Handwritten tifinagh character recognition using simple geometric shapes and graphs
Youssef Ouadid
Abderrahmane Elbalaoui
Mehdi Boutaounte
Mohamed Fakir
Brahim Minaoui
Indonesian Journal of Electrical Engineering and Computer Science
Abstract
In this paper, a graph based handwritten Tifinagh character recognition system is presented. In preprocessing Zhang Suen algorithm is enhanced. In features extraction, a novel key point extraction algorithm is presented. Images are then represented by adjacency matrices defining graphs where nodes represent feature points extracted by a novel algorithm. These graphs are classified using a graph matching method. Experimental results are obtained using two databases to test the effectiveness. The system shows good results in terms of recognition rate.
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