<div class="csl-bib-body">
<div class="csl-entry">Diem, M., Kleber, F., Fiel, S., Grüning, T., & Gatos, B. (2017). cBAD: ICDAR2017 Competition on Baseline Detection. In <i>2017 14th IAPR International Conference on Document Analysis and Recognition : ICDAR 2017</i>. 2017 14th IAPR International Conference on Document Analysis and Recognition, Kyoto, Japan. https://doi.org/10.1109/ICDAR.2017.222</div>
</div>
The final publication is available via <a href="https://doi.org/10.1109/ICDAR.2017.222" target="_blank">https://doi.org/10.1109/ICDAR.2017.222</a>.
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dc.description.abstract
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 of state-of-the-art systems on real world data. Since traditional evaluation schemes are not applicable to the size and modality of this dataset, we present a new one that introduces baselines to measure performance. We received submissions from five different teams for both tracks.
en
dc.description.sponsorship
European Union's Horizon 2020
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dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
cBAD
en
dc.subject
baseline detection
en
dc.subject
text-line detection
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dc.title
cBAD: ICDAR2017 Competition on Baseline Detection
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.contributor.affiliation
University of Rostock, Germany
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dc.contributor.affiliation
National Centre of Scientific Research "Demokritos", Greece
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dc.relation.isbn
9781538635865
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dc.relation.doi
10.1109/ICDAR43114.2017
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dc.relation.grantno
674943
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dc.rights.holder
2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2017 14th IAPR International Conference on Document Analysis and Recognition : ICDAR 2017
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tuw.version
smur
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tuw.publication.orgunit
E193 - Institut für Rechnergestützte Automation
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tuw.publisher.doi
10.1109/ICDAR.2017.222
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dc.identifier.libraryid
AC11365321
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dc.description.numberOfPages
6
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3384
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tuw.author.orcid
0000-0002-5048-5128
-
tuw.author.orcid
0000-0001-8351-5066
-
tuw.author.orcid
0000-0001-5033-6723
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
2017 14th IAPR International Conference on Document Analysis and Recognition
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tuw.event.startdate
09-11-2017
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tuw.event.enddate
15-11-2017
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Kyoto
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tuw.event.country
JP
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tuw.event.presenter
Diem, Markus
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item.grantfulltext
open
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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item.openairetype
conference paper
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item.cerifentitytype
Publications
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item.fulltext
with Fulltext
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item.languageiso639-1
en
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
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crisitem.author.dept
University of Rostock
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crisitem.author.dept
National Centre of Scientific Research "Demokritos"
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crisitem.author.orcid
0000-0002-5048-5128
-
crisitem.author.orcid
0000-0001-8351-5066
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
