  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.
