agomberto/FrenchCensus-handwritten-texts

Tasks

• image-to-text

Citation text from the card

@InProceedings{10.1007/978-3-031-06555-2_10,
author="Constum, Thomas
and Kempf, Nicolas
and Paquet, Thierry
and Tranouez, Pierrick
and Chatelain, Cl{\'e}ment
and Br{\'e}e, Sandra
and Merveille, Fran{\c{c}}ois",
editor="Uchida, Seiichi
and Barney, Elisa
and Eglin, V{\'e}ronique",
title="Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early {\$}{\$}20^{\{}th{\}}{\$}{\$}Century Paris Census",
booktitle="Document Analysis Systems",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="143--157",
abstract="We aim to build a vast database (up to 9 million individuals) from the handwritten tabular nominal census of Paris of 1926, 1931 and 1936, each composed of about 100,000 handwritten simple pages in a tabular format. We created a complete pipeline that goes from the scan of double pages to text prediction while minimizing the need for segmentation labels. We describe how weighted finite state transducers, writer specialization and self-training further improved our results. We also introduce through this communication two annotated datasets for handwriting recognition that are now publicly available, and an open-source toolkit to apply WFST on CTC lattices.",
isbn="978-3-031-06555-2"
}

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