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.

O Bencharef, M.Fakir, B. Minaoui and B.Bouikhalene, “Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Artificial Intelligence, 2011. http://dx.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(IJACSA), Special Issue on Artificial Intelligence}
doi = {10.14569/SpecialIssue.2011.010308},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010308},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {3},
author = {O Bencharef and M.Fakir and B. Minaoui and B.Bouikhalene},
}