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cs.CL2018★ 1 cited
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
Uwe Springmann, Christian Reul, Stefanie Dipper +1
In this paper we describe a dataset of German and Latin \textit{ground truth} (GT) for historical OCR in the form of printed text line images paired with their transcription. This…
cs.CL2016
OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus
U. Springmann, A. Lüdeling
This article describes the results of a case study that applies Neural Network-based Optical Character Recognition (OCR) to scanned images of books printed between 1487 and 1870 by…