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Christian Reul
Christian Reul
Centre for Philology and Digitality, University of Würzburg
Bestätigte E-Mail-Adresse bei uni-wuerzburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Calamari-a high-performance tensorflow-based deep learning package for optical character recognition
C Wick, C Reul, F Puppe
arXiv preprint arXiv:1807.02004, 2018
792018
OCR4all—An open-source tool providing a (semi-) automatic OCR workflow for historical printings
C Reul, D Christ, A Hartelt, N Balbach, M Wehner, U Springmann, C Wick, ...
Applied Sciences 9 (22), 4853, 2019
732019
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
U Springmann, C Reul, S Dipper, J Baiter
arXiv preprint arXiv:1809.05501, 2018
392018
Improving OCR accuracy on early printed books by utilizing cross fold training and voting
C Reul, U Springmann, C Wick, F Puppe
2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018
392018
Comparison of OCR accuracy on early printed books using the open source engines Calamari and OCRopus
C Wick, C Reul, F Puppe
Journal for Language Technology and Computational Linguistics 33 (1), 79-96, 2018
302018
State of the art optical character recognition of 19th century fraktur scripts using open source engines
C Reul, U Springmann, C Wick, F Puppe
arXiv preprint arXiv:1810.03436, 2018
242018
Larex: A semi-automatic open-source tool for layout analysis and region extraction on early printed books
C Reul, U Springmann, F Puppe
Proceedings of the 2nd International Conference on Digital Access to Textual …, 2017
232017
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben'(1488)
C Reul, M Dittrich, M Gruner
Proceedings of the 2nd international conference on digital access to textual …, 2017
182017
Transfer learning for OCRopus model training on early printed books
C Reul, C Wick, U Springmann, F Puppe
arXiv preprint arXiv:1712.05586, 2017
172017
Improving OCR accuracy on early printed books by combining pretraining, voting, and active learning
C Reul, U Springmann, C Wick, F Puppe
arXiv preprint arXiv:1802.10038, 2018
162018
Mixed model OCR training on historical Latin script for out-of-the-box recognition and finetuning
C Reul, C Wick, M Nöth, A Büttner, M Wehner, U Springmann
Proceedings of the 6th International Workshop on Historical Document Imaging …, 2021
72021
GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
U Springmann, C Reul, S Dipper, J Baiter
Aug, 2018
72018
OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more)
S Gabay, T Clérice, C Reul
Journal of Data Mining and Digital Humanities 2023, 2023
62023
Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification: A Case Study on Daniel Sander's Wörterbuch der Deutschen Sprache
C Reul, S Göttel, U Springmann, C Wick, KM Würzner, F Puppe
Proceedings of the 3rd International Conference on Digital Access to Textual …, 2019
62019
Open source handwritten text recognition on medieval manuscripts using mixed models and document-specific finetuning
C Reul, S Tomasek, F Langhanki, U Springmann
International Workshop on Document Analysis Systems, 414-428, 2022
52022
One-model ensemble-learning for text recognition of historical printings
C Wick, C Reul
International Conference on Document Analysis and Recognition, 385-399, 2021
52021
OCR17: Ground truth and models for 17th c
S Gabay, T Clérice, C Reul
French prints (and hopefully more).(May 2020), 2020
52020
Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks
C Wick, C Reul, F Puppe
arXiv preprint arXiv:1802.10033, 2018
52018
Cross dataset evaluation of feature extraction techniques for leaf classification
C Reul, M Toepfer, F Puppe
Internatial J. Artif. Intell. Appl.(IJAIA) 7 (2), 1-20, 2016
42016
OCR4all-Eine semi-automatische Open-Source-Software für die OCR historischer Drucke.
M Wehner, M Dahnke, F Landes, R Nasarek, C Reul
DHd, 43-45, 2020
32020
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