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Publication Type : Conference Paper
Publisher : ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies
Source : ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala (2009)
ISBN : 9780769539157
Keywords : Character sets, Feature extraction, Future applications, Gabor filter, Gabor filters, Linguistics, Optical character recognition, Real-time application, Support vector machines, Vectors
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electrical and Electronics, Electronics and Communication
Year : 2009
Abstract : Optical Character Recognition is an evergreen area of research and is verily used in various real time applications. This paper proposes a new technique of Optical character Recognition using Gabor filters and Support Vector machines (SVM). This method proves to be very effective with the use of Gabor filters for feature extraction and SVM for developing the model. The model proposed is trained and validated for two languages - English and Tamil and the results are found to be very much encouraging. The model developed works for the entire character set in both the languages including symbols and numerals. In addition , the model can recognise the characetrs of six different fonts in English and Twelve different fonts in Tamil. The average accuracy of recognition for English is 97% and for Tamil it is 84%, which is achieved in just three iterations of training. The method can turn out to be a suitable candidate for future applications in this area. © 2009 IEEE.
Cite this Research Publication : Dr. Ramanathan R., Ponmathavan, S., Valliappan, N., Thaneshwaran, L., A. S. Nair, and Dr. Soman K. P., “Optical character recognition for English and Tamil using support vector machines”, in ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009.