448 citations · 556 across the 11 of their papers we have counts for
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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…
cs.DL2016★ 20 cited
Automatic quality evaluation and (semi-) automatic improvement of OCR models for historical printings
U. Springmann, F. Fink, K. U. Schulz
Good OCR results for historical printings rely on the availability of recognition models trained on diplomatic transcriptions as ground truth, which is both a scarce resource and t…