Faculty of Information Technology, BUT

Publication Details

Biometric-Enabled Watchlists Technology

LAI Kenneth K., KANICH Ondřej, DVOŘÁK Michal, DRAHANSKÝ Martin, YANUSHKEVICH Svetlana and SHMERKO Vlad. P. Biometric-Enabled Watchlists Technology. IET Biometrics, vol. 7, no. 2, pp. 163-172. ISSN 2047-4938.
Czech title
Technologie kontrolních seznamů podporujících biometrické údaje
Type
journal article
Language
english
Authors
Lai Kenneth K. (UCalgary)
Kanich Ondřej, Ing., Ph.D. (DITS FIT BUT)
Dvořák Michal, Ing. (DITS FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
Yanushkevich Svetlana, Dr. (UCalgary)
Shmerko Vlad. P. (UCalgary)
Keywords


biometrics (access control), risk management, face recognition, fingerprint identification, Doddington metric, e-borders, risk assessment technique, risk control, risk categorisation, systematic approach, watchlist landscape modelling, fingerprint databases, entry-exit technologies, biometric-enabled watchlists technology, high-quality biometric traits, large-scale facial databases
Abstract
For Entry-Exit technologies, such as US VISIT and Smart Borders (e-borders), a watchlist normally contains high-quality biometric traits and is checked only against visitors. The situation can change drastically if low-quality images are added into the watchlist. Motivated by this fact, we introduce a systematic approach to assessing the risk of travellers using a biometric-enabled watchlist where some latency of the biometric traits is allowed. The main results presented herein include: (1) a taxonomical view of the watchlist technology, and (2) a novel risk assessment technique. For modelling the watchlist landscape, we propose a risk categorisation using the Doddington metric. We evaluate via experimental study on large-scale facial and fingerprint databases, the risks of impersonation and mis-identification in various screening scenarios. Other contributions include a study of approaches to designing a biometric-enabled watchlist for e-borders: a) risk control and b) improving performance of the e-border via integrating the interview supporting machines.
Published
2017
Pages
163-172
Journal
IET Biometrics, vol. 7, no. 2, ISSN 2047-4938
Publisher
The Institution of Engineering and Technology
DOI
BibTeX
@ARTICLE{FITPUB11362,
   author = "K. Kenneth Lai and Ond\v{r}ej Kanich and Michal Dvo\v{r}\'{a}k and Martin Drahansk\'{y} and Svetlana Yanushkevich and P. Vlad. Shmerko",
   title = "Biometric-Enabled Watchlists Technology",
   pages = "163--172",
   journal = "IET Biometrics",
   volume = 7,
   number = 2,
   year = 2017,
   ISSN = "2047-4938",
   doi = "10.1049/iet-bmt.2017.0036",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11362"
}
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