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Recognition Of Tifinagh Characters With Missing Parts Using Neural Network

Domaine:

natural language processing

Type de record:

paper
Créateur:
BarSafAbd
Éditeur:
Zenodo
Hôte:avatar
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. {"references": ["A. Oulamara, J Duvernoy, \"An application of the Hough transform to automatic recognition of Berber characters\", Signal Processing, vol. 14, 1988, pp.79-90.", "A. Djematen, B. Taconet, A. Zahour: \"Une m\u00e9thode statistique pour la reconnaissance de caract\u00e8res berb\u00e8res manuscrits\"\", CIFED\"98, 1998,p 170-178.", "Y. Ait ouguengay, M. Taalabi, \"\"Elaboration d\"un r\u00e9seau de neurones artificiels pour la reconnaissance optique de la graphie amazighe: Phase d\"apprentissage\"\", Syst\u00e8mes intelligents-Th\u00e9ories et applications, 2009.", "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.", "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.", "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.", "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.", "A. Rachidi, D. Mammass. (2005), Informatisation de La Langue Amazighe: M\u00e9thodes et Mises En OEuvre, SETIT 2005 3rd International Conference: Sciences of Electronic Technologies of Information and Telecommunications March 27-31, 2005 \u2013 TUNISIA.", "C. Christoudias, B. Georgescu, and P. Meer. Synergism in low level vision. In International Conference on Pattern Recognition (ICPR 2002), volume 4, pages 150\u2013155, 2002. \n[10]\tC. Dorin and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. on Patt. Anal. and Mach. Intell., 24(5):603\u2013619, 1999.\n[11]\tM. Fischler and R. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. 24(6):381\u2013395, 1981."]}

Visit

doi.orgzenodo.org

Tasks

computer visionoptical character recognition

Languages

AmazighBerberKunama

Tags

Tifinagh character recognitionNeural networksLocal cost computation.

Licenses

Creative Commons Attribution 4.0https://creativecommons.org/licenses/by/4.0Open Accessinfo:eu-repo/semantics/openAccess

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