Physical object authentication with correlated camera noise

Zusammenfassung
In this paper, we address the problem of physical object authentication based on surface microstructure images. The authentication is based on digital content fingerprints computed from the microstructure images. We analyze the impact of camera distortions which follow additive correlated Gaussian noise. The optimal decision rule is derived and the performance is analyzed in the direct and transformed domain. The theoretical derivations are supported by experimental results obtained for the FAMOS dataset.
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  • BibTeX
Beekhof, F. P., Voloshynovskiy, S., Diephuis, M. & Farhadzadeh, F., (2013). Physical object authentication with correlated camera noise. In: Saake, G., Henrich, A., Lehner, W., Neumann, T. & Köppen, V. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband. Bonn: Gesellschaft für Informatik e.V.. (S. 65-74).
@inproceedings{mci/Beekhof2013,
author = {Beekhof, Fokko P. AND Voloshynovskiy, Sviatoslav AND Diephuis, Maurits AND Farhadzadeh, Farzad},
title = {Physical object authentication with correlated camera noise},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband},
year = {2013},
editor = {Saake, Gunter AND Henrich, Andreas AND Lehner, Wolfgang AND Neumann, Thomas AND Köppen, Veit} ,
pages = { 65-74 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-610-7
ISSN: 1617-5468
Datum: 2013
Sprache: en (en)
Typ: Text/Conference Paper
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