Skip to main content
SpringerLink
Log in

Review on OCR for Handwritten Indian Scripts Character Recognition

  • Conference paper
Advances in Digital Image Processing and Information Technology (DPPR 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 205))

Abstract

Natural language processing and pattern recognition have been successfully applied to Optical Character Recognition (OCR). Character recognition is an important area in pattern recognition. Character recognition can be printed or handwritten. Handwritten character recognition can be offline or online. Many researchers have been done work on handwritten character recognition from the last few years. As compared to non-Indian scripts, the research on OCR of handwritten Indian scripts has not achieved that perfection. There are large numbers of systems available for handwritten character recognition for non-Indian scripts. But there is no complete OCR system is available for recognition of handwritten text in any Indian script, in general. Few attempts have been carried out on the recognition of Devanagari, Bangla, Tamil, Oriya and Gurmukhi handwritten scripts. In this paper, we presented a survey on OCR of these most popular Indian scripts.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pal, U., Chaudhuri, B.B.: Indian Script character recognition: a survey. Pattern Recognition 37, 1887–1899 (2004)

    Article  Google Scholar 

  2. Pal, U., Chaudhuri, B.B.: Script line separation from Indian multi –script documents. In: The Proceedings of 5th ICDAR, pp. 406–409 (1999)

    Google Scholar 

  3. Pal, U., Wakabayashi, T., Kimura, F.: A system for off-line Oriya handwritten character recognition using curvature feature. In: The Proceedings of 10th ICIT, pp. 227–229 (2007)

    Google Scholar 

  4. Chaudhuri, B.B., Pal, U.: An OCR System to Read Two Indian Language Scripts: Bangla and Devanagari (Hindi). In: The Proceedings of 4th ICDAR, vol. 2, pp. 1011–1015 (1997)

    Google Scholar 

  5. Bansal, V., Sinha, R.M.K.: Integrating Knowledge Sources in Devanagari Text Recognition. IEEE Transaction on Systems, Man and Cybernetics 30(4), 500–505 (2000)

    Article  Google Scholar 

  6. Mori, S., Yamamoto, K., Suen, C.Y.: Historical review of OCR research and development. Proceedings of the IEEE 80(7), 1029–1058 (1992)

    Article  Google Scholar 

  7. Kumar, D.: AI approach to hand written Devanagri script recognition. In: The Proceedings of IEEE Region 10th International Conference on EC3-Energy, Computer, Communication and Control Systems, vol. 2, pp. 229–237 (2008)

    Google Scholar 

  8. Hanmandlu, M., Murthy, O.V.R., Madasu, V.K.: Fuzzy model based recognition of handwritten Hindi characters. In: The Proceedings of 9th Biennial Conference of the Australian Pattern Recognition Society, pp. 454–461 (2007)

    Google Scholar 

  9. Sethi, K., Chatterjee, B.: Machine recognition of constrained hand-printed Devanagari numerals. J. Inst. Elec. Telecom. Engg. 22, 532–535 (1976)

    Google Scholar 

  10. Dey, L., Bajaj, R., Chaudhury, S.: Devanagari numeral recognition by combining decision of multiple connectionist classifier. Sadhana 27, 59–72 (2002)

    Article  Google Scholar 

  11. Chaudhuri, B.B., Majumder, D.D., Parui, S.K.: A procedure for recognition of connected hand written numerals. Int. J. Systems Sci. 13, 1019–1029 (1982)

    Article  Google Scholar 

  12. Pal, U., Roy, K., Kimura, F.: Bangla Handwritten Pin Code String Recognition for Indian Postal Automation. In: The Proceedings of 11th ICFHR, pp. 290–295 (2008)

    Google Scholar 

  13. Bishnu, A., Chaudhuri, B.B.: Segmentation of Bangla handwritten text into characters by recursive contour following. In: The Proceedings of 5th ICDAR, pp. 402–405 (1999)

    Google Scholar 

  14. Dutta, A., Chaudhury, S.: Bengali alpha-numeric character recognition using curvature features. Patter Recognition 26(12), 1757–1770 (1993)

