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Proceedings Paper

Multimodal object authentication with random projections: a worst-case approach
Author(s): Oleksiy Koval; Sviatoslav Voloshynovskiy
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Paper Abstract

In this paper, we consider a forensic multimodal authentication framework based on binary hypothesis testing in random projections domain. We formulate a generic authentication problem taking into account several possible counterfeiting strategies. The authentication performance analysis is accomplished in the scope of Neyman- Pearson framework as well as for an average probability of error for both direct and random projections domains. Worst-case attack/acquisition channel leading to the worst performance loss in terms of Bhattacharyya distance reduction is presented. The obtained theoretical findings are also confirmed by results of computer simulation.

Paper Details

Date Published: 28 January 2010
PDF: 11 pages
Proc. SPIE 7541, Media Forensics and Security II, 75410D (28 January 2010); doi: 10.1117/12.838825
Show Author Affiliations
Oleksiy Koval, Univ. of Geneva (Switzerland)
Sviatoslav Voloshynovskiy, Univ. of Geneva (Switzerland)


Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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