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A Novel Methodology for Identifying the Tamil Character Recognition from Palm Leaf

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • B. Kiran Bala

    (K. Ramakrishnan College of Engineering, Department of Computer Science and Engineering)

  • I. Infant Raj

    (K. Ramakrishnan College of Engineering, Department of Computer Science and Engineering)

Abstract

The historical things and the way of traditional lifestyle as well as medicine secrets were available in palm leaf in order to get those details from the palm leaf through the trained data set has been used to identify the Tamil character from the palm leaf, then pre-process the character segmentation process follow and then feature extraction take place to identify the correct letter for that process make the comparison with the database. Finally, Identify the exact Tamil character from the palm leaf which gives support to damaged palm leaf also mainly concentrate in false acceptance rate as false rejection rate of Tamil character to give more accurate results.

Suggested Citation

  • B. Kiran Bala & I. Infant Raj, 2020. "A Novel Methodology for Identifying the Tamil Character Recognition from Palm Leaf," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1499-1506, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_154
    DOI: 10.1007/978-3-030-41862-5_154
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