Subject Review: Machine Learning and Deep Learning based Arabic Handwriting Recognition

Authors

  • AHMED KAWTHER HUSSEIN

DOI:

https://doi.org/10.31695/IJERAT.2019.3578

Keywords:

Handwriting recognition, Arabic handwriting recognition, Machine learning, Deep learning, Natural language processing, Neural network.

Abstract

In recent times, with the progress of artificial intelligence and machine learning, handwriting recognition becomes an active research area. Furthermore, many products of applications have provided handwriting recognition services in various languages with a low margin of errors. The Arabic language has its challenges which make it not easy comparing with other languages to develop error-free and practical Arabic handwriting recognition. Deep learning has promising results in this field. This paper surveys existing literature work for Arabic handwriting recognition in general and using deep learning in particular.

Published

2019-10-25

How to Cite

AHMED KAWTHER HUSSEIN. (2019). Subject Review: Machine Learning and Deep Learning based Arabic Handwriting Recognition. International Journal of Engineering Research and Advanced Technology - IJERAT (ISSN: 2454-6135), 5(10), 09-14. https://doi.org/10.31695/IJERAT.2019.3578