OCR4all - an open-source tool providing a (semi-)automatic OCR workflow for historical printings

Reul, Christian; Christ, Dennis; Hartelt, Alexander; Balbach, Nico; Wehner, Maximilian; Springmann, Uwe; Wick, Christoph; Grundig, Christine; Büttner, Andreas; Puppe, Frank

doi:10.3390/app9224853

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Reul, C., Christ, D., Hartelt, A., Balbach, N., Wehner, M., Springmann, U., Wick, C., Grundig, C., Büttner, A., & Puppe, F. (2019). OCR4all - an open-source tool providing a (semi-)automatic OCR workflow for historical printings. Applied Sciences, 9(22), 4853. https://doi.org/10.3390/app9224853

Abstract

Optical Character Recognition (OCR) on historical printings is a challenging task mainly due to the complexity of the layout and the highly variant typography. Nevertheless, in the last few years, great progress has been made in the area of historical OCR, resulting in several powerful open-source tools for preprocessing, layout analysis and segmentation, character recognition, and post-processing. The drawback of these tools often is their limited applicability by non-technical users like humanist scholars and in particular the combi