Online Arabic Handwriting Characters Recognition using Deep Learning
Khalid Mohammed Musa Yaagoup, Mohamed Elhafiz Mustafa · IJARCCE · 2020
Recent research shows that in a wide variety of fields, such as computer vision, speech recognition and natural language processing, deep learning has produced noticeably promising results.Automatic recognition of handwriting is a significant component for many applications in different fields.It is a complex subject that has gained a great deal of attention in the past three decades.Research has focused on the recognition of Latin languages' handwriting, fewer studies have been done for the Arabic language, a few problems still wait to be solved for Arabic handwritten characters.We presented a Convolutional Neural Network (CNN) model for the recognition of Arabic handwritten characters in this paper.The dataset is pre-processed before feeding it to the CNN model, it applied on database that contain 16800 of handwritten Arabic characters.The accuracy was raised to 96% as a test accuracy showing better results than other methods using the same database.