Recognition of Tifinagh Characters with Missing Parts Using Neural Network
In this paper, we present an algorithm for reconstruction from incomplete 2D scans for tifinagh characters. This algorithm is based on using correlation between the lost block and its neighbors. This system proposed contains three main parts: pre-processing, features extraction and recognition. In the first step, we construct a database of tifinagh characters. In the second step, we will apply “shape analysis algorithm”. In classification part, we will use Neural Network. The simulation results demonstrate that the proposed method give good results.
[1] A. Oulamara, J Duvernoy, “An application of the Hough transform to automatic recognition of Berber characters”, Signal Processing, vol. 14, 1988, pp.79-90.
[2] A. Djematen, B. Taconet, A. Zahour: “Une méthode statistique pour la reconnaissance de caractères berbères manuscrits‟‟, CIFED‟98, 1998,p 170-178.
[3] Y. Ait ouguengay, M. Taalabi, „„Elaboration d‟un réseau de neurones artificiels pour la reconnaissance optique de la graphie amazighe: Phase d‟apprentissage‟‟, Systèmes intelligents-Théories et applications, 2009.
[4] M. Amrouch, A. Rachidi, M. Elyassa, D. Mammass, “Handwritten Amazigh Character Recognition Based On Hidden Markov Models, ICGST-GVIP Journal, Vol.10, Issue 5, pp.11-18, 2010.
[5] R. El Yachi, K. Moro, M. Fakir, B. Bouikhalene, “On the Recognition of Tifinaghe Scripts”, Journal of Theoretical and Applied Information Technology, Vol.20, No.2, 2010, pp.61-66.
[6] M. Amrouch, Y. Es Saady, A. Rachidi, M. Elyassa, D. Mammass, “Printed Amazigh Character Recognition by a Hybrid Approach Based on Hidden Markov Models and the Hough Transform”, International Conference on Multimedia Computing and Systems, Actes de ICMCS‟09, Ouarzazate, Maroc, 2009.
[7] M. Amrouch, Y. Es Saady, A. Rachidi, M. Elyassa, D. Mammass (April 2009), Printed Amazigh Character Recognition by a Hybrid Approach Based on Hidden Markov Models and the Hough Transform, ICMCS‟09, Ouarzazate-Maroc.
[8] A. Rachidi, D. Mammass. (2005), Informatisation de La Langue Amazighe: Méthodes et Mises En OEuvre, SETIT 2005 3rd International Conference: Sciences of Electronic Technologies of Information and Telecommunications March 27-31, 2005 – TUNISIA.
[9] C. Christoudias, B. Georgescu, and P. Meer. Synergism in low level vision. In International Conference on Pattern Recognition (ICPR 2002), volume 4, pages 150–155, 2002.
[10] C. Dorin and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. on Patt. Anal. and Mach. Intell., 24(5):603–619, 1999.
[11] M. Fischler and R. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. 24(6):381–395, 1981.
[1] A. Oulamara, J Duvernoy, “An application of the Hough transform to automatic recognition of Berber characters”, Signal Processing, vol. 14, 1988, pp.79-90.
[2] A. Djematen, B. Taconet, A. Zahour: “Une méthode statistique pour la reconnaissance de caractères berbères manuscrits‟‟, CIFED‟98, 1998,p 170-178.
[3] Y. Ait ouguengay, M. Taalabi, „„Elaboration d‟un réseau de neurones artificiels pour la reconnaissance optique de la graphie amazighe: Phase d‟apprentissage‟‟, Systèmes intelligents-Théories et applications, 2009.
[4] M. Amrouch, A. Rachidi, M. Elyassa, D. Mammass, “Handwritten Amazigh Character Recognition Based On Hidden Markov Models, ICGST-GVIP Journal, Vol.10, Issue 5, pp.11-18, 2010.
[5] R. El Yachi, K. Moro, M. Fakir, B. Bouikhalene, “On the Recognition of Tifinaghe Scripts”, Journal of Theoretical and Applied Information Technology, Vol.20, No.2, 2010, pp.61-66.
[6] M. Amrouch, Y. Es Saady, A. Rachidi, M. Elyassa, D. Mammass, “Printed Amazigh Character Recognition by a Hybrid Approach Based on Hidden Markov Models and the Hough Transform”, International Conference on Multimedia Computing and Systems, Actes de ICMCS‟09, Ouarzazate, Maroc, 2009.
[7] M. Amrouch, Y. Es Saady, A. Rachidi, M. Elyassa, D. Mammass (April 2009), Printed Amazigh Character Recognition by a Hybrid Approach Based on Hidden Markov Models and the Hough Transform, ICMCS‟09, Ouarzazate-Maroc.
[8] A. Rachidi, D. Mammass. (2005), Informatisation de La Langue Amazighe: Méthodes et Mises En OEuvre, SETIT 2005 3rd International Conference: Sciences of Electronic Technologies of Information and Telecommunications March 27-31, 2005 – TUNISIA.
[9] C. Christoudias, B. Georgescu, and P. Meer. Synergism in low level vision. In International Conference on Pattern Recognition (ICPR 2002), volume 4, pages 150–155, 2002.
[10] C. Dorin and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. on Patt. Anal. and Mach. Intell., 24(5):603–619, 1999.
[11] M. Fischler and R. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. 24(6):381–395, 1981.
@article{"International Journal of Information, Control and Computer Sciences:72377", author = "El Mahdi Barrah and Said Safi and Abdessamad Malaoui", title = "Recognition of Tifinagh Characters with Missing Parts Using Neural Network", abstract = "In this paper, we present an algorithm for reconstruction from incomplete 2D scans for tifinagh characters. This algorithm is based on using correlation between the lost block and its neighbors. This system proposed contains three main parts: pre-processing, features extraction and recognition. In the first step, we construct a database of tifinagh characters. In the second step, we will apply “shape analysis algorithm”. In classification part, we will use Neural Network. The simulation results demonstrate that the proposed method give good results.
", keywords = "Tifinagh character recognition, Neural networks, Local cost computation.", volume = "10", number = "2", pages = "375-4", }
