Deep learning for historical document analysis and recognition—a survey

F Lombardi, S Marinai - Journal of Imaging, 2020 - mdpi.com
Nowadays, deep learning methods are employed in a broad range of research fields. The
analysis and recognition of historical documents, as we survey in this work, is not an …

Historical manuscript dating: traditional and current trends

EO Omayio, S Indu, J Panda - Multimedia Tools and Applications, 2022 - Springer
There is a huge number of undated digitized and undigitized historical manuscripts from
antiquity. The dates of production of these historical manuscripts are of interest to historians …

Deep learning based approach for historical manuscript dating

A Hamid, M Bibi, M Moetesum… - … conference on document …, 2019 - ieeexplore.ieee.org
Digitization of historical manuscripts from premodern eras, has captivated the document
analysis and pattern recognition community in recent years. Estimation of the period of …

Dating Greek Papyri with text regression

J Pavlopoulos, M Konstantinidou… - Proceedings of the …, 2023 - aclanthology.org
Dating Greek papyri accurately is crucial not only to edit their texts but also to understand
numerous other aspects of ancient writing, document and book production and circulation …

A new method for writer identification based on historical documents

A Gattal, C Djeddi, F Abbas, I Siddiqi… - Journal of Intelligent …, 2023 - degruyter.com
Identifying the writer of a handwritten document has remained an interesting pattern
classification problem for document examiners, forensic experts, and paleographers. While …

Hierarchical fusion using subsets of multi-features for historical arabic manuscript dating

K Adam, S Al-Maadeed, Y Akbari - Journal of Imaging, 2022 - mdpi.com
Automatic dating tools for historical documents can greatly assist paleographers and save
them time and effort. This paper describes a novel method for estimating the date of …

Learning features for writer identification from handwriting on papyri

S Nasir, I Siddiqi - Pattern Recognition and Artificial Intelligence: 4th …, 2021 - Springer
Computerized analysis of historical documents has remained an interesting research area
for the pattern classification community for many decades. From the perspective of …

Writer characterization from handwriting on papyri using multi-step feature learning

S Nasir, I Siddiqi, M Moetesum - … September 5–10, 2021, Proceedings, Part …, 2021 - Springer
Identification of scribes from historical manuscripts has remained an equally interesting
problem for paleographers as well as the pattern classification researchers. Though …

Contribution to historical manuscript dating: A hybrid approach employing hand-crafted features with vision transformers

M Boudraa, A Bennour, M Al-Sarem, F Ghabban… - Digital Signal …, 2024 - Elsevier
Precisely dating historical manuscripts represents a paramount endeavor in the
comprehension and the interpretation of their historical significance as well as in the …

Combination of local features and deep learning to historical manuscripts dating

M Boudraa, A Bennour - … Conference on Intelligent Systems and Pattern …, 2023 - Springer
While paleographers face various challenges in the dating process of historical manuscripts,
computer scientists encounter multiple obstacles in automating them. To address this …