Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes
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...
Saved in:
| Main Authors: | Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9069171/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Influence of Optical Fiber Parameters on the Speckle Pattern and Spectral Observation in Astronomy
by: Anzhi Wang, et al.
Published: (2024-11-01) -
Compensation of Speckle Noise in 2D Images from Triangulation Laser Profile Sensors Using Local Column Median Vectors with an Application in a Quality Control System
by: Paweł Rotter, et al.
Published: (2025-05-01) -
Monte Carlo simulation of interferometric measurement and wavefront shaping under influence of shot noise and camera noise
by: Chunghyeong Lee, et al.
Published: (2025-01-01) -
Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning
by: Maryam Viqar, et al.
Published: (2024-12-01) -
Needle Beam Generated by a Laser Beam Passing Through a Scattering Medium
by: Ziyang Chen, et al.
Published: (2018-01-01)