| 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 | 21 | 2018 |
| 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 | 16 | 2018 |
| 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 | 15 | 2018 |
| 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 | 14 | 2018 |
| 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 | 14 | 2017 |
| 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 | 14 | 2017 |
| 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 | 13 | 2019 |
| Transfer learning for OCRopus model training on early printed books C Reul, C Wick, U Springmann, F Puppe arXiv preprint arXiv:1712.05586, 2017 | 9 | 2017 |
| 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 | 7 | 2018 |
| Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin U Springmann, C Reul, S Dipper, J Baiter arXiv preprint arXiv:1809.05501, 2018 | 6 | 2018 |
| GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin U Springmann, C Reul, S Dipper, J Baiter Aug, 2018 | 6 | 2018 |
| 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 | 3 | 2019 |
| Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks C Wick, C Reul, F Puppe arXiv preprint arXiv:1802.10033, 2018 | 2 | 2018 |
| Autonomous quadrocopter for search, count and localization of objects N Gageik, C Reul, S Montenegro Recent Advances in Robotic Systems, InTech, 1-25, 2016 | 2 | 2016 |
| 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 | 1 | 2016 |
| Expectation-Driven Text Extraction from Medical Ultrasound Images. C Reul, P Köberle, N Üçeyler, F Puppe MIE, 712-716, 2016 | 1 | 2016 |
| 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 | | |
