Biometric-Enabled Watchlists Technology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126393" target="_blank" >RIV/00216305:26230/17:PU126393 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/318705359_Biometric-Enabled_Watchlists_Technology" target="_blank" >https://www.researchgate.net/publication/318705359_Biometric-Enabled_Watchlists_Technology</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/iet-bmt.2017.0036" target="_blank" >10.1049/iet-bmt.2017.0036</a>
Alternative languages
Result language
angličtina
Original language name
Biometric-Enabled Watchlists Technology
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IET Biometrics
ISSN
2047-4938
e-ISSN
2047-4946
Volume of the periodical
7
Issue of the periodical within the volume
2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
163-172
UT code for WoS article
000426552700008
EID of the result in the Scopus database
2-s2.0-85136332236