A comparative study of multi-class support vector machine methods for Arabic characters recognition

Marwa Amara, Khaled Ghédira, Kamel Zidi, Salah Zidi. A comparative study of multi-class support vector machine methods for Arabic characters recognition. In 12th IEEE/ACS International Conference of Computer Systems and Applications, AICCSA 2015, Marrakech, Morocco, November 17-20, 2015. pages 1-6, IEEE, 2015. [doi]

Authors

Marwa Amara

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Khaled Ghédira

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Kamel Zidi

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Salah Zidi

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