Article (Scientific journals)
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification
Arenas Correa, Monica Patricia; Demirci, Huseyin; Lenzini, Gabriele
2022In Machine Learning and Knowledge Extraction, 4 (1), p. 222-239
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Keywords :
object verification; similarity scores; data analysis; Cholesteric Spherical Reflectors
Abstract :
[en] Arrays of Cholesteric Spherical Reflectors (CSRs), microscopic cholesteric liquid crystals in a spherical shape, have been argued to become a game-changing technology in anti-counterfeiting. Used to build identifiable tags or coating, called CSR IDs, they can supply objects with unclonable fingerprint-like characteristics, making it possible to authenticate objects. In a previous study, we have shown how to extract minutiæ from CSR IDs. In this journal version, we build on that previous research, consolidate the methodology, and test it over CSR IDs obtained by different production processes. We measure the robustness and reliability of our procedure on large and variegate sets of CSR IDs’ images taken with a professional microscope (Laboratory Data set) and with a microscope that could be used in a realistic scenario (Realistic Data set). We measure intra-distance and interdistance, proving that we can distinguish images coming from the same CSR ID from images of different CSR IDs. However, without surprise, images in Laboratory Data set have an intra-distance that on average is less, and with less variance, than the intra-distance between responses from Realistic Data set. With this evidence, we discuss a few requirements for an anti-counterfeiting technology based on CSRs.
Disciplines :
Computer science
Author, co-author :
Arenas Correa, Monica Patricia ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
Demirci, Huseyin ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
Lenzini, Gabriele ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
External co-authors :
no
Language :
English
Title :
An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification
Publication date :
24 February 2022
Journal title :
Machine Learning and Knowledge Extraction
ISSN :
2504-4990
Publisher :
MDPI AG, Switzerland
Volume :
4
Issue :
1
Pages :
222-239
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR15299666 - No More Fakes, Proof-of-concept, 2020 (01/06/2021-31/05/2023) - Gabriele Lenzini
Available on ORBilu :
since 22 March 2022

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