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

Record link:

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

Title:

Matching Table Structures of Historical Register Books using Association Graphs

Citation:

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

Publisher DOI:

10.1109/ICFHR-2018.2018.00046

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

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

Organisational Unit:

E193 - Institut für Visual Computing and Human-Centered Technology

Published in:

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

ISBN:

9781538658758

DOI of the book:

10.1109/ICFHR44711.2018

Date (published):

2018

Event name:

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

Event date:

5-Aug-2018 - 8-Aug-2018

Event place:

Niagara Falls, United States of America (the)

Number of Pages:

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In this paper we present a template-based table structure matching using association graphs for handwritten/printed historical documents.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

Additional 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>.

License:

In Copyright

Appears in Collections:

Conference Paper