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General Models for Handwritten Text Recognition: Feasibility and State-of-the Art. German Kurrent as an Example Cover

General Models for Handwritten Text Recognition: Feasibility and State-of-the Art. German Kurrent as an Example

Journal of Open Humanities Data
Volume 7 (2021): Issue 0
By: Tobias Hodel,  David Schoch,  Christa Schneider and  Jake Purcell  
Open Access
|Jul 2021

Authors

Tobias Hodel

tobias.hodel@wbkolleg.unibe.ch

Digital Humanities, Walter Benjamin Kolleg, University of Bern

David Schoch

david.schoch@wbkolleg.unibe.ch

Digital Humanities, Walter Benjamin Kolleg, University of Bern

Christa Schneider

christa.schneider@wbkolleg.unibe.ch

Digital Humanities, Walter Benjamin Kolleg, University of Bern

Jake Purcell

purcell.jamesr@gmail.com

Digital Humanities, Walter Benjamin Kolleg, University of Bern
DOI: https://doi.org/10.5334/johd.46 | Journal eISSN: 2059-481X
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Language: English
Published on: Jul 9, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
handwritten text recognition,
ground truth production,
recognition engines,
PyLaia,
HTR

© 2021 Tobias Hodel, David Schoch, Christa Schneider, Jake Purcell, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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