Handwritten tifinagh character recognition using simple geometric shapes and graphs

Youssef Ouadid, Abderrahmane Elbalaoui, Mehdi Boutaounte, Mohamed Fakir, Brahim Minaoui

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.


Keywords


Handwritten Character Recognition; OCR; Image Processing; Points feature; Graph Theory

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DOI: http://doi.org/10.11591/ijeecs.v13.i2.pp598-605

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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