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01/19/2022
Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning
This paper deals with the task of practical and open source Handwritten ...
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06/15/2021
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning
In order to apply Optical Character Recognition (OCR) to historical prin...
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09/09/2019
OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings
Optical Character Recognition (OCR) on historical printings is a challen...
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10/08/2018
State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines
In this paper we evaluate Optical Character Recognition (OCR) of 19th ce...
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09/14/2018
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin
In this paper we describe a dataset of German and Latin ground truth (GT...
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07/05/2018
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition
Optical Character Recognition (OCR) on contemporary and historical data ...
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02/27/2018
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning
We combine three methods which significantly improve the OCR accuracy of...
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02/27/2018
Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks
This paper proposes a combination of a convolutional and a LSTM network ...
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12/15/2017
Transfer Learning for OCRopus Model Training on Early Printed Books
A method is presented that significantly reduces the character error rat...
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11/27/2017
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting
In this paper we introduce a method that significantly reduces the chara...
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01/20/2017
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488)
This paper provides the first thorough documentation of a high quality d...
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01/20/2017