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将普通低成本文档扫描仪转变为多光谱扫描仪。

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

作者信息

Khan Zohaib, Shafait Faisal, Mian Ajmal

机构信息

School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA 5095, Australia.

School of Electrical Engineering and Computer Science (SEECS), National University of Science and Technology (NUST), Islamabad 44000, Pakistan.

出版信息

Sensors (Basel). 2019 Jul 20;19(14):3199. doi: 10.3390/s19143199.

DOI:10.3390/s19143199
PMID:31330773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679315/
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.

摘要

通过多光谱成像在多个颜色通道而非通常的红、绿、蓝通道,可以更好地检测伪造文件和假钞。然而,多光谱相机/扫描仪价格昂贵。我们提议构建一种低成本扫描仪,用于捕获文件的多光谱图像。通过断开标准单页进纸扫描仪的内部光源并连接一个由窄带发光二极管(LED)组成的外部多光谱光源,对其进行了改装。通过用不同的LED依次照亮扫描仪的光导并捕获文件扫描图像来扫描文件。该系统成本不到一百美元且便于携带。它有可能用于可疑文件、支票、收据和钞票的验证应用。

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本文引用的文献

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5D hyperspectral imaging: fast and accurate measurement of surface shape and spectral characteristics using structured light.5D高光谱成像:利用结构光快速准确测量表面形状和光谱特征
Opt Express. 2018 Sep 3;26(18):23366-23379. doi: 10.1364/OE.26.023366.
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Snap-shot multispectral imaging of vascular dynamics in a mouse window-chamber model.小鼠窗室模型中血管动力学的快照多光谱成像。
Opt Lett. 2015 Jul 15;40(14):3292-5. doi: 10.1364/OL.40.003292.
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Forged seal detection based on the seal overlay metric.基于印鉴叠印度量的伪造印鉴检测。
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