Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease
The etiology of Parkinson's disease (PD) remains unclear. Symptoms usually appear after
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
Arabic handwritten recognition using deep learning: A survey
N Alrobah, S Albahli - Arabian Journal for Science and Engineering, 2022 - Springer
In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …
recognize handwritten characters, but most of them are done in Latin. Recognizing …
Attention-based CNN-RNN Arabic text recognition from natural scene images
According to statistics, there are 422 million speakers of the Arabic language. Islam is the
second-largest religion in the world, and its followers constitute approximately 25% of the …
second-largest religion in the world, and its followers constitute approximately 25% of the …
Utilization of Animiz Animation Application in Arabic Class 2 Madrasah Tsanawiyah Lessons at Diniyyah Pasia Modern Islamic Boarding School
A Maryati, A Ameer, J Egie - Scientechno: Journal of Science …, 2022 - journal.ypidathu.or.id
This study uses a qualitative method. With this method, the researcher conducted interviews
with some members of the second class of private madrasah tsanawiyyah at the modern …
with some members of the second class of private madrasah tsanawiyyah at the modern …
PHTI: Pashto handwritten text imagebase for deep learning applications
Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that
converts document images into machine-readable codes. In DIA systems, Optical Character …
converts document images into machine-readable codes. In DIA systems, Optical Character …
MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognition
The Transformer has quickly become the dominant architecture for various pattern
recognition tasks due to its capacity for long-range representation. However, transformers …
recognition tasks due to its capacity for long-range representation. However, transformers …
Printed Ottoman text recognition using synthetic data and data augmentation
EF Bilgin Tasdemir - International Journal on Document Analysis and …, 2023 - Springer
The Ottoman script, which was in use for over five centuries, is an Arabic alphabet-based
writing system. It became obsolete after the change of alphabet in Turkey. There are plenty …
writing system. It became obsolete after the change of alphabet in Turkey. There are plenty …
Revitalizing Arabic Character Classification: Unleashing the Power of Deep Learning with Transfer Learning and Data Augmentation Techniques
Deep learning techniques have demonstrated remarkable success in various domains,
including character classification tasks. However, the performance of deep learning models …
including character classification tasks. However, the performance of deep learning models …
[PDF][PDF] An efficient hybrid model for arabic text recognition
In recent years, Deep Learning models have become indispensable in several fields such
as computer vision, automatic object recognition, and automatic natural language …
as computer vision, automatic object recognition, and automatic natural language …
An enhanced offline printed Arabic OCR model based on bio-inspired fuzzy classifier
SM Darwish, KO Elzoghaly - IEEE Access, 2020 - ieeexplore.ieee.org
In the recent few years, there was a concentrated search on Arabic Optical Character
Recognition (OCR), especially the recognition of scanned, offline, machine-printed …
Recognition (OCR), especially the recognition of scanned, offline, machine-printed …