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Research Article | Open Access |

Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks

Author 1: O Bencharef Author 2: M.Fakir Author 3: B. Minaoui Author 4: B.Bouikhalene
International Journal of Advanced Computer Science and Applications (IJACSA) · Special Issue on Artificial Intelligence · Published 2011 · Cited by 9

DOI: https://doi.org/10.14569/SpecialIssue.2011.010308

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Abstract

The recognition of Tifinagh characters cannot be perfectly carried out using the conventional methods which are based on the invariance, this is due to the similarity that exists between some characters which differ from each other only by size or rotation, hence the need to come up with new methods to remedy this shortage. In this paper we propose a direct method based on the calculation of what is called Geodesic Descriptors which have shown significant reliability vis-à-vis the change of scale, noise presence and geometric distortions. For classification, we have opted for a method based on the hybridization of decision trees and neural networks.

Keywords

component Tifinagh character recognition Neural networks Decision trees Riemannian geometry Geodesic distances.

How to Cite this Article

Bencharef, O., M.Fakir, Minaoui, B., & B.Bouikhalene (2011). Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks. International Journal of Advanced Computer Science and Applications, 1(3). https://doi.org/10.14569/SpecialIssue.2011.010308

Bencharef, O, et al.. "Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks." International Journal of Advanced Computer Science and Applications, vol. 1, no. 3, 2011, https://doi.org/10.14569/SpecialIssue.2011.010308.

@article{Bencharef2011,
  title     = {Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {1},
  number    = {3},
  year      = {2011},
  publisher = {The Science and Information Organization},
  note      = {Special Issue on Artificial Intelligence},
  author    = {O Bencharef and M.Fakir and B. Minaoui and B.Bouikhalene},
  doi       = {10.14569/SpecialIssue.2011.010308},
  url       = {https://doi.org/10.14569/SpecialIssue.2011.010308}
}

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