Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Handwritten Text Recognition (HTR) is essential for digitizing historical documents in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

Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …

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

This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

In this paper, we introduce an open database of historical handwritten documents fully
annotated in Norwegian, the first of its kind, allowing the development of handwritten text …

Handwriting recognition and analysis has been an active area of research in the last two
decades. Handwriting analysis is being studied in various fields of science, such as …

A collection of different scripts is employed in writing languages throughout the world.
Character and numeral recognition of a particular script is a key area in the field of pattern …

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 …

The paper analytically reviews the methods and algorithms for solving problems arising in
the development of writer identification offline systems. The main applied problems that are …