Terahertz Imaging for Paper Handling of Legacy Documents

Authors :: David S. Citrin
Min Zhai
Alexandre Locquet
Georgia Tech Lorraine [Metz]
Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Georgia Institute of Technology [Atlanta]-CentraleSupélec-Ecole Nationale Supérieure des Arts et Metiers Metz-Centre National de la Recherche Scientifique (CNRS)
Source :: Sensors, Sensors, MDPI, 2021, 21 (20), pp.6756. ⟨10.3390/s21206756⟩, Sensors (Basel, Switzerland), Sensors, Vol 21, Iss 6756, p 6756 (2021), Volume 21, Issue 20
Publication Year :: 2021
Publisher :: MDPI AG, 2021.
Abstract: International audience; Despite predictions of the paperless office, global demand for printing and writing paper remains strong, and paper appears to be here to stay for some time. Not only firms, but also governments, libraries, and archives are in possession of large collections of legacy documents that still must be sorted and scanned. In this study, terahertz-based techniques are demonstrated to address several routine tasks related to the automated paper handling of unsorted legacy documents. Specifically, we demonstrate terahertz-based counting of the number of sheets in unconsolidated paper stacks, as well as locating stapled documents buried in paper stacks.

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