Biometric‐enabled watchlists technology

Author:

Lai Kenneth1,Kanich Ondřej2,Dvořák Michal2,Drahanský Martin2,Yanushkevich Svetlana1,Shmerko Vlad1

Affiliation:

1. Biometric Technologies Laboratory, Department of Electrical and Computer EngineeringUniversity of Calgary2500 University Dr NWCalgaryCanada

2. Security Technology Research and Development group, Department of Intelligent Systems, Faculty of Information TechnologyBrno University of TechnologyBožetěchova 1/2BrnoCzech Republic

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference91 articles.

1. ‘Technical study on smart borders’(EU Commission B‐1049 2014) pp.1–443

2. Bigo D. Carrera S. Hayes B. et al. : ‘Justice and home affairs databases and a smart borders system at EU external borders: an evaluation of current and forthcoming proposals’ CEPS Papers Liberty Security 2012 (52) pp.1–97

3. Government Accountability Office: ‘Data mining: early attention to privacy in developing a key DHS program could reduce risks ’ (GAO‐07‐293 2007) pp.1–35

4. ‘Automated Passport Control Service’. Available athttps://www.cbp.gov/travel/us-citizens/apc accessed 22 February 2017

5. Toward development of a face recognition system for watchlist surveillance;Kamgar‐Parsi B.;IEEE Trans. Pattern Anal. Mach. Intell.,2010

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2. On the fly biometric identification system using hand‐geometry;IET Biometrics;2021-02-16

3. Social Behavioral Biometrics in Smart Societies;Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies;2020

4. Cognitive checkpoint: Emerging technologies for biometric-enabled watchlist screening;Computers & Security;2019-08

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