论文标题

使用多参数成本和相对熵的监视清单风险评估

Watchlist Risk Assessment using Multiparametric Cost and Relative Entropy

论文作者

Lai, K., Yanushkevich, S. N.

论文摘要

本文介绍了面部生物特征识别列表技术,其中风险探测器是早期发现威胁的强制性机制,以及避免对无辜旅行者的犯罪。我们提出了作为风险探测器的多参数成本评估和相对熵措施。我们在各种监视清单筛选方案和约束下实验证明了错误识别和模仿的影响。本文的关键贡献是针对生物特征识别列表和支持基础架构的设计和分析的新技术,并衡量了对电子订单绩效的冒充影响。

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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