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A novel SVM-based handwritten Tamil character recognition system

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Abstract

This paper describes a system for recognizing offline handwritten Tamil characters using support vector machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of 300 dpi and stored as gray-scale images. Various preprocessing operations are performed on the digitized image to enhance the quality of the image. Pixel densities are calculated for 64 different zones of the image and these values are used as the features of a character. These features are used to train the SVM. The SVM is tested for the first time to recognize handwritten Tamil characters. The system has achieved a very good recognition accuracy of 82.04% on the handwritten Tamil character database.

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Authors and Affiliations

  1. Department of Information Technology, K.S. Rangasamy College of Technology, Tiruchengode, India

    N. Shanthi

  2. K.S. Rangasamy College of Technology, Tiruchengode, India

    K. Duraiswamy

Authors
  1. N. Shanthi
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  2. K. Duraiswamy
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Correspondence to N. Shanthi.

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Shanthi, N., Duraiswamy, K. A novel SVM-based handwritten Tamil character recognition system. Pattern Anal Applic 13, 173–180 (2010). https://doi.org/10.1007/s10044-009-0147-0

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  • DOI: https://doi.org/10.1007/s10044-009-0147-0

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