Matching Table Structures of Historical Register Books using Association Graphs

Kleber, Florian; Diem, Markus; Dejean, Herve; Meunier, Jean-Luc; Lang, Eva

doi:10.1109/ICFHR-2018.2018.00046

Datensatz Zitierlink:

https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3758
http://hdl.handle.net/20.500.12708/922

Titel:

Matching Table Structures of Historical Register Books using Association Graphs

Zitat:

Kleber, F., Diem, M., Dejean, H., Meunier, J.-L., & Lang, E. (2018). Matching Table Structures of Historical Register Books using Association Graphs. In 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) : 5-8 Aug. 2018. 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), Niagara Falls, United States of America (the). https://doi.org/10.1109/ICFHR-2018.2018.00046

CatalogPlus:

AC15144296

Verlags-DOI:

10.1109/ICFHR-2018.2018.00046

Publikationstyp:

Konferenzbeitrag - Full-Paper Contribution

Sprache:

Englisch

Autor_innen:

Kleber, Florian
Diem, Markus
Dejean, Herve
Meunier, Jean-Luc
Lang, Eva

Organisationseinheit:

E193 - Institut für Visual Computing and Human-Centered Technology

Erschienen in:

2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) : 5-8 Aug. 2018

ISBN:

9781538658758

DOI des Buches:

10.1109/ICFHR44711.2018

Datum (veröffentlicht):

2018

Veranstaltungsname:

2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)

Veranstaltungszeitraum:

5-Aug-2018 - 8-Aug-2018

Veranstaltungsort:

Niagara Falls, Vereinigte Staaten von Amerika

Umfang:

Keywords:

document image analysis; table recognition; table matching

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In this paper we present a template-based table structure matching using association graphs for handwritten/printed historical documents.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%.

Weitere Information:

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>.

Lizenz:

Urheberrechtsschutz

Enthalten in den Sammlungen:

Conference Paper