Handwritten Text Recognition (HTR) is essential for digitizing historical documents in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 …

Unconstrained text recognition is an important computer vision task, featuring a wide variety
of different sub-tasks, each with its own set of challenges. One of the biggest promises of …

A Quranic optical character recognition (OCR) system based on convolutional neural
network (CNN) followed by recurrent neural network (RNN) is introduced in this work. Six …

ABSTRACT Building a robust Optical Character Recognition (OCR) system for languages,
such as Arabic with cursive scripts, has always been challenging. These challenges …

As much as internet and smart devices are taking a big role in the lives of children and
adolescents, also the threat of Cyberbullying on the lives and wellbeing of those youngsters …

The Transformer has quickly become the dominant architecture for various pattern
recognition tasks due to its capacity for long-range representation. However, transformers …

Handwriting recognition is a challenging and critical problem in the fields of pattern
recognition and machine learning, with applications spanning a wide range of domains. In …

This paper presents a deep learning benchmark on a complex dataset known as KFUPM
Handwritten Arabic TexT (KHATT). The KHATT data-set consists of complex patterns of …

Arabic handwriting recognition is considered among the most important and challenging
recognition research subjects due to the cursive nature of writing and the similarities …

Script identification plays a vital role in applications that involve handwriting and document
analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a profound …