Handwriting Arabic Character Recognition Using LeNet Neural Network

Abstract

#The aim of this study was to utilize one of the foundations of Arabic handwriting recognition to demonstrate the effectiveness of neural network methods as the most successful applications of this technology. The research followed an experimental approach and consisted of an introduction, three sections, and recommendations for future research. The introduction highlighted the significance of the study and its theoretical framework. The first section focused on designing a new network for recognizing a set of Arabic handwritten characters, while the second section addressed the training stages of this network. The third section discussed the specifications and training of the algorithm for this new network. The conclusion summarized the main findings and suggested future studies in this field