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arXiv · 2007.11328

Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy

K. Lai·S. N. Yanushkevich
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Abstract

This paper addresses the facial biometric-enabled watchlist technology in which risk detectors are mandatory mechanisms for early detection of threats, as well as for avoiding offense to innocent travelers. We propose a multiparametric cost assessment and relative entropy measures as risk detectors. We experimentally demonstrate the effects of mis-identification and impersonation under various watchlist screening scenarios and constraints. The key contributions of this paper are the novel techniques for design and analysis of the biometric-enabled watchlist and the supporting infrastructure, as well as measuring the impersonation impact on e-border performance.

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K. Lai, S. N. Yanushkevich. 2020-07-22. Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy. https://doi.org/10.1109/ssci.2017.8285219

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