Applying Data Augmentation to Handwritten Arabic Numeral Recognition Using Deep Learning Neural Networks. (arXiv:1708.05969v5 [cs.CV] UPDATED)

Handwritten character recognition has been the center of research and a
benchmark problem in the sector of pattern recognition and artificial
intelligence, and it continues to be a challenging research topic. Due to its
enormous application many works have been done in this field focusing on
different languages. Arabic, being a diversified language has a huge scope of
research with potential challenges. A convolutional neural network model for
recognizing handwritten numerals in Arabic language is proposed in this paper,
where …

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