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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)

Abstract

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.

Keywords

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.

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Copyright information

© Springer India 2015

Authors and Affiliations

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

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