Título:
|
Validation of optical codes based on 3D nanostructures
|
Autor/a:
|
Carnicer González, Arturo; Javidi, Bahram
|
Otros autores:
|
Universitat de Barcelona |
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. |
Materia(s):
|
-Seguretat informàtica -Visualització tridimensional -Xifratge (Informàtica) -Processament òptic de dades -Computer security -Three-dimensional display systems -Data encryption (Computer science) -Optical data processing |
Derechos:
|
(c) Society of Photo-Optical Instrumentation Engineers (SPIE), 2017
|
Tipo de documento:
|
Artículo Artículo - Versión publicada |
Editor:
|
Society of Photo-Optical Instrumentation Engineers (SPIE)
|
Compartir:
|
|