Deep learning for historical document analysis and recognition—a survey
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analysis and recognition of historical documents, as we survey in this work, is not an …
analysis and recognition of historical documents, as we survey in this work, is not an …
Historical manuscript dating: traditional and current trends
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 …
antiquity. The dates of production of these historical manuscripts are of interest to historians …
Deep learning based approach for historical manuscript dating
Digitization of historical manuscripts from premodern eras, has captivated the document
analysis and pattern recognition community in recent years. Estimation of the period of …
analysis and pattern recognition community in recent years. Estimation of the period of …
Dating Greek Papyri with text regression
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 …
numerous other aspects of ancient writing, document and book production and circulation …
A new method for writer identification based on historical documents
Identifying the writer of a handwritten document has remained an interesting pattern
classification problem for document examiners, forensic experts, and paleographers. While …
classification problem for document examiners, forensic experts, and paleographers. While …
Hierarchical fusion using subsets of multi-features for historical arabic manuscript dating
Automatic dating tools for historical documents can greatly assist paleographers and save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 …
them time and effort. This paper describes a novel method for estimating the date of …
Learning features for writer identification from handwriting on papyri
Computerized analysis of historical documents has remained an interesting research area
for the pattern classification community for many decades. From the perspective of …
for the pattern classification community for many decades. From the perspective of …
Writer characterization from handwriting on papyri using multi-step feature learning
Identification of scribes from historical manuscripts has remained an equally interesting
problem for paleographers as well as the pattern classification researchers. Though …
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
Precisely dating historical manuscripts represents a paramount endeavor in the
comprehension and the interpretation of their historical significance as well as 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
While paleographers face various challenges in the dating process of historical manuscripts,
computer scientists encounter multiple obstacles in automating them. To address this …
computer scientists encounter multiple obstacles in automating them. To address this …