Advancements and challenges in handwritten text recognition: A comprehensive survey

W AlKendi, F Gechter, L Heyberger, C Guyeux - Journal of Imaging, 2024 - mdpi.com
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …

[PDF][PDF] Arabic Optical Character Recognition: A Review.

S Alghyaline - CMES-Computer Modeling in Engineering & …, 2023 - researchgate.net
This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …

KHATT: An open Arabic offline handwritten text database

SA Mahmoud, I Ahmad, WG Al-Khatib, M Alshayeb… - Pattern Recognition, 2014 - Elsevier
A comprehensive Arabic handwritten text database is an essential resource for Arabic
handwritten text recognition research. This is especially true due to the lack of such …

Attention-based CNN-RNN Arabic text recognition from natural scene images

H Butt, MR Raza, MJ Ramzan, MJ Ali, M Haris - Forecasting, 2021 - mdpi.com
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 …

Non-negative graph embedding

J Yang, S Yang, Y Fu, X Li… - 2008 IEEE Conference on …, 2008 - ieeexplore.ieee.org
We introduce a general formulation, called non-negative graph embedding, for non-negative
data decomposition by integrating the characteristics of both intrinsic and penalty graphs …

A novel comprehensive database for offline Persian handwriting recognition

J Sadri, MR Yeganehzad, J Saghi - Pattern Recognition, 2016 - Elsevier
Developing a standard database for offline handwriting recognition is an essential task. This
paper offers a novel comprehensive database for conducting research on offline Persian …

Script identification of multi-script documents: a survey

K Ubul, G Tursun, A Aysa, D Impedovo, G Pirlo… - IEEE …, 2017 - ieeexplore.ieee.org
In recent years, with the widespread of Internet and digitized processing of multi-script
documents worldwide, script identification techniques have become more important in the …

PHTI: Pashto handwritten text imagebase for deep learning applications

I Hussain, R Ahmad, S Muhammad, K Ullah… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Gender and handedness prediction from offline handwriting using convolutional neural networks

Á Morera, Á Sánchez, JF Vélez, AB Moreno - Complexity, 2018 - Wiley Online Library
Demographic handwriting‐based classification problems, such as gender and handedness
categorizations, present interesting applications in disciplines like Forensic Biometrics. This …

MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognition

M Dhiaf, AC Rouhou, Y Kessentini, SB Salem - Pattern Recognition Letters, 2023 - Elsevier
The Transformer has quickly become the dominant architecture for various pattern
recognition tasks due to its capacity for long-range representation. However, transformers …