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Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning.

, , , and . CoRR, (2018)

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Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting., , , and . CoRR, (2017)Transfer Learning for OCRopus Model Training on Early Printed Books., , , and . CoRR, (2017)Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus., , and . J. Lang. Technol. Comput. Linguistics, 33 (1): 79-96 (2018)Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes., , and . CoRR, (2021)OMMR4all — a Semiautomatic Online Editor for Medieval Music Notations, and . 2nd International Workshop on Reading Music Systems, page 31--34. Delft, The Netherlands, (2019)State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines., , , and . DHd, (2019)Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images., and . DAS, page 287-292. IEEE Computer Society, (2018)Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition, , and . Digital Humanities Quarterly, (2020)Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification, , , , , and . Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage, (2019)Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning., , , and . CoRR, (2018)