Skip to main content

A Gibbsian Kohonen Network for Online Arabic Character Recognition

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

Abstract

The purpose of this study is to investigate handwritten online character recognition by Kohonen neural networks which learn class conditional Gibbs densities from training samples. The characters are represented by histograms (empirical distributions) of features. The Kohonen network learning algorithm implements a gradient ascent which maximizes an entropy criterion under constraints. Using a database of handwritten online Arabic characters produced without constraints by a large number of writers, we conducted extensive experiments which show the advantage of this Gibbsian Kohonen network over other classifiers such as a regular Kohonen neural network and a Gibbsian Bayes classifier.

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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Al-Sheikh, T., El-Taweel, S.: Real-time Arabic handwritten character recognition. Pattern recognition 23, 1323–1332 (1990)

    Article  Google Scholar 

  2. Schenkel, M., Guyon, I., Henderson, D.: On-line script recognition using time delay neural networks and hidden markov models. In: International Conference on Acoustics, Speech, and Signal Processing, Adelaide, Austrailia, vol. 2, pp. 637–640 (1994)

    Google Scholar 

  3. Mezghani, N., Cheriet, M., Mitiche, A.: Combination of pruned kohonen maps for on-line Arabic characters recognition. In: Seventh International Conference on Document Analysis and Recognition, Edinburgh, Scotland, vol. 2, pp. 900–905 (2003)

    Google Scholar 

  4. Plamondon, R.: A model-based segmentation framework for computer processing of handwriting. In: Proceedings of the Eleventh IAPR International Conference on Pattern Recognition, pp. 303–307 (1992)

    Google Scholar 

  5. Kavianifar, M., Amin, A.: Preprocessing and structural feature extraction for a multi-fonts arabic/persian ocr. In: Proceedings of the Fifth International Conference on Document Analysis and Recognition, pp. 213–216 (1999)

    Google Scholar 

  6. Klassen, T.: Towards neural network recognition of handwritten Arabic letters. Master’s thesis, Dalhousie University, Halifax (2001)

    Google Scholar 

  7. Alimi, A.: A neuro-fuzzy approch to recognize on-line Arabic handwritting. In: International Conference on Neural Networks, vol. 3, pp. 1397–1400 (1997)

    Google Scholar 

  8. Mahmoud, S.A.: Arabic character-recognition using fourier descriptors and character contour encoding. Pattern Recognition 27, 815–824 (1994)

    Article  Google Scholar 

  9. Mezghani, N., Mitiche, A., Cheriet, M.: A new representation of character shape and its use in on-line character recognition by a self-organizing map. In: IEEE International Conference on Image Processing, ICIP, Singapore, vol. 3, pp. 2123–2126 (2004)

    Google Scholar 

  10. Zhu, S.C., Wu, Y., Mumford, D.: Minimax entropy principle and its application to texture modeling. Neural Comput. 9, 1627–1660 (1997)

    Article  Google Scholar 

  11. Zhu, S.: Embedding gestalt laws in markov random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 21, 1170–1187 (1999)

    Article  Google Scholar 

  12. Duda, P.O., Hart, P.E., Stork, D.G.: Pattern Classification, New York (2001)

    Google Scholar 

  13. Bail, E.L., Mitiche, A.: Quantification vectorielle d’images par le réseau neuronal de kohonen. Traitement du Signal 6, 529–539 (1989)

    Google Scholar 

  14. Anouar, F., Badran, F., Thiria, S.: Probabilistic self-organizing map and radial basis function. Journal of Neurocomputing 20, 83–96 (1998)

    Article  MATH  Google Scholar 

  15. Mezghani, N., Mitiche, A., Cheriet, M.: Bayes classification of online arabic characters by gibbs modeling of class conditional densities. IEEE Transactions on Pattern Analysis and Machine Intelligence 30, 1121–1131 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mezghani, N., Mitiche, A. (2008). A Gibbsian Kohonen Network for Online Arabic Character Recognition. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89646-3_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89645-6

  • Online ISBN: 978-3-540-89646-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics