Facial recognition application for border control
Facial recognition application for border control
复制标题
人脸识别在边境管制中的应用
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Carles Fernández Tena
中科院分区：
文献类型：
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作者：
Laura Rodriguez Carlos;Isabelle Hupont Torres;Carles Fernández Tena
本文概述了边境管制程序，以及采用不同的生物识别技术如何有助于改进边境管制程序。特别是，面部识别是最新的生物识别技术之一，已被添加到该技术列表中。本文介绍了一种用于协助边防人员在过境过程中验证旅行证件保持器持有人身份的人脸匹配工具（FMT）。该系统使用高级和高性能的深度学习模型构建。现有的边境控制解决方案，如自动边境检查门（ABC门），由于使用面部识别作为身份验证的主要选项，因此成为可能。这些解决方案意味着减少了旅行者在地球仪的机场穿越边境所花费的排队时间。FMT模块与iBorderCtrl系统的其他部分一起减少了等待时间，同时在陆地边界提供了不受约束的高面部识别性能。
This paper provides an overview of border control processes and how the inclusion of different biometric technologies contributes to its improvement. In particular, facial recognition is one of the latest biometric technology to have been added to this list of technologies. The Face Matching Tool (FMT), a system defined to assist border guards in the process of validating the identity of a travel document holder during the crossing border process, is presented in this paper. The system is built using advanced and high-performance deep learning models. Existing solutions for border control, such as the Automated Border Check gates (ABC gates), are possible thanks to the use of facial recognition as the main option for identity validation. These solutions imply a decrease in the queue time that a traveler expends crossing the border at airports around the globe. The FMT module, together with the rest of the iBorderCtrl system, reduces this waiting time while providing unconstrained and high facial recognition performances at the land borders.