activity
20042022
most citedAtmospheric NLTE-Models for the Spectroscopic Analysis of Blue Stars with Winds. II. Line-Blanketed Models

448 citations · 556 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CV2022★ 1 cited

Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning

Christian Reul, Stefan Tomasek, Florian Langhanki +1

This paper deals with the task of practical and open source Handwritten Text Recognition (HTR) on German medieval manuscripts. We report on our efforts to construct mixed recogniti…

cs.CV2021

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning

Christian Reul, Christoph Wick, Maximilian Nöth +3

In order to apply Optical Character Recognition (OCR) to historical printings of Latin script fully automatically, we report on our efforts to construct a widely-applicable polyfon…

cs.CV2019★ 43 cited

OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

Christian Reul, Dennis Christ, Alexander Hartelt +7

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…

cs.CV2018★ 9 cited

State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines

Christian Reul, Uwe Springmann, Christoph Wick +1

In this paper we evaluate Optical Character Recognition (OCR) of 19th century Fraktur scripts without book-specific training using mixed models, i.e. models trained to recognize a…

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Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin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.CV2018★ 3 cited

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

Christian Reul, Uwe Springmann, Christoph Wick +1

We combine three methods which significantly improve the OCR accuracy of OCR models trained on early printed books: (1) The pretraining method utilizes the information stored in al…