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Proceedings Paper

Security authentication with a three-dimensional optical phase code using random forest classifier: an overview
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Paper Abstract

We overview our recent work [1] on utilizing three-dimensional (3D) optical phase codes for object authentication using the random forest classifier. A simple 3D optical phase code (OPC) is generated by combining multiple diffusers and glass slides. This tag is then placed on a quick-response (QR) code, which is a barcode capable of storing information and can be scanned under non-uniform illumination conditions, rotation, and slight degradation. A coherent light source illuminates the OPC and the transmitted light is captured by a CCD to record the unique signature. Feature extraction on the signature is performed and inputted into a pre-trained random-forest classifier for authentication.

Paper Details

Date Published: 10 May 2017
PDF: 4 pages
Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021913 (10 May 2017); doi: 10.1117/12.2263997
Show Author Affiliations
Adam Markman, Univ. of Connecticut (United States)
Artur Carnicer, Univ. de Barcelona (Spain)
Bahram Javidi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 10219:
Three-Dimensional Imaging, Visualization, and Display 2017
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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