<div class="csl-bib-body">
<div class="csl-entry">Kleber, F., Diem, M., Dejean, H., Meunier, J.-L., & Lang, E. (2018). Matching Table Structures of Historical Register Books using Association Graphs. In <i>16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018)</i>. https://doi.org/10.1109/ICFHR-2018.2018.00046</div>
</div>
The final publication is available via <a href="https://doi.org/10.1109/ICFHR-2018.2018.00046" target="_blank">https://doi.org/10.1109/ICFHR-2018.2018.00046</a>.
-
dc.description.abstract
In this paper we present a template-based table structure matching using association graphs for handwritten/printed historical documents. The recognition of the table structure consisting of column and header information is the prerequisite for the subsequent row detection and handwritten text recognition used for information extraction. The table matching is done by detecting the maximum clique in an association graph, which represents the matching of the line information of the template and a document of interest. This allows for variations of widths and heights of rows and columns. The presented methodology is evaluated on historical register books (death records) of the Archive of the Diocese of Passau. The method shows a reliable detection of the structure of handwritten/printed tables with a mean cell match of 88.28%.
en
dc.description.sponsorship
European Union’s Horizon 2020
-
dc.language
English
-
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
document image analysis
en
dc.subject
table recognition
en
dc.subject
table matching
en
dc.title
Matching Table Structures of Historical Register Books using Association Graphs
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.relation.publication
16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018)
-
dc.relation.isbn
9781538658758
-
dc.relation.grantno
674943
-
dc.rights.holder
2018 IEEE
-
dc.type.category
Full-Paper Contribution
-
tuw.relation.publisherplace
Niagara Falls, New York, US
-
tuw.version
am
-
tuw.publication.orgunit
E193 - Institut für Visual Computing and Human-Centered Technology
-
tuw.publisher.doi
10.1109/ICFHR-2018.2018.00046
-
dc.identifier.libraryid
AC15144296
-
dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3758
-
tuw.author.orcid
0000-0001-8351-5066
-
tuw.author.orcid
0000-0002-5048-5128
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
item.cerifentitytype
Publications
-
item.openairetype
conference paper
-
item.languageiso639-1
en
-
item.fulltext
with Fulltext
-
item.openaccessfulltext
Open Access
-
item.grantfulltext
open
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.orcid
0000-0001-8351-5066
-
crisitem.author.orcid
0000-0002-5048-5128
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology