Feasibility Study of a New Security Verification Process Based on Face Recognition Technology at Airport

Author:

Zhu Taotao,Wang Lijun

Abstract

Abstract In order to optimize the mode of manual security identity verification at security checkpoints in the domestic airports in China, this paper proposes a new security identity verification process based on face recognition technology. This paper also presents the carried out practical tests on the feasibility and effectiveness of the proposed process. The new process includes two important steps: self-service centralized verification and automatic face recheck of passengers. The test results show that the process is effective and cost efficient. The technology significantly reduces the rate of human error, dramatically relieves the workload of the security staff and shorten the passenger’s time spending at identity check in the airport.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference11 articles.

1. Automated border control e-gates and facial recognition systems [J];Jose;Computers & Security,2016

2. The application of face recognition in airports [J];Gohringer;Biometric Technology Today,2012

3. Deep Learning [J];Lecun;Nature,2015

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