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Terahertz Imaging for Paper Handling of Legacy Documents
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 so...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540095/ https://www.ncbi.nlm.nih.gov/pubmed/34695967 http://dx.doi.org/10.3390/s21206756 |
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author | Zhai, Min Locquet, Alexandre Citrin, David S. |
author_facet | Zhai, Min Locquet, Alexandre Citrin, David S. |
author_sort | Zhai, Min |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8540095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85400952021-10-24 Terahertz Imaging for Paper Handling of Legacy Documents Zhai, Min Locquet, Alexandre Citrin, David S. Sensors (Basel) Article 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. MDPI 2021-10-12 /pmc/articles/PMC8540095/ /pubmed/34695967 http://dx.doi.org/10.3390/s21206756 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhai, Min Locquet, Alexandre Citrin, David S. Terahertz Imaging for Paper Handling of Legacy Documents |
title | Terahertz Imaging for Paper Handling of Legacy Documents |
title_full | Terahertz Imaging for Paper Handling of Legacy Documents |
title_fullStr | Terahertz Imaging for Paper Handling of Legacy Documents |
title_full_unstemmed | Terahertz Imaging for Paper Handling of Legacy Documents |
title_short | Terahertz Imaging for Paper Handling of Legacy Documents |
title_sort | terahertz imaging for paper handling of legacy documents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540095/ https://www.ncbi.nlm.nih.gov/pubmed/34695967 http://dx.doi.org/10.3390/s21206756 |
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