Historical Document Recognition is a computer vision task that involves the automated identification and transcription of textual content from digitized historical documents, distinguishing itself from general document analysis by addressing challenges unique to aged materials such as degradation, archaic scripts, and non-standard layouts.
390
Publications
14.9K
Citations
902
Authors
334
Institutions
Publications per year
2017–2026
158
Parents
Publications
390
1–5 of 390
Authors
902
- BGBasilis Gatos
National Centre of Scientific Research "Demokritos", Greece
16 publications · 918 citations
16
h-index
- AA
13
h-index
- EV
13
h-index
- AF
12
h-index
- AF
12
h-index
1–5 of 902
Institutions
334
National Centre of Scientific Research "Demokritos"
Athens, Greece
16 h-index
40 publications
2.6K citations
Universitat Politècnica de València
Valencia, Spain
14 h-index
58 publications
3.1K citations
Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
13 h-index
37 publications
1.7K citations
University of Fribourg
Fribourg, Switzerland
13 h-index
48 publications
1.1K citations
University of Salford
Salford, United Kingdom
12 h-index
40 publications
1.6K citations
Ben-Gurion University of the Negev
Beersheba, Israel
12 h-index
41 publications
1.3K citations
École de Technologie Supérieure
Montreal, Canada
11 h-index
27 publications
1K citations
University of Massachusetts Amherst
Amherst Center, United States
10 h-index
23 publications
4.3K citations
1–8 of 334
Venues
- International Journal on Document Analysis and Recognition (IJDAR)
21 publications · 1.8K citations
17
h-index
- Pattern Recognition
16 publications · 786 citations
15
h-index
- Pattern Recognition Letters
8 publications · 255 citations
8
h-index
- Journal of Imaging
7 publications · 275 citations
7
h-index
- IEEE Access
6 publications · 183 citations
6
h-index
1–5