| 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 | 96 | 2018 |
| 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 | 91 | 2019 |
| Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin U Springmann, C Reul, S Dipper, J Baiter arXiv preprint arXiv:1809.05501, 2018 | 44 | 2018 |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 | 40 | 2018 |
| 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 | 30 | 2018 |
| 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 | 26 | 2017 |
| 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 | 25 | 2018 |
| 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 | 18 | 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 | 18 | 2017 |
| Transfer learning for OCRopus model training on early printed books C Reul, C Wick, U Springmann, F Puppe arXiv preprint arXiv:1712.05586, 2017 | 17 | 2017 |
| 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 | 10 | 2023 |
| 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finetuning C Reul, C Wick, M Nöth, A Büttner, M Wehner, U Springmann Proceedings of the 6th International Workshop on Historical Document Imaging …, 2021 | 8 | 2021 |
| 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 | 7 | 2018 |
| 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 | 6 | 2022 |
| 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 | 6 | 2019 |
| One-model ensemble-learning for text recognition of historical printings C Wick, C Reul International Conference on Document Analysis and Recognition, 385-399, 2021 | 5 | 2021 |
| OCR-D & OCR4all: Two Complementary Approaches for Improved OCR of Historical Sources. K Baierer, A Büttner, E Engl, L Hinrichsen, C Reul HistoInformatics@ JCDL, 2021 | 5 | 2021 |
| OCR17: Ground truth and models for 17th c S Gabay, T Clérice, C Reul French prints (and hopefully more).(May 2020), 2020 | 5 | 2020 |
| Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks C Wick, C Reul, F Puppe arXiv preprint arXiv:1802.10033, 2018 | 5 | 2018 |
| 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 | 4 | 2016 |
