Fraktur Recognition
Fraktur Recognition is a specialized subtask of Optical Character Recognition that involves the accurate identification and transcription of text written in Fraktur, a historical Blackletter script used predominantly in German-language documents, thereby enabling the digitization and computational analysis of culturally significant archival materials.
5
Publications
319
Citations
19
Authors
9
Institutions
Publications per year
2017–2026
3
5
High-Performance OCR for Printed English and Fraktur Using LSTM Networks
Thomas M. Breuel, Adnan Ul-Hasan, Mayce Ali Al-Azawi et al. · 2013 · 247 citations
Uwe Springmann, Christian Reul, Stefanie Dipper et al. · LDV-Forum/Journal for language technology and computational linguistics · 2018 · 27 citations · Full text
Dataset of Pages from Early Printed Books with Multiple Font Groups
Mathias Seuret, Saskia Limbach, Nikolaus Weichselbaumer et al. · 2019 · 16 citations
1–5 of 5
19
1
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
1 publications · 16 citations
1
h-index
1
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
1 publications · 16 citations
1
h-index
1
h-index
1–5 of 19
9
University of Kaiserslautern
Kaiserslautern, Germany
1 h-index
3 publications
741 citations

University of Belgrade
Belgrade, Serbia
1 h-index
1 publications
10 citations
Johannes Gutenberg University Mainz
Mainz, Germany
1 h-index
2 publications
32 citations

The University of Western Australia
Perth, Australia
1 h-index
1 publications
247 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
1 h-index
3 publications
48 citations
National Library of Finland
Helsinki, Finland
1 h-index
3 publications
57 citations

University of Calabria
Rende, Italy
1 h-index
1 publications
10 citations
Technical College of Applied Sciences
Zrenjanin, Serbia
1 h-index
1 publications
10 citations
1–8 of 9
1 publications · 27 citations
1
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AAI · 1 publications · 10 citations
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1–2