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Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus, , and . JLCL: Special Issue on Automatic Text and Layout Recognition, 33 (1): 79-96 (2018)Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting, , , and . (2017)cite arxiv:1711.09670.Transfer Learning for OCRopus Model Training on Early Printed Books, , , and . 027.7 Journal for Library Culture, (2017)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 DHd, (2019)Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images., and .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)Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks., , and . CoRR, (2018)Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images, and . (2017)cite arxiv:1711.07695Comment: 6 pages, 8 figures, conference.Leaf Identification Using a Deep Convolutional Neural Network, and . (2017)cite arxiv:1712.00967.State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines., , , and . CoRR, (2018)