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10/12/2021
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
In contrast to Connectionist Temporal Classification (CTC) approaches, S...
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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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04/23/2021
Optimizing small BERTs trained for German NER
Currently, the most widespread neural network architecture for training ...
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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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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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12/04/2017
Leaf Identification Using a Deep Convolutional Neural Network
Convolutional neural networks (CNNs) have become popular especially in c...
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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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11/21/2017
