An end-to-end pipeline for historical censuses processing

Censuses are structured documents of great value for social and demographic history, which became widespread from the nineteenth century on. However, the plurality of formats and the natural variability of historical data make their extraction arduous and often lead to ungeneric recognition algorith...

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Veröffentlicht in:	International journal on document analysis and recognition Jg. 26; H. 4; S. 419 - 432
Hauptverfasser:	Petitpierre, Rémi, Kramer, Marion, Rappo, Lucas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023 Springer Nature B.V
Schlagworte:	Algorithms Census Censuses Columnar structure Computer Science Computer vision Deep learning Dictionaries Documents Image Processing and Computer Vision Neural networks Original Paper Pattern Recognition Performance enhancement Recognition Semantic segmentation Handwritten text recognition OCR post-correction Tabular document understanding Historical document processing Layout analysis
ISSN:	1433-2833, 1433-2825
Online-Zugang:	Volltext
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