Abstract
Publications home
Matching table structures of historical register books using association graphs
at
| Florian Kleber, Markus Diem, Hervé Déjean, Jean-Luc Meunier, Eva Lang |
| 16th International Conference on Frontiers in Handwriting Recognition, Niagara Falls, USA, 5-8 August, 2018 |
| Download |
@inproceedings{inproceedings,
author = {Kleber, Florian and Diem, Markus and Dejean, Herve and Meunier, Jean-Luc and Lang, Eva},
year = {2018},
month = {08},
pages = {217-222},
title = {Matching Table Structures of Historical Register Books using Association Graphs},
doi = {10.1109/ICFHR-2018.2018.00046}
}In this paper we present a template based table structure matching using association graphs for handwritten/printed historical documents.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 maximimum 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 from 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%.
This web site uses cookies for the site search, to display videos and for aggregate site analytics.
Learn more about these cookies in our privacy notice.
Cookie settings
You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.
This content is currently blocked. To view the content please either 'Accept social media cookies' or 'Accept all cookies'.
For more information on cookies see our privacy notice.