Arabic Handwritten Text Recognition Systems and Challenges and Opportunities

Arabic Sign Language Recognition Using Neural network

A Comprehensive Approach to Arabic Handwriting Recognition: Deep Convolutional Networks and Bidirectional Recurrent Models for Arabic Scripts

Arabic Sign Language Recognition System: Using an Image-Based hand Gesture Detection Method to help Deaf and Dump Children to Engage in Education

Recognizing Handwritten Arabic Characters Using Deep Learning Techniques in Educational Platforms

NEURAL NETWORK PATTERN RECOGNITION OF HANDWRITTEN ARABIC ALPHABET CHARACTERS

On Line Recognition System for Arabic Handwritten Text

Alphabet Recognition in Arabic Sign Language: A Machine Learning Perspective

A Proposed Model for Standard Arabic Sign Language Recognition Based on Multiplicative Neural Network

Robust Hand Gesture Recognition Using HOG Features and machine learning