This paper concerns with facial-based watchlist technology as a component of automated border control machines deployed in e-borders. The key task of the watchlist technology is to mitigate effects of mis-identification and impersonation. To address this problem, we developed a novel cost-based model of traveler risk assessment and proved its efficiency via intensive experiments using large-scale facial databases. The results of this study are applicable to any biometric modality to be used in watchlist technology.
@article{arxiv.2007.11323,
title = {Risk Assessment in the Face-based Watchlist Screening in e-Border},
author = {Kenneth Lai and Svetlana N. Yanushkevich and Vlad Shmerko},
journal= {arXiv preprint arXiv:2007.11323},
year = {2020}
}