ADOCRNet: A Deep Learning OCR for Arabic Documents Recognition

In recent years, Optical character recognition (OCR) has experienced a resurgence of interest especially for contemporary Arabic data. In fact, OCR development for printed and handwritten Arabic script is still a challenging task. These challenges are due to the specific characteristics of the Arabi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2024, Vol.12, p.55620-55631
Hauptverfasser:	Mosbah, Lamia, Moalla, Ikram, Hamdani, Tarek M., Neji, Bilel, Beyrouthy, Taha, Alimi, Adel M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arabic Artificial neural networks Bidirectional control BLSTM Character recognition CNNs Convolutional neural networks CTC Datasets Deep learning document recognition Documents Handwriting Handwriting recognition Hidden Markov models Long Term Evolution Machine learning OCR Optical character recognition Printed text Text recognition Words (language)
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!