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

Adam Markman; Artur Carnicer; Bahram Javidi

doi:10.1117/12.2263997

10 May 2017 Security authentication with a three-dimensional optical phase code using random forest classifier: an overview

Adam Markman, Artur Carnicer, Bahram Javidi

Author Affiliations +

Proceedings Volume 10219, Three-Dimensional Imaging, Visualization, and Display 2017; 1021913 (2017) https://doi.org/10.1117/12.2263997
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

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.

Citation Download Citation

Adam Markman, Artur Carnicer, and Bahram Javidi "Security authentication with a three-dimensional optical phase code using random forest classifier: an overview", Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 1021913 (10 May 2017); https://doi.org/10.1117/12.2263997

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