    Article  Google Scholar 

  15. Pal, U., Belaid, A., Choisy, C.: Touching numeral segmentation using water reservoir concept. Elsevier Science Inc. 24(1), 261–272 (2003)

    Google Scholar 

  16. Bhattacharya, U., Gupta, B.K., Parui, S.K.: Direction code based features for recognition of online handwritten characters of Bangla. In: The Proceedings of 9th ICDAR, vol. 1, pp. 58–62 (2007)

    Google Scholar 

  17. Pal, U., Chaudhuri, B.B.: Skew Angle Detection of Digitized Indian Script Documents. IEEE Transactions on PAMI 19(2), 182–186 (1997)

    Article  MathSciNet  Google Scholar 

  18. Sundaram, S., Ramakrishnan, A.G.: Two Dimensional Principal Component Analysis for Online Tamil Character Recognition. In: The Proceedings of 11th ICFHR, pp. 88–94 (2008)

    Google Scholar 

  19. Aparna, K.H., Subramaniam, V., Kasirajan, M., Prakash, G.V., Chakravarthy, V.S., Madhvanath, S.: Online handwriting recognition for Tamil. In: The Proceedings of 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR), pp. 438–443 (2004)

    Google Scholar 

  20. Lehal, G.S., Singh, C.: A Gurmukhi Script Recognition System. In: The Proceedings of 15th International Conference on Pattern Recognition, vol. (2), pp. 557–560 (2000)

    Google Scholar 

  21. Sharma, D.V., Lehal, G.S.: An iterative algorithm for segmentation of isolated handwritten words in Gurmukhi script. In: The Proceedings of 18th ICPR, vol. 2, pp. 1022–1025 (2006)

    Google Scholar 

  22. Jindal, M.K., Lehal, G.S., Sharma, R.K.: Segmentation Problems and Solutions in Printed Degraded Gurmukhi Script. International Journal of Signal Processing 2(4), 258–267 (2005)

    Google Scholar 

  23. Jindal, M.K., Sharma, R.K., Lehal, G.S.: Segmentation of Horizontally Overlapping Lines in Printed Indian Scripts. International Journal of Computational Intelligence Research 3(4), 277–286 (2007)

    Article  Google Scholar 

  24. Sharma, A., Kumar, R., Sharma, R.K.: Online handwritten Gurmukhi character recognition using elastic matching. In: The Proceedings of Congress on Image and Signal Processing, vol. 2, pp. 391–396 (2008)

    Google Scholar 

  25. Acharya, D., Subba Reddy, N.V., Makkithaya, K.: Multilevel Classifiers in Recognition of Handwritten Kannada Numerals. In: The Proceedings of PWASET, vol. 2, pp. 284–289 (2008)

    Google Scholar 

  26. Rajashekararadhya, S.V., Ranjan, P.V.: Efficient Zone Based Feature Extraction Algorithm for Handwritten Numeral Recognition of Four Popular South Indian Scripts. Journal of Theoretical and Applied Information Technology 4(12), 1171–1181 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, GGS College for Women, Chandigarh, India

    Munish Kumar

  2. Department of Computer Science & Applications, Panjab University Regional Centre, Muktsar, India

    M. K. Jindal

  3. School of Mathematics & Computer Applications, Thapar University, Patiala, India

    R. K. Sharma

Authors
  1. Munish Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. K. Jindal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. K. Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Wireilla Net Solutions PTY Ltd, Melbourne, Victoria, Australia

    Dhinaharan Nagamalai

  2. Institut Telecom/Telecom SudParis, 9, rue Charles Fourier, 91011, Evry Cedex, France

    Eric Renault

  3. Manonmaniam Sundaranar University, Thirunelveli, Tamil Nadu, India

    Murugan Dhanuskodi

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kumar, M., Jindal, M.K., Sharma, R.K. (2011). Review on OCR for Handwritten Indian Scripts Character Recognition. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24055-3_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24054-6

  • Online ISBN: 978-3-642-24055-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation