Revitalizing Arabic Character Classification: Unleashing the Power of Deep Learning with Transfer Learning and Data Augmentation Techniques

• Published in: Arabian journal for science and engineering (2011) Vol. 49; no. 9; pp. 12791 - 12815
• Main Authors: Amara, Marwa, Smairi, Nadia, Mnasri, Sami, Zidouri, Abdelmalek
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 2024; Springer Nature B.V
• Subjects: Accuracy; Character recognition; Classification; Data augmentation; Datasets; Deep learning; Engineering; Handwriting recognition; Humanities and Social Sciences; Knowledge management; Machine learning; multidisciplinary; Performance enhancement; Research Article-Computer Engineering and Computer Science; Science; Deep learning; Data augmentation; CNN; Handwritten digit recognition; Transfer learning; Arabic character

Deep learning techniques have demonstrated remarkable success in various domains, including character classification tasks. However, the performance of deep learning models heavily relies on the availability of large-annotated datasets. This research work is motivated by the need to overcome the dif...