most citedArabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine

52 citations · 52 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 52 cited

Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine

Mahmoud Shams, Amira. A. Elsonbaty, Wael. Z. ElSawy

Recognition of Arabic characters is essential for natural language processing and computer vision fields. The need to recognize and classify the handwritten Arabic letters and char…