RT info:eu-repo/semantics/article
T1 Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes
A1 Ahmadi, Kavan
A1 Latorre Carmona, Pedro
A1 Javidi, Bahram
A1 Carnicer, Artur
K1 Optical authentication and security
K1 Optical polarization
K1 Speckle noise
K1 Óptica
K1 Optics
K1 Aprendizaje automático
K1 Machine learning
K1 Impresión 3D
K1 Three-dimensional printing
AB Document signature is a powerful technique used to determine whether a message is tampered or valid. Recently, this concept was extended to optical codes: we demonstrated that the combined use of optical techniques and machine learning algorithms might be able to distinguish among different classes of samples. In the present work, we produce nano particle encoded optical codes with predetermined designs synthesized with a 3D printer. We used conventional polylactic acid filament filled with metallic powder to include the effect of nano-encoding for unique polarimetric signatures. We investigated an interesting real-world scenario, that is, we demonstrate how a single class of codes is distinguished among a group of samples to be rejected. This is a difficult unbalanced problem since the number of polarimetric signatures that characterize the true class is small compared to the complete dataset. Each sample is characterized by analyzing the polarization state of the emerging light. Using the one class-support vector machine algorithm we found high accuracy figures in the recognition of the true class codes. To the best of our knowledge, this is the first report on implementing optical codes with nano particle encoded materials using 3D printing technology.
PB Institute of Electrical and Electronics Engineers
YR 2020
FD 2020-04
LK https://hdl.handle.net/10259/11234
UL https://hdl.handle.net/10259/11234
LA eng
NO Funding Agency: 10.13039/100000181-Air Force Office of Scientific Research 10.13039/501100003329-Ministerio de Economía y Competitividad (Grant Number: FIS2016-75147-C3-1-P)
DS Repositorio Institucional de la Universidad de Burgos
RD 18-may-2026