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Reseach Article

Walsh, Texture and GIST Descriptors with Bayesian Networks for Recognition of Tifinagh Characters

by Mustapha Oujaoura, Brahim Minaoui, Mohammed Fakir
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 12
Year of Publication: 2013
Authors: Mustapha Oujaoura, Brahim Minaoui, Mohammed Fakir
10.5120/14068-2464

Mustapha Oujaoura, Brahim Minaoui, Mohammed Fakir . Walsh, Texture and GIST Descriptors with Bayesian Networks for Recognition of Tifinagh Characters. International Journal of Computer Applications. 81, 12 ( November 2013), 39-46. DOI=10.5120/14068-2464

@article{ 10.5120/14068-2464,
author = { Mustapha Oujaoura, Brahim Minaoui, Mohammed Fakir },
title = { Walsh, Texture and GIST Descriptors with Bayesian Networks for Recognition of Tifinagh Characters },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 12 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number12/14068-2464/ },
doi = { 10.5120/14068-2464 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:55.816334+05:30
%A Mustapha Oujaoura
%A Brahim Minaoui
%A Mohammed Fakir
%T Walsh, Texture and GIST Descriptors with Bayesian Networks for Recognition of Tifinagh Characters
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 12
%P 39-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper provides an approach to automatically recognize the Tifinagh characters. The proposed recognition system is based on Texture, Walsh transformation and GIST descriptors as feature extraction methods while the Bayesian Networks are used as a classifier. A comparative study between the Texture descriptor, Walsh transformation and GIST descriptor is given. The experimental results are obtained using a character database of isolated Amazigh characters. A recognition rate of 98. 18% is achieved using GIST descriptors.

References
  1. Y. Es Saady, A. Rachidi, M. El Yassa, D. Mammass. (2010). Printed Amazigh Character Recognition by a Syntactic Approach using Finite Automata, ICGST-GVIP Journal, Volume 10, Issue 2, June 2010.
  2. O. Bencharef, M. Fakir, N. Idrissi, B. Bouikhalen et B. Minaoui. (2011). Application de la géométrie riemannienne à la reconnaissance des caractères Tifinaghe, Agadir-Maroc, pp : 179 :188, 06-07 Mai 2011.
  3. R. El Ayachi, M. Fakir and B. Bouikhalen. (2012). Transformation de Fourier et moments invariants appliqués à la reconnaissance des caractères Tifinaghe, Revue eTI, Numéro 6. 2012.
  4. . El Ayachi, K. Moro, M. Fakir and B. Bouikhalene. (2010). On The Recognition Of Tifinaghe Scripts, JATIT, vol. 20, No. 2, pp: 61-66, 2010.
  5. Y. Es Saady, A. Rachidi, M. El Yassa and D. Mammass. Amazigh Handwritten Character Recognition based on Horizontal and Vertical Centerline of Character. International Journal of Advanced Science and Technology, Vol. 33, pp. 33-50, Août 2011.
  6. O. Bencharef, M. Fakir, B. Minaoui and B. Bouikhalene. Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks. (IJACSA) International Journal of Advanced Computer Science and Applications, Special Issue on Artificial Intelligence, pp. 1-5, 2011.
  7. M. OUJAOURA, B. MINAOUI, M. FAKIR, B. BOUIKHALENE, R. EL AYACHI and O. BENCHAREF, Invariant Descriptors and Classifiers Combination for Recognition of Isolated Printed Tifinagh Characters, (IJACSA) International Journal of Advanced Computer Science and Applications, special issue on selected papers from third international symposium on automatic amazigh processing SITACAM13, Vol. 3, No. 2, pp. 22–28, 2013. Published by The Science and Information Organization, New York, USA.
  8. Mustapha OUJAOURA, R. EL AYACHI, O. BENCHAREF, Y. CHIHAB and B. JARMOUNI, application of data mining tools for recognition of tifinagh characters, (IJACSA) International Journal of Advanced Computer Science and Applications, special issue on selected papers from third international symposium on automatic amazigh processing SITACAM13, Vol. 3, No. 2, pp. 1–4, 2013. Published by The Science and Information Organization, New York, USA.
  9. H. MOUDNI, M. ER-ROUIDI, Mustapha OUJAOURA and O. BENCHAREF, Recognition of Amazigh characters using SURF & GIST descriptors, (IJACSA) International Journal of Advanced Computer Science and Applications, special issue on selected papers from third international symposium on automatic amazigh processing SITACAM13, Vol. 3, No. 2, pp. 41–44, 2013. Published by The Science and Information Organization, New York, USA.
  10. R. Haralick, K. Shanmugan, and I. Dinstein. Textural features for image classification. IEEE Transactions on SMC, 3(6) : pp. 610–621, 1973.
  11. Aude Oliva and Antonio Torralba. Modeling the shape of the scene : A holistic representation of the spatial envelope. International Journal of Computer Vision, 42 : pp. 145–175, 2001.
  12. Aude Oliva , Antonio Torralba, Building the gist of a scene: the role of global image features in recognition, Progress in Brain Research, 2006.
  13. Hans G. Feichtinger, Thomas Strohmer: "Gabor Analysis and Algorithms", Birkhäuser, 1998.
  14. Olivier Augereau, Nicholas Journet, Jean-Philippe Domenger, "Reconnaissance et Extraction de Pièces d'identité : Une application industrielle à la détection de cartes d'identité et de passeports," 1re soumission à CIFED 2012, le 8 décembre 2011.
  15. Ann. Becker, Patrick Naim : les réseaux bayésiens : modèles graphiques de connaissance. Eyrolles. 1999.
  16. J. Pearl, "Bayesian Networks" UCLA Cognitive Systems Laboratory, Technical Report (R-216), Revision I. In M. Arbib (Ed. ), Handbook of Brain Theory and Neural Networks, MIT Press, 149-153, 1995.
  17. Sabine Barrat, Modèles graphiques probabilistes pour la reconnaissance de formes, thèse de l'université Nancy 2, Spécialité informatique, décembre 2009.
  18. George H. John and Pat Langley. Estimating continuous distributions in bayesian classifiers, the Eleventh Conference on Uncertainty in Artificial Intelligence, 1995.
  19. Philippe LERAY, Réseaux bayésiens : apprentissage et modélisation de systèmes complexes, Habilitation A Diriger Les Recherches, Spécialité Informatique, Automatique et Traitement du Signal, Université de Rouen, novembre 2006.
  20. Patrick Naïm, Pierre Henri Wuillemin, Philippe Leray, Olivier pourret, Anna becker, Réseaux bayésiens, Eyrolles, 3ème édition, Paris, 2008.
  21. Tom . Mitchell: Generative and discriminative classifier: Naïve bayes and logistic regression. Machine learning. Draft 2010.
  22. Y. Ait ouguengay , M. Taalabi,. Elaboration d'un réseau de neurones artificiels pour la reconnaissance optique de la graphie amazighe : Phase d'apprentissage". 5e Conférence internationale sur les "Systèmes Intelligents : Théories et Applications", Paris : Europia, cop. 2009 (impr. au Maroc), ISBN 978-2-909285-55-3. 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Character recognition texture GIST Walsh transformation Bayesian networks Tifinagh database.