Abstract
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 |
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@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} }
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In this paper we present a template based table structure matching using association graphs for handwritten/printed historical documents.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 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%.
Details on the gender equality index score 2023 (related to year 2022) for NAVER France of 81/100.
NAVER France targets are as follows:
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Index NAVER France de l’égalité professionnelle entre les femmes et les hommes pour l’année 2023 au titre des données 2022 : 81/100
Détail des indicateurs :
Les objectifs de progression de NAVER France sont :
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