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The Application of the Human-Biometric Sensor Interaction Method to Automated Border Control Systems

Robertson, Joshua (2017) The Application of the Human-Biometric Sensor Interaction Method to Automated Border Control Systems. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:66822)

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Abstract

Biometrics components are used in many different systems and technologies to verify that the user is whom they say they are. In Automated Border Control systems, biometrics components used in conjunction with a traveller's documents to make sure the user is whom they say they are so that they can cross into a countries borders. The systems are expected to verify the identity with a higher degree than officers who manually check travellers.

While the system does bring its benefits through increased speed and higher security, there are drawbacks. One of the main issues with the systems is a lack of standardisation across implementations. Passing through an automated process at Heathrow may be different to Hong Kong. The infrastructure, information, environment and guidance given during the transaction will all greatly differ for the user. Furthermore, the individual components and subsequent processing will be evaluated using a different methodology too.

This thesis reports on the contrasts between implementations, looking at solutions which utilise different biometric modalities and travel documents. Several models are devised to establish a process map which can be applied to all systems. Investigating further, a framework is described for a novel assessment method to evaluate the performance of a system. An RGB-D sensor is implemented, to track and locate the user within an interactive environment. By doing so, the user's interaction is assessed in real-time. Studies then report on the effectiveness of the solution within a replicated border control scenario. Several relationships are studied to improve the technologies used within the scenario. Successful implementation of the automated assessment method may improve the user's experience with systems, improving information and guidance, increasing the likelihood of successful interaction while maintaining a high level of security and quicker processing times.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Guest, Richard
Uncontrolled keywords: Biometrics, Usability, User Interaction, Performance Assessment, HBSI, RGB-D, Kinect
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 23 Apr 2018 15:10 UTC
Last Modified: 16 Feb 2021 13:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/66822 (The current URI for this page, for reference purposes)
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