Risk assessment in the face-based watchlist screening in e-borders

摘要

This paper concerns with facial-based watch list technology as a component of automated border control machines deployed in e-borders. The key task of the watch list 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 watch list technology.