Deep Learning in Written Arabic Linguistic Studies: A Comprehensive Survey

M Almanea - IEEE Access, 2024 - ieeexplore.ieee.org
This article presents a comprehensive survey on recent applications of deep learning (DL)
algorithms to written Arabic. Despite the increasing amount of user-generated content in …

A Transformer-based Siamese Network For Word Image Retrieval In Historical Documents

A Fathallah, MA El-Yacoubi… - 2023 IEEE Smart World …, 2023 - ieeexplore.ieee.org
The increasing availability of digitized historical documents has sparked a need for effective
information processing tools to extract the valuable information contained within them. Word …

[PDF][PDF] Transfer Learning for Word Spotting in Historical Arabic Documents Based Triplet-CNN.

A Fathallah, MA El-Yacoubi, NEB Amara - VISIGRAPP (5: VISAPP), 2023 - scitepress.org
With the increasing number of digitized historical documents, information processing has
become a fundamental task to exploit the information contained in these documents. Thus, it …

Hybrid CNN-GRU Model for Handwritten Text Recognition on IAM, Washington and Parzival Datasets

M Sharma, R Bagoria, P Arora - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The aim of using the CNN-GRU Hybrid Model for HTR is to improve the accuracy of existing
HTR systems by develo** more robust models that can handle the variability of …

CNNGRU Model for Handwritten Character Recognition and Evaluating its Performance on the Char74k Dataset

M Sharma - Proceedings of the 5th International Conference on …, 2023 - dl.acm.org
Recently, advancements in artificial intelligence and computer vision have led to the
emergence of novel character recognition methods. While humans excel at recognizing …

Design a CNN-GRU Model for Handwritten Character Recognition and Performance Evaluation on Char74k Dataset

M Sharma - International Joint Conference on Advances in …, 2022 - Springer
In recent times, new methods for character recognition have been developed as a result of
progress in artificial intelligence and computer vision. Even though humans are able to …