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2017-05-10

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/118838

Validation of optical codes based on 3D nanostructures

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https://doi.org/10.1117/12.2262417

Abstract

Image information encoding using random phase masks produce speckle-like noise distributions when the sample is propagated in the Fresnel domain. As a result, information cannot be accessed by simple visual inspection. Phase masks can be easily implemented in practice by attaching cello-tape to the plain-text message. Conventional 2D-phase masks can be generalized to 3D by combining glass and diffusers resulting in a more complex, physical unclonable function. In this communication, we model the behavior of a 3D phase mask using a simple approach: light is propagated trough glass using the angular spectrum of plane waves whereas the diffusor is described as a random phase mask and a blurring effect on the amplitude of the propagated wave. Using different designs for the 3D phase mask and multiple samples, we demonstrate that classification is possible using the k-nearest neighbors and random forests machine learning algorithms.

Subject

Seguretat informàtica, Visualització tridimensional, Xifratge (Informàtica), Processament òptic de dades

Subject (English)

Computer security, Three-dimensional display systems, Data encryption (Computer science), Optical data processing

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Citation

CARNICER GONZÁLEZ, Arturo and JAVIDI, Bahram. Validation of optical codes based on 3D nanostructures. Proceedings of SPIE. 2017. Vol. 10219, num. 102190M-1-102190M-6. ISSN 0277-786X. [consulted: 15 of August of 2026]. Available at: https://hdl.handle.net/2445/118838

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