sharma, T.Wakabayashi and F. Kimura. ?Off-line Handwritten character recognition of Devnagari Script? 9th ICDAR, 2007.
  5. T.K.Bhowmik, A Roy & U Roy ?Character Segmentation for Handwritten Bangla Words using Artificial Neural Network? Proc.1st IAPR TC3 NNLDAR, 2005.
  6. Cheng-Lin Liu, Member, Stefan Jaeger, and Masaki Nakagawa ?Online Recognition of Chinese Characters: The State-of-the-Art? IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 26, NO. 2, FEBRUARY 2004.
  7. VeenaBansal and R. M. K. Sinha ?Segmentation of Touching Characters in Devanagari? Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India.
  8. U. Pal A. Belaid B. B. Chaudhuri ?A System for Bangla Handwritten Numeral Recognition? Indian Statistical Institute, Culcutta.
  9. Cheng-Lin Liu, Member, Stefan Jaeger, and Masaki Nakagawa ?Online Recognition of Chinese Characters: The State-of-the-Art? IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 26, NO. 2, FEBRUARY 2004.
  10. R. Bajaj , L. Dey and SantanuChaudhury ?Devnagari numeral recognition by combining decision of multiple connectionist classifiers? Sadhana Vol. 27, Part 1, pp.59-72, February 2002.
  11. R.W.S. Tregidgo and A.C. Downton ?High Performance English Character Recognition for off-line Handwritten British Post Codes? Dept. of Electronic System Engineering, University of Essex, UK.
  12. Chin Keong Lee and Graham Leedham ?An Intelligent System for Conflict Resolution in Handwritten Address Recognition? International Journal of Information Technology, Vol. 12 No. 1.
  13. SREELA SASI LOREN SCHWIEBERT, ? Dept. of Electrical Engineering, University of Idaho, Moscow & JATINDER SINGH BEDI Dept. of Electrical Engineering and Computer Engineering, Wayne State University, Detroit, ?WAVELET PACKET TRANSFORM AND NEURO-FUZZY APPROACH TO HANDWRITTEN CHARACTER RECOGNITION?
  14. Ismael Ahmad Jannoud ?Automatic Arabic Hand Written Text Recognition System? American Journal of Applied Sciences 4 (11):p.no. 857-864, Science Publications 2007.
  15. Jarernsri L. Mitrpanont, and UrairatLimkonglap ?Using Contour Analysis to Improve Feature Extraction in Thai Handwritten Character Recognition Systems? Seventh International Conference on Computer and Information Technology, pp. 668-673 IEEE, 2007.
  16. Dr. P. S. Deshpande, Mrs. Latesh Malik, Mrs. SandhyaArora ?Handwritten Devnagari Character Recognition Using Connected Segments And Minimum Edit Distance? IEEE 2007.
  17. R. J. Ramteke, P. D. Borkar, S. C. Mehrotra ?Recognition of Isolated Marathi Handwritten Numerals: An Invariant Moments Approach?, Proceedings of the International Conference on Cognition and Recognition.
  18. Ajmire P.E. and Warkhede S.E. ?Handwritten Marathi character (vowel) recognition? Advances in Information Mining, ISSN: 0975–3265, Volume 2, Issue 2, 201
  19. H. Swethalakshmi1, Anitha Jayaraman1, V. Srinivasa Chakravarthy2, C. Chandra Sekhar ?Online Handwritten Character Recognition of Devanagari and Telugu Characters using Support Vector Machines? Indian Institute of Technology Madras, Chennai - 600 036, India.
  20. Ovind Due Trier, Anil K Jain and TorfinnTaxt ?Feature extraction methods for Character Recognition-A Survey? Pattern Recognition, Vol 29, N0.4 pp 641-662. 1996.
  21. Richard G Casey and Eric Lecolinet ?A Survey of methods and Strategies in Character Segmentation? IEEE Transaction on Pattern Analysis and Machine intelligence. Vol 18, N0.7 July 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Feature Extraction Handwritten character recognition Pattern matching