Bridging the Gap Between Forensics and Biometric-Enabled Watchlists for e-Borders
Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko, Shawn C. Eastwood · IEEE Computational Intelligence Magazine · 2017
A biometric-enabled watchlist (or a database of persons of interest) is commonly accepted by national and international security agencies. In particular, the facetrait has demonstrated promising performance in large-scale open-set tasks in forensics and law enforcement scenarios. However, their application in the security of mass-transit systems, such as e-borders, is very limited. We evaluate the risks of unwanted effects using Doddington's metric and various databases. The key contribution of this paper is a novel technique for traveler risk categorization using a biometric-enabled watchlist and an evidence-accumulation paradigm, as well as its impact on e-border performance.