Risk Assessment in the Face-based Watchlist Screening in e-Border
This work addresses security risks in automated border control, with potential applicability to other biometric modalities, though it appears incremental as it builds on existing watchlist technology.
The paper tackled the problem of mis-identification and impersonation in facial-based watchlist screening for e-borders by developing a novel cost-based model of traveler risk assessment, proving its efficiency through intensive experiments on large-scale facial databases.
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.