New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition

Hasanien Alothman, Hasanien Alothman, Hasanien Alothman, Wafa Lejmi, Wafa Lejmi, Mohamed Ali Mahjoub

2024

Abstract

As some tasks easily performed by man seem to be hard to be accomplished by the machine, the Artificial Intelligence field examines more and more the reproduction of thinking methods and human intuition by studying some mental faculties and substituting them by calculating approaches. Among the major fields of such interest, we can focus on recognizing handwritten characters. However, most handwritten characters are written in Latin, which makes the recognition of Arabic characters handwriting a delicate process compared to other languages, due to the specificity of Arabic words. In this paper, we aim to conceive a framework that offers the ability to recognize online Arabic handwriting applied to a dataset named ADAB (Arabic DAtaBase), using a particular descriptor based on a substantial derivative and a neural network handling Arabic handwritten characters features and then electing the appropriate output for the final decision.

Paper Citation

in Harvard Style

Alothman H., Lejmi W. and Ali Mahjoub M. (2024). New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 689-698. DOI: 10.5220/0012385000003636

in Bibtex Style

@conference{icaart24,
author={Hasanien Alothman and Wafa Lejmi and Mohamed Ali Mahjoub},
title={New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={689-698},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012385000003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - New Approach Based on Substantial Derivative and LSTM for Online Arabic Handwriting Script Recognition
SN - 978-989-758-680-4
AU - Alothman H.
AU - Lejmi W.
AU - Ali Mahjoub M.
PY - 2024
SP - 689
EP - 698
DO - 10.5220/0012385000003636
PB - SciTePress