电子边境基于人脸的观察名单筛查的风险评估

2017 IEEE International Joint Conference on Biometrics (IJCB) Pub Date : 2017-10-01 DOI:10.1109/BTAS.2017.8272677

K. Lai, S. Yanushkevich, V. Shmerko

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引用次数: 0

摘要

本文关注基于面部的监视列表技术作为部署在电子边境的自动边境控制机器的组成部分。监视列表技术的关键任务是减轻错误识别和冒充的影响。为了解决这一问题，我们开发了一种基于成本的旅行者风险评估模型，并通过大规模面部数据库的大量实验证明了该模型的有效性。本研究结果适用于观察名单技术中使用的任何生物识别模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Risk assessment in the face-based watchlist screening in e-borders

This paper concerns with facial-based watch list technology as a component of automated border control machines deployed in e-borders. The key task of the watch list 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 watch list technology.

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2017 IEEE International Joint Conference on Biometrics (IJCB)

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