A Framework for Biometric and Interaction Performance Assessment of Automated Border Control Processes
- Submitting institution
-
The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 6362
- Type
- D - Journal article
- DOI
-
10.1109/THMS.2016.2611822
- Title of journal
- IEEE Transactions on Human-Machine Systems
- Article number
- -
- First page
- 983
- Volume
- 47
- Issue
- 6
- ISSN
- 2168-2291
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- URL
-
https://kar.kent.ac.uk/58404/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work has underpinned the development and implementation of a structured analysis of the usability of biometric systems within automatic border control (ABC) gates. These analysis and methods have been implemented by developers and end-users for establishing the performance and bottlenecks of ABC systems. This work was used within the EU Mobile Pass project for successful implementation at a series of pilot border crossings to ease traveller flow and throughput, resulting in enhanced interaction speed and verification rates. The research has led to a follow-on project between Kent and Purdue and discussions with the US Department of Homeland Security.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -