Skip to main content
SpringerLink
Log in

Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers

  • Conference paper
Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

Included in the following conference series:

Abstract

In this paper, we report the results of recognition of online handwritten Tamil characters. We experimented with two different approaches. One is subspace based method wherein the interactions between the features in the feature spate are assumed to be linear. In the second approach, we investigated an elastic matching technique using dynamic programming principles. We compare the methods to find their suitability for an on-line form-filling application in writer dependent, independent and adaptive scenarios. The comparison is in terms of average recognition accuracy and the number of training samples required to obtain an acceptable performance. While the first criterion evaluates effective recognition capability of a scheme, the second one is important for studying the effectiveness of a scheme in real time applications. We also perform error analysis to determine the advisability of combining the classifiers.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tappert, C.C., Suen, C.Y., Wakahara, T.: The state of the art in on-line handwriting recognition. IEEE Trans. Pattern Analysis and Machine Intelligence 12(8), 787–808 (1990)

    Article  Google Scholar 

  2. Sundaresan, C.S., Keerthi, S.S.: A study of representations for pen based handwriting recognition of Tamil characters. In: Fifth International Conference on Document Analysis and Recognition, September 1999, pp. 422–425 (1999)

    Google Scholar 

  3. Deepu, V.: On-line writer dependent handwriting character recognition, Master of Engineering project report, Indian Institute of Science, India (January 2003)

    Google Scholar 

  4. Keogh, E., Pazzani, M.: Derivative dynamic time warping. In: First SIAM International Conference on Data Mining (SDM 2001), Chicago, USA (2001)

    Google Scholar 

  5. Li, X., Yeung, D.Y.: On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern Recognition 30(1), 31–44 (1997)

    Article  Google Scholar 

  6. Joshi, N., Sita, G., Ramakrishnan, A.G., Madhvanath, S.: Comparison of elastic matching algorithms for on-line Tamil handwriting recognition. In: ICONIP 2004 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Electrical Engg., Indian Institute of Science, Bangalore, India

    Niranjan Joshi, G. Sita & A. G. Ramakrishnan

  2. Hewlett-Packard Laboratories, Bangalore, India

    Sriganesh Madhvanath

Authors
  1. Niranjan Joshi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Sita
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. G. Ramakrishnan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sriganesh Madhvanath
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Joshi, N., Sita, G., Ramakrishnan, A.G., Madhvanath, S. (2004). Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_124

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30499-9_124

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation