	US 12,293,007 B2
	Object authentication using digital blueprints and physical fingerprints
Svyatoslav Voloshynovskiy, Vesénaz (CH); Olga Taran, Petit-Lancy (CH); Joakim Tutt, Petit-Lancy (CH); and Taras Holotyak, Geneva (CH)
Assigned to Université de Genève, Geneva (CH)
Filed by Université de Genève, Geneva (CH)
Filed on Jun. 8, 2022, as Appl. No. 17/835,674.
Claims priority of application No. 00676/21 (CH), filed on Jun. 8, 2021; and application No. 21182951 (EP), filed on Jun. 30, 2021.
Prior Publication US 2022/0398348 A1, Dec. 15, 2022
Int. Cl. G06F 21/00 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2433 (2023.01); G06F 21/64 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01)

CPC G06F 21/64 (2013.01) [G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2433 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01)]

28 Claims

1. A method for authentication of physical objects, in particular of physical batch objects, adapted to be produced based on a set of blueprints {t_i}^N_i=1comprising, at a training stage, the steps of:

acquiring a set of training signals representing fingerprints {x_i}^N_i=1of said physical objects;

providing a mapper adapted to perform an operation on said fingerprints {x_i}^N_i=1and a classifier adapted to be applied to at least one similarity score;

training said mapper and/or said classifier on said set of training signals {x_i}^N_i=1to obtain a learned mapper and/or a learned classifier;

enrolling objects to be protected; and

at an authentication stage, the steps of:

acquiring a probe signal y from a physical object to be authenticated;

applying the mapper and classifier, at least one of which is learned, to the probe signal y;

producing a decision about authenticity of the physical object represented by the probe signal y based on output of the classifier,

wherein said mapper is adapted to produce an estimate t_lof blueprint t_ibased on fingerprint x_iand said classifier is a one-class classifier, and

the method further comprises, at said training stage, the steps of:

acquiring said set of blueprints {t_i}^N_i=1comprising at least one blueprint t_i,

providing a set of similarity scores for said blueprints;

performing a joint training of said mapper and one-class classifier on said set of training signals {x_i}^N_i=1and said set of blueprints {t_i}^N_i=1to obtain a jointly learned mapper and a jointly learned one-class classifier; and

at said authentication stage, the method further comprises the steps of:

applying jointly the mapper and one-class classifier to the probe signal y; and

said output of the one-class classifier allowing a decision about authenticity of the object represented by the probe signal y, being produced based on fingerprints x_iand/or blueprints t_i.