Walsh, Texture and GIST Descriptors with Bayesian Networks for Recognition of Tifinagh Characters | Zendy

Mustapha Oujaoura | Zendy; Brahim Minaoui | Zendy; Mohamed Fakir | Zendy

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Walsh, Texture and GIST Descriptors with Bayesian Networks for Recognition of Tifinagh Characters

Author(s) -

Mustapha Oujaoura,

Brahim Minaoui,

Mohamed Fakir

Publication year - 2013

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/14068-2464

Subject(s) - computer science , gist , artificial intelligence , texture (cosmology) , bayesian network , bayesian probability , pattern recognition (psychology) , machine learning , image (mathematics) , medicine , pathology , stromal cell

his paper provides an approach to automatically recognize the Tifinagh characters. The proposed recognition system is based on Texture, Walsh transformation and GIST descriptors as feature extraction methods while the Bayesian Networks are used as a classifier. A comparative study between the Texture descriptor, Walsh transformation and GIST descriptor is given. The experimental results are obtained using a character database of isolated Amazigh characters. A recognition rate of 98.18% is achieved using GIST descriptors.

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