Handwritten Tamil Character Recognition Using Zernike Moments and Legendre Polynomial

  • Amitabh Wahi
  • S. Sundaramurthy
  • P. Poovizhi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 325)


Optical character recognition systems have been effectively developed for recognizing the printed characters of many non-Indian languages such as English and Chinese. At early stages, few research works were carried out for recognizing the handwritten characters, and now, various efforts are on the way for the development of efficient systems for recognizing the Indian languages, especially for Tamil, a south Indian language widely used in Tamilnadu, Pudhucherry, Singapore, and Srilanka. In this paper, an OCR system is developed for the recognition of basic characters in handwritten Tamil language, which can handle different font sizes and font types. Zernike moments and Legendre polynomial which have been used in pattern recognition are used in this system to extract the features of handwritten Tamil characters. A comparative study is performed in this paper. Feed forward back propagation neural classifier has been used for the classification of Tamil characters.


Character Recognition Zernike Moment Indian Language Handwritten Character Zernike Polynomial 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    R. Plamondan, S.N. Srihari, Online and offline handwriting recognition: A comprehensive survey. IEEE Trans. PAMI 22(1), 63–84 (2000)CrossRefGoogle Scholar
  2. 2.
    U. Pal, B.B. Chaudhuri (2004), Indian script character recognition: a survey. Pattern Recognit., 37, pp. 1887–1899Google Scholar
  3. 3.
    T. Paulpandian, V. Ganapathy, Translation and scale invariant recognition of handwritten Tamil characters using hierarchical neural networks. IEEE International Symposium on Circuits and Systems. 4, pp. 2439–2441 (1993)Google Scholar
  4. 4.
    N. Shanthi, K. Duraiswami, A novel SVM-based handwritten Tamil character recognition system. Pattern Anal Appl. 13(2), 173–180 (2010)CrossRefMathSciNetGoogle Scholar
  5. 5.
    R. Ramanathan, S. Ponmathavan, L. Thaneshwaran, Arun, S. Nair, N. Valliappan, Tamil font recognition using gabor and support vector machines. International Conference on Advances in Computing, Control, & Telecommunication Technologies. pp. 613–615 (2009)Google Scholar
  6. 6.
    R. Jagadeesh Kumar, R. Prabhakar, R.M. Suresh, Off-line cursive handwritten Tamil characters recognition. International Conference on Security Technology. pp. 159–164 (2008)Google Scholar
  7. 7.
    A.N. Sigappi, S. Palanivel, V. Ramalingam, Handwritten document retrieval system for Tamil language. Int J. Comput. Appl. 31, 42–47 (2011)Google Scholar
  8. 8.
    K.F. Chan, D.Y. Yeung, Elastic structural mapping for online handwritten alphanumeric character recognition. Proceedings of 14th International Conference on Pattern Recognition. pp. 1508–1511 (1998)Google Scholar
  9. 9.
    J. John, K.V Pramod, K. Balakrishnan, Handwritten Character Recognition of South Indian Scripts: a Review. National Conference on Indian Language Computing, (2011)Google Scholar
  10. 10.
    S. Manke, U. Bodenhausen, A connectionist recognizer for online cursive handwriting recognition, Proceedings of ICASSP, 94(2), pp. 633–636 (1994)Google Scholar
  11. 11.
    X. Li, R. Plamondon, M. Parizeau, Model-based online handwritten digit recognition. Proceedings of 14th International Conference On Pattern Recognition. pp. 1134–1136 (1998)Google Scholar
  12. 12.
    N. Shanthi, K. Duraiswami, Performance comparison of different image size for recognizing unconstrained handwritten Tamil character using SVM. J. Comput. Sci. 3(9), 760–764 (2007)CrossRefGoogle Scholar
  13. 13.
    J. Sutha, N. RamaRaj, Neural network based offline Tamil handwritten character recognition system. International Conference on Computational Intelligence and Multimedia, 2, pp. 446–450 (2007)Google Scholar
  14. 14.
    A.K. Jain, Torfinn Taxt.: Feature Extraction Methods For Character Recognition-a survey. Pattern Recognit. 29(4), 641–662 (1996)CrossRefGoogle Scholar
  15. 15.
    S. Asthana, F. Haneef, R.K. Bhujade, Handwritten multiscript numeral recognition using artificial neural networks. Int. J. Soft Comput. Eng. 1(1), 1–67 (2011)Google Scholar
  16. 16.
    S.K.B. Sangeetha, Dr.V. Vijayachamundeeswari, Tamil OCR- A Survey. International Conference on Computing and Control Engineering (ICCCE 2012). (2012)Google Scholar
  17. 17.
    L.R.B. Schomaker, H.L. Teulings, A handwriting recognition system based on the properties and architectures of the human motor system. Proceedings of the IWFHR. pp. 195–211 (1990)Google Scholar
  18. 18.
    Aparna, K.H., Vidhya Subramanian, Kasirajan, M., Vijay Prakash, G., Chakravarthy, V. S., Sriganesh adhvanath.: Online handwriting recognition for Tamil. Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR’ 04). pp. 438-443 (2004)Google Scholar
  19. 19.
    A. Bharath, S. Madhvanath, HMM-based lexicon driven and lexicon-free word recognition for online handwritten indic scripts. IEEE Trans. Pattern Anal. Mach. Intell. 34(4), 670–682 (2012)CrossRefGoogle Scholar
  20. 20.
    C. Suresh Kumar, T. Ravichandran, Handwritten Tamil character recognition using RCS algorithms. Int. J. Compu. Appl. 8(8), 21–25 (2010)Google Scholar
  21. 21.
    R. Bremananth, A. Prakash, Tamil Numerals Identification. International Conference on Advances in Recent Technologies in Communication and Computing. pp. 620–622 (2009)Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Information TechnologyBannari Amman Institute of TechnologySathyamangalamIndia

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