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An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition
  using a Novel Transformers-based Model and an Innovative 270 Million-Words
  Multi-Font Corpus of Classical Arabic with Diacritics

An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics

20 August 2022
Aly M. Kassem
Omar Mohamed
Ali Ashraf
Ahmed Elbehery
Salma Jamal
Anas Salah
A. Ghoneim
ArXivPDFHTML

Papers citing "An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics"

1 / 1 papers shown
Title
Text Line Segmentation for Challenging Handwritten Document Images Using
  Fully Convolutional Network
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network
Berat Kurar Barakat
Ahmad Droby
M. Kassis
Jihad El-Sana
19
41
0
20 Jan 2021
1