Feature Vector-Based Artificial Neural Network Classification Model for Handwritten Character Recognition - researchr publication authors

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Muhammad Arif Mohamad, Habibollah Haron, Haswadi Hasan. Feature Vector-Based Artificial Neural Network Classification Model for Handwritten Character Recognition. In Hamido Fujita, Enrique Herrera-Viedma, editors, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference SoMeT_18, Granada, Spain, 26-28 September 2018. Volume 303 of Frontiers in Artificial Intelligence and Applications, pages 409-422, IOS Press, 2018. [doi]

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