A Comprehensive Approach to Arabic Handwriting Recognition: Deep Convolutional Networks and Bidirectional Recurrent Models for Arabic Scripts - Egyptian Knowledge Bank - troweb

367178

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

Article

Last updated: 05 Jan 2025

Overview Similar Items

Article

Arabic Handwritten Text Recognition Systems and Challenges and Opportunities

Article

Recognizing Handwritten Arabic Characters Using Deep Learning Techniques in Educational Platforms

Article

NEURAL NETWORK PATTERN RECOGNITION OF HANDWRITTEN ARABIC ALPHABET CHARACTERS

Article

On Line Recognition System for Arabic Handwritten Text

Article

CONVOLUTIONAL NEURAL NETWORK FOR ARABIC SPEECH RECOGNITION

Article

A Hybrid Intelligent System for Arabic Handwritten Number Recognition

Article

Handwritten Arabic Bills Reader and Recognizer

Article

HAND-WRITING RECOGNITION USING NEURAL MICRO-CLASSIFIERS NETWORK

Article

A Novel Image-Based Arabic Hand Gestures Recognition Approach Using YOLOv7 and ArSL21L

Article

Arabic Text to Image Generation based on Generative Network of Fine-Grained Visual Descriptions