Christian Reul
Christian Reul
Centre for Philology and Digitality, University of Würzburg
Verified email at uni-wuerzburg.de - Homepage
Title
Cited by
Cited by
Year
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
212018
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
162018
Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus.
C Wick, C Reul, F Puppe
J. Lang. Technol. Comput. Linguistics 33 (1), 79-96, 2018
152018
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
142018
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
142017
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
142017
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
132019
Transfer learning for OCRopus model training on early printed books
C Reul, C Wick, U Springmann, F Puppe
arXiv preprint arXiv:1712.05586, 2017
92017
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
72018
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin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
62018
GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin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
62018
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
32019
Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks
C Wick, C Reul, F Puppe
arXiv preprint arXiv:1802.10033, 2018
22018
Autonomous quadrocopter for search, count and localization of objects
N Gageik, C Reul, S Montenegro
Recent Advances in Robotic Systems, InTech, 1-25, 2016
22016
Cross dataset evaluation of feature extraction techniques for leaf classification
C Reul, M Toepfer, F Puppe
Internatial Journal of Artificial Intelligence & Applications (IJAIA) 7 (2), 2016
12016
Expectation-Driven Text Extraction from Medical Ultrasound Images.
C Reul, P Köberle, N Üçeyler, F Puppe
MIE, 712-716, 2016
12016
OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more)
S Gabay, T Clérice, C Reul
2020
An Intelligent Semi-Automatic Workflow for Optical Character Recognition of Historical Printings
C Reul
2020
Semiautomatische Metadaten-Extraktion und Qualit {\" a} tsmanagement in Workflow-Systemen zur Digitalisierung historischer Dokumente
F Lemmerich, M Ifland, W Igl, B Kaempgen, S Furth, G Dietrich, K Djebko, ...
W {\" u} rzburg University Press, 0
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Articles 1–19