ICDAR 2021 Competition on Historical Document Classification
Seuret M, Nicolaou A, Rodríguez-Salas D, Weichselbaumer N, Stutzmann D, Mayr M, Maier A, Christlein V (2021)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2021
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Series: Lecture Notes in Computer Science
Book Volume: 12824 LNCS
Pages Range: 618-634
Conference Proceedings Title: Document Analysis and Recognition – ICDAR 2021
Event location: Lausanne
ISBN: 9783030863364
DOI: 10.1007/978-3-030-86337-1_41
Abstract
This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classification tasks, which can be solved individually or jointly: font group/script type, location, date. The document images are provided by several institutions and are taken from handwritten and printed books as well as from charters. In contrast to previous competitions, all participants relied upon Deep Learning based approaches. Nevertheless, we saw a great performance variety of the different submitted systems. The easiest task seemed to be font group recognition while the script type classification and location classification were more challenging. In the dating task, the best system achieved a mean absolute error of about 22 years.
Authors with CRIS profile
Mathias Seuret
Lehrstuhl für Informatik 5 (Mustererkennung)
Martin Mayr
Lehrstuhl für Informatik 5 (Mustererkennung)
Andreas Maier
Lehrstuhl für Informatik 5 (Mustererkennung)
Vincent Christlein
Lehrstuhl für Informatik 5 (Mustererkennung)
Involved external institutions
Institut de recherche et d'histoire des textes (IRHT)
France (FR)
Johannes Gutenberg-Universität Mainz (JGU)
Germany (DE)
France (FR)
Johannes Gutenberg-Universität Mainz (JGU)
Germany (DE)
How to cite
APA:
Seuret, M., Nicolaou, A., Rodríguez-Salas, D., Weichselbaumer, N., Stutzmann, D., Mayr, M.,... Christlein, V. (2021). ICDAR 2021 Competition on Historical Document Classification. In Josep Lladós, Daniel Lopresti, Seiichi Uchida (Eds.), Document Analysis and Recognition – ICDAR 2021 (pp. 618-634). Lausanne, CH: Springer Science and Business Media Deutschland GmbH.
MLA:
Seuret, Mathias, et al. "ICDAR 2021 Competition on Historical Document Classification." Proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne Ed. Josep Lladós, Daniel Lopresti, Seiichi Uchida, Springer Science and Business Media Deutschland GmbH, 2021. 618-634.
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