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Terahertz Imaging for Paper Handling of Legacy Documents.
Zhai, Min; Locquet, Alexandre; Citrin, David S.
Afiliação
  • Zhai M; Georgia Tech-CNRS IRL2958, Georgia Tech Lorraine, 2 Rue Marconi, 57070 Metz, France.
  • Locquet A; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Citrin DS; Georgia Tech-CNRS IRL2958, Georgia Tech Lorraine, 2 Rue Marconi, 57070 Metz, France.
Sensors (Basel) ; 21(20)2021 Oct 12.
Article em En | MEDLINE | ID: mdl-34695967
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article