Title :
SketchPrint: Physical object micro-structure identification using mobile phones
Author :
Maurits Diephuis;Sviatoslav Voloshynovskiy;Taras Holotyak
Author_Institution :
Stochastic Information Processing Group, University of Geneva 7, Route de Drize, CH-1227, Carouge, Switzerland
Abstract :
This paper addresses the identification of physical objects based on their physical non-cloneable surface structures. These micro-structures are optically acquired using a hand held non-modified consumer mobile phone. Object identification is done with the SketchPrint descriptor, which combines fingerprint-like properties while having reasonable invariance to geometrical and lighting distortions due to its semi-local nature. Crucially, objects can be identified without any geometrical matching or final re-ranking procedure.
Keywords :
"Feature extraction","Indexes","Computer architecture","Probes","Europe","Signal processing"
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
DOI :
10.1109/EUSIPCO.2015.7362500