Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

The automatic recognition of text on scanned images has enabled many applications such
as searching for words in large volumes of documents, automatic sorting of postal mail, and …

Automatic handwriting recognition is an important component for many applications in
various fields. It is a challenging problem that has received a lot of attention in the past three …

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 …

Text recognition in Arabic handwritten scripts is an active research field. These recognition
systems face numerous challenges, including enormous open data-bases, infinite variation …

In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …

Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …

Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

Recognition of cursive handwritten Arabic text is a difficult problem because of context-
sensitive character shapes, the non-uniform spacing between words and within a word …

The preservation and digitization of historical data are crucial for ensuring the continuity and
accessibility of information over successive generations. The present study investigates the …