A Comparative Study for Handwritten Tamil Character Recognition using Wavelet Transform and Zernike Moments

Amitabh Wahi, S. Sundaramurthy, Poovizhi Ponnusamy


During early days many research works have been carried out for the Online Characters. But few research works have been proposed for the Offline characters especially for South Indian Languages at the early stages and now varies 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, 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. A comparative study is performed with the Wavelet and the Zernike moments which have been used in pattern recognition are used in this system to extract the features of handwritten Tamil characters. Neural classifiers have been used for the classification of Tamil characters.

Full Text:



R. Plamondan, S.N. Srihari, “Online and offline handwriting recognition: A comprehensive survey”, IEEE Transaction on PAMI, Vol22 (1) pp 63 – 84, 2000.

U. Pal and B.B. Chaudhuri, “Indian script character recognition: A Survey”, Pattern Recognition, Elsevier,Vol. 37, pp. 1887-1899, 2004.

Jomy John, Pramod K. V, Kannan Balakrishnan “Handwritten Character Recognition of South Indian Scripts: A Review”, National Conference on Indian Language Computing, Kochi, Feb 19-20, 2011.

Shanthi N and Duraiswami K, “Performance Comparison of Different Image size for Recognizing unconstrained Handwritten Tamil character using SVM”, Journal of Computer Science, Vol-3 (9): Page(3) 760-764, 2007.

S. Manke, U. Bodenhausen, “A connectionist recognizer for online cursive handwriting recognition”, Proceedings of ICASSP 94, Vol. 2, 1994, pp 633-636.

Shanthi N and Duraiswami K, “A Novel SVM -based Handwritten Tamil character recognition system”, Springer, Pattern Analysis & Applications,Vol-13, No. 2, 173-180,2010.

Ramanathan R, Ponmathavan S, Thaneshwaran L, Arun.S.Nair, and Valliappan N, “Tamil font Recognition Using Gabor and Support vector machines”, International Conference on Advances in Computing, Control, & Telecommunication Technologies, page(s): 613 – 615, 2009.

Sutha J and RamaRaj N, “Neural network based offline Tamil handwritten character recognition System”, International Conference on Conference on Computational Intelligence and Multimedia Vol : 2, page(s): 446 – 450, 2007.

Jagadeesh Kumar R, Prabhakar R and Suresh R.M, “Off-line Cursive Handwritten Tamil Characters Recognition”, International Conference on Security Technology, page(s): 159 – 164, 2008.

Suresh Kumar C and Ravichandran T, “Handwritten Tamil Character Recognition using RCS algorithms”, International Journal of Computer Applications, (0975 – 8887) Volume 8– No.8, October 2010.

Bremananth R and Prakash A, “Tamil Numerals Identification”, International Conference on Advances in Recent Technologies in Communication and Computing, page(s): 620 – 622, 2009.

Stuti Asthana, Farha Haneef and Rakesh K Bhujade, “Handwritten Multiscript Numeral Recognition using Artificial Neural Networks”, Int. J. of Soft Computing and Engineering , ISSN: 2231-2307, Volume-1, Issue-1, March 2011.

Paulpandian T and Ganapathy V, “Translation and scale Invariant Recognition of Handwritten Tamil characters using Hierarchical Neural Networks”, Circuits and Systems, IEEE Int. Sym. , vol.4, 2439 – 2441, 1993.

Anil.K.Jain and Torfinn Taxt, “Feature extraction methods for character recognition-A Survey”, Pattern Recognition, vol. 29, no. 4, pp. 641 -662, 1996.

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, CENPARMI, Concordia, Montreal, 1990, pp 195-211.

K. H. Aparna, Vidhya Subramanian, M. Kasirajan, G. Vijay Prakash, V. S. Chakravarthy, Sriganesh adhvanath, “Online handwriting recognition for Tamil”, Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR' 04), Tokyo, Japan, 2004, pp 438-443.

K. F. Chan, D. Y. Yeung, “Elastic structural mapping for online handwritten alphanumeric character recognition”, Proceedings of 14th International Conference on Pattern Recognition, Brisbane, Australia, August, pp 1508-1511, 1998.

X. Li, R. Plamondon, M. Parizeau, “Model-based online handwritten digit recognition”, Proceedings of 14th International Conference On Pattern Recognition, Brisbane, Australia, August, 1998, pp 1134-1136.

Sigappi A.N, Palanivel S and Ramalingam V, “Handwritten Document Retrieval System for Tamil Language”, Int. J of Computer Application, Vol-31, 2011.

Sangeetha.S.K.B and Dr.Vijayachamundeeswari.V,” Tamil OCR- A Survey”, International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012.

Bharath.A and Sriganesh Madhvanath, “HMM-Based Lexicon Driven and Lexicon-Free Word Recognition for Online Handwritten Indic Scripts”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol34, No.4, April 2012.



  • There are currently no refbacks.

Abava  Кибербезопасность MoNeTec 2024

ISSN: 2307-8162