Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes

Autor: Christoph Wick, Jochen Zöllner, Tobias Grüning

Publikováno v: Document Analysis Systems ISBN: 9783031065545

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f07d40950cd5a035194bf314b3a707a7
https://doi.org/10.1007/978-3-031-06555-2_18

Transformer for Handwritten Text Recognition Using Bidirectional Post-decoding

Autor: Jochen Zöllner, Christoph Wick, Tobias Grüning

Publikováno v: Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863333
ICDAR (3)

Most recently, Transformers – which are recurrent-free neural network architectures – achieved tremendous performances on various Natural Language Processing (NLP) tasks. Since Transformers represent a traditional Sequence-To-Sequence (S2S)-appro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe7fe2a8e8c0f53ea58e441061085cb3
https://doi.org/10.1007/978-3-030-86334-0_8

Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study

Autor: Philip Schofield, Joan Puigcerver Pérez, Markus Diem, Lauri Hirvonen, Tobias Hodel, Enrique Vidal, Hervé Déjean, Basilis Gatos, Tamara Terbul, Vicente Bosch, Konstantinos Zagoris, Mario Kallio, Florian Kleber, M. Bryan, Louise Seaward, Eva Lang, Alejandro Héctor Toselli, Vili Haukkovaara, Nathanael Philipp, Georgios Louloudis, Sören Laube, Sebastian Colutto, Tobias Strauß, Guenter Muehlberger, Christian Sieber, Johannes Michael, Matti Jokinen, Stefan Fiel, Albert Greinoecker, Hannelore Putz, George Retsinas, Herbert Wurster, Mauricio Villegas, Rory McNicholl, Nikolaos Stamatopoulos, Gundram Leifert, Frédéric Kaplan, Roger Labahn, Tobias Grüning, Gerhard Heyer, Joan Andreu Sánchez, Giorgos Sfikas, Elena Mühlbauer, Ioannis Pratikakis, Verónica Romero, Jean-Luc Meunier, Max Weidemann, Berthold Ulreich, Philip Kahle, Sofia Ares Oliveira, Guenter Hackl, Robert Sablatnig, Johanna Walcher, Melissa Terras

Publikováno v: Muehlberger, Guenter; Seaward, Louise; Terras, Melissa; Ares Oliveira, Sofia; Bosch, Vicente; Bryan, Maximilian; Colutto, Sebastian; Déjean, Hervé; Diem, Markus; Fiel, Stefan; Gatos, Basilis; Greinoecker, Albert; Grüning, Tobias; Hackl, Guenter; Haukkovaara, Vili; Heyer, Gerhard; Hirvonen, Lauri; Hodel, Tobias; Jokinen, Matti; Kahle, Philip; ... (2019). Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study. Journal of documentation, 75(5), pp. 954-976. Emerald 10.1108/jd-07-2018-0114
Seaward, L, Terras, M, Muehlberger, G, Ares Oliveira, S, Vicente, B, Colutto, S, Déjean, H, Diem, M, Fiel, S, Gatos, B, Grüning, T, Greinoecker, A, Hackl, G, Haukkovaara, V, Heyer, G, Hirvonen, L, Hodel, T, Jokinen, M, Jokinen, P, Kallio, M, Kaplan, F, Kleber, F, Labahn, R, Lang, E M, Laube, S, Leifert, G, Louloudis, G, McNicholl, R, Meunier, J-L, Mühlbauer, E, Philipp, N, Pratikakis, I, Puigcerver Pérez, J, Putz, H, Retsinas, G, Romero, V, Sablatnig, R, Sánchez, J A, Schofield, P, Sfikas, G, Sieber, C, Stamatopoulos, N, Strauss, T, Terbul, T, Toselli, A H, Ulreich, B, Villega, M, Vidal, E, Walcher, J, Weidemann, M, Wurster, H, Zagoris, K, Bryan, M & Michael, J 2019, ' Transforming scholarship in the archives through handwritten text recognition : Transkribus as a case study ', Journal of Documentation, vol. 75, no. 5, pp. 954-976 . https://doi.org/10.1108/JD-07-2018-0114

Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12dc00900b7e878be4e4cb9861629300
https://boris.unibe.ch/137985/1/10-1108_JD-07-2018-0114.pdf

cBAD: ICDAR2017 Competition on Baseline Detection

Autor: Florian Kleber, Basilis Gatos, Markus Diem, Stefan Fiel, Tobias Grüning

Publikováno v: ICDAR
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
reposiTUm
OpenAIRE

The cBAD competition aims at benchmarking state-of-the-art baseline detection algorithms. It is in line with previous competitions such as the ICDAR 2013 Handwriting Segmentation Contest. A new, challenging, dataset was created to test the behavior o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80ce470274a101e1849858700c7c6929
https://doi.org/10.1109/icdar.2017.222

Regular expressions for decoding of neural network outputs

Autor: Gundram Leifert, Roger Labahn, Tobias Strauß, Tobias Grüning

Publikováno v: Neural Networks

This article proposes a convenient tool for decoding the output of neural networks trained by Connectionist Temporal Classification (CTC) for handwritten text recognition. We use regular expressions to describe the complex structures expected in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::459168c90cf1dd239296518bcef07d97
https://pubmed.ncbi.nlm.nih.gov/27078574