Skip to main content

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

  • Chapter
New Trends in Computational Vision and Bio-inspired Computing
  • 32 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ayatullah Faruk Mollah, Nabamita Majumder, Subhadip Basu, Mita Nasipuri, Design of an Optical Character Recognition System for Camerabased Handheld Devices, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 1, July 2011.

    Google Scholar 

  2. http://www.springer.com/978-3-319-50251-9

  3. Kiran Bala B, Audithan S, ‘Wavelet And Curvelet Analysis For The Classification Of Microcalcification Using Mammogram Images’ , Publisher: IEEE, ISBN: 978-1-4799-7986-8, Page: 517–521.(

    Google Scholar 

  4. Kiran Bala B, Infant Raj I, ‘Comparative and identification of exact frequency domain approaches by using mammogram images’, 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Publisher: IEEE, Year 2018.

  5. https://commons.wikimedia.org/wiki/File:Purananuru_manuscript.jpg

  6. https://commons.wikimedia.org/wiki/File:Tirukkural_manuscript.jpg

  7. Kiran Bala B, Balakumar A, ‘The Combination of Steganography and Cryptography for Medical Image Applications’, Biomedical and Pharmacology Journal, Volume 10, Issue 4, Year 2017.

    Google Scholar 

  8. Kiran Bala B, Lourdu Joanna J, ‘Multi Modal Biometrics Using Cryptographic Algorithm’, European Journal of Academic essays, ISSN: 2183 1904, vol 1 Issue 1, February 2014.

    Google Scholar 

  9. Kiran Bala B, Audithan S, ‘Identification of cancer from the mammogram images by using frequency Domain Approaches’, Journal of Chemical and Pharmaceutical Research, Vol.9, No. 4, pp. 382-384, 2017.

    Google Scholar 

  10. Kiran Bala B, ‘A Novel Approach To Identify The Micro Calcification Images’, Journal of Chemical and Pharmaceutical Sciences, JCHPS Special Issue 2: February 2017, Page 190-192.

    Google Scholar 

  11. Kiran Bala B, ‘A Novel Approach To Generate A Key For Cryptographic Algorithm’, Journal of Chemical and Pharmaceutical Sciences, JCHPS Special Issue 2: February 2017, Page 229-231.

    Google Scholar 

  12. Kiran Bala B, Sasikumar R, ‘A Novel Method Of Cultivation Of Different Varieties Of Tomato Without Using Soil’, Bioscience Biotechnology Research Communication, Volume 10 issue 4 pp: 802-804, 2017.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Cite this chapter

Bala, B.K., Raj, I.I. (2020). A Novel Methodology for Identifying the Tamil Character Recognition from Palm Leaf. In: Smys, S., Iliyasu, A.M., Bestak, R., Shi, F. (eds) New Trends in Computational Vision and Bio-inspired Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-41862-5_154

Download citation

Publish with us

Policies and ethics