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Converting a Common Low-Cost Document Scanner into a Multispectral Scanner

1,†, 2,3,† and 4,*
1
School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA 5095, Australia
2
School of Electrical Engineering and Computer Science (SEECS), National University of Science and Technology (NUST), Islamabad 44000, Pakistan
3
Deep Learning Laboratory, National Center of Artificial Intelligence, Islamabad 44000, Pakistan
4
Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA 6009, Australia
*
Author to whom correspondence should be addressed.
Previous address: Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA 6009, Australia.
Sensors 2019, 19(14), 3199; https://doi.org/10.3390/s19143199
Received: 20 May 2019 / Revised: 18 July 2019 / Accepted: 18 July 2019 / Published: 20 July 2019
(This article belongs to the Special Issue Document-Image Related Visual Sensors and Machine Learning Techniques)
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PDF [27313 KB, uploaded 20 July 2019]
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Abstract

Forged documents and counterfeit currency can be better detected with multispectral imaging in multiple color channels instead of the usual red, green and blue. However, multispectral cameras/scanners are expensive. We propose the construction of a low cost scanner designed to capture multispectral images of documents. A standard sheet-feed scanner was modified by disconnecting its internal light source and connecting an external multispectral light source comprising of narrow band light emitting diodes (LED). A document was scanned by illuminating the scanner light guide successively with different LEDs and capturing a scan of the document. The system costs less than a hundred dollars and is portable. It can potentially be used for applications in verification of questioned documents, checks, receipts and bank notes. View Full-Text
Keywords: multispectral imaging; document scanning; portable sensor multispectral imaging; document scanning; portable sensor
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Khan, Z.; Shafait, F.; Mian, A. Converting a Common Low-Cost Document Scanner into a Multispectral Scanner. Sensors 2019, 19, 3199.

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