output
20162024
most citedArabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine

52 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2020Show all

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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…