Skip to main content

Prism Tree Shape Representation Based Recognition of Offline Tamil Handwritten Characters

  • Conference paper
  • First Online:
  • 1024 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 507))

Abstract

Optical Character Recognition (OCR) is a unique and challengeable filed in pattern recognition. Identically demand is still present in OCR, where various works has been coming up to provide acceptable solutions. In this field, Tamil hand written recognition is getting popular due to the desire of Tamil lovers in computerizing the Tamil language which includes handwritten documents also. This task is not an easiest one, due to its curvy shape and variation in structure of shape when people are writing. Here the treatment must be happened on the structure level to address entire shapes. This paper mainly focuses on identifying the shape of the structure, where the shape of the structure is derived from the formation of the triangle based hierarchical representation. Prism Tree algorithm is utilized to complete this task, where the shape is located by the tree representation. Finally vector values are extracted from the shape representation of tree. Hierarchical based Support Vector Machine (SVM) is used for predicting the character from those vector values. Good results are achieved when the shape of the character structure is well suited for real character nature.

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

Buying options

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Antony Robert Raj., M. and Abirami, S.: A Survey on Tamil Handwritten Character Recognition using OCR techniques, The Second International Conference on Computer Science, Engineering and Applications (CCSEA), 05, pp. 115–127 (2012).

    Google Scholar 

  2. Antony Robert Raj., M. and Abirami, S.: Analysis of Statistical Feature Extraction Approaches used in Tamil Handwritten OCR, 13 th Tamil Internet Conference- INFITT, pp. 144–150 (2013).

    Google Scholar 

  3. Antony Robert Raj., M. and Abirami, S.: Offline Tamil Handwritten Character Recognition using Chain Code and Zone Based Features, 13 th Tamil Internet Conference- INFITT; pp. 28–34 (2014).

    Google Scholar 

  4. Antony Robert Raj., M. and Abirami, S.: Offline Tamil Handwritten Character Recognition Using Statistical Features. AENSI Journals, Advances in Natural and Applied Sciences, 9(6) Special 2015, Pages: 367–374 (2015).

    Google Scholar 

  5. Shyni S.M., Antony Robert Raj., M. and Abirami, S.: Offline Tamil Handwritten Character Recognition Using Sub Line Direction and Bounding Box Techniques. Indian Journal of Science and Technology, Vol 8(S7), 110–116, (2015).

    Google Scholar 

  6. Antony Robert Raj., M. and Abirami, S.: Hybrid Features based Offline Tamil Handwritten Character Recognition” 14th International Tamil Internet Conference, ISSN: 2313-4887 Pages: 360−370 (2015).

    Google Scholar 

  7. Sigappi, A. N. Palanivel, S. and Ramalingam, V.: Handwritten Document Retrieval System for Tamil Language, International Journal of Computer Application, ISSN: 0975–8887, Vol.31, No.4, Page(s) 42-47 (2011).

    Google Scholar 

  8. Rajashekararadhya, S.V. VanajaRanjan, P and ManhunathAradhya. V. N.: Isolated Handwritten Kannada and Tamil Numeral Recognition: A Novel Approach. First IEEE International Conference on Emerging Trends in engineering and Technology, Page(s): 1192–1195 (2008).

    Google Scholar 

  9. Rajashekararadhya, S.V. and VanajaRanjan, P.: Zone-Based Hybrid Feature Extraction Algorithm for Handwritten Numeral Recognition of two popular Indian Script. World Congress on Nature & Biologically Inspired Computing, page(s): 526−530 (2009).

    Google Scholar 

  10. Rajashekararadhya, S.V. and VanajaRanjan, P.: Neural Network Based Handwritten Numeral Recognition of Kannada and Telugu Script. IEEE TENCON Conference, pp 1–5 (2008).

    Google Scholar 

  11. Rajashekararadhya, S.V. and VanajaRanjan, P.: Efficient Zone based Feature Extraction Algorithm for Handwritten Numeral Recognition of Four Popular south Indian Scripts. International journal of Theoretical and Applied Information Technology, pages: 1171−1181 (2008).

    Google Scholar 

  12. Raja Kumar. S, Subbiah Bharathi V.: Ancient Tamil Script Recognition from Stone Inscription Using Slant Removal Method. International Conference on Electrical and Electronics and Biomedical Engineering, Page(s) 80–84, (2012).

    Google Scholar 

  13. Hanan, Samet.: Foundation of Multidimensional and Metric Data Structures. Book Published by Morgan Kaufmann, PP. 386–388 (2006).

    Google Scholar 

  14. http://lipitk.sourceforge.net/hpl-datasets.htm.

  15. Hichem Sahbi, Donald Geman,: A Hierarchy of Support Vector Machines for Pattern Detection. Journal of Machine Learning Research, Vol: 7, pp: 2087–2123, (2006).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Antony Robert Raj .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Raj, M.A.R., Abirami, S., Murugappan, S., Baskaran, R. (2017). Prism Tree Shape Representation Based Recognition of Offline Tamil Handwritten Characters. In: Satapathy, S., Prasad, V., Rani, B., Udgata, S., Raju, K. (eds) Proceedings of the First International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-10-2471-9_45

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2471-9_45

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2470-2

  • Online ISBN: 978-981-10-2471-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics