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Recognition of Isolated Printed Tifinagh Characters

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 1
Year of Publication: 2014
Authors:
M. Oujaoura
B. Minaoui
M. Fakir
R. El Ayachi
O. Bencharef
10.5120/14802-3005

M Oujaoura, B Minaoui, M Fakir, El R Ayachi and O Bencharef. Article: Recognition of Isolated Printed Tifinagh Characters. International Journal of Computer Applications 85(1):1-13, January 2014. Full text available. BibTeX

@article{key:article,
	author = {M. Oujaoura and B. Minaoui and M. Fakir and R. El Ayachi and O. Bencharef},
	title = {Article: Recognition of Isolated Printed Tifinagh Characters},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {1},
	pages = {1-13},
	month = {January},
	note = {Full text available}
}

Abstract

Most of the reported works in the field of character recognition systems achieve modest results by using a single method for calculating the parameters of the character image and a single approach in the classification phase of the system. So, in order to improve the recognition rate, this document proposes an automatic system to recognize isolated printed Tifinagh characters by using a fusion of some classifiers and a combination of some features extraction methods. The Legendre moments, Zernike moments, Hu moments, Walsh transform, GIST and texture are used as descriptors in the features extraction phase due to their invariance to translation, rotation and scaling changes. In the classification phase, the neural network, the Bayesian network, the multiclass SVM (Support Vector Machine) and the nearest neighbour classifiers are combined together. The experimental results of each single features extraction method with each single classification method are compared with our approach to show its robustness. A recognition rate of 100 % is achieved by using some combined descriptors and classifiers.

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