论文标题
基于面部的监视列表筛选的风险评估
Risk Assessment in the Face-based Watchlist Screening in e-Border
论文作者
论文摘要
本文涉及面部基准技术作为部署在电子体型中的自动边界控制机的组成部分。监视列表技术的关键任务是减轻错误识别和模拟的影响。为了解决这个问题,我们开发了一种基于成本的新型旅行者风险评估模型,并通过使用大规模面部数据库进行密集的实验证明了其效率。这项研究的结果适用于用于监视列表技术的任何生物识别方式。
This paper concerns with facial-based watchlist technology as a component of automated border control machines deployed in e-borders. The key task of the watchlist technology is to mitigate effects of mis-identification and impersonation. To address this problem, we developed a novel cost-based model of traveler risk assessment and proved its efficiency via intensive experiments using large-scale facial databases. The results of this study are applicable to any biometric modality to be used in watchlist technology.