Risk Assessment in the Face-based Watchlist Screening in e-Border

TL;DR

This paper introduces a novel cost-based risk assessment model for face-based watchlist screening in e-border systems, demonstrating its effectiveness through large-scale experiments and highlighting its applicability to various biometric modalities.

Contribution

A new cost-based model for traveler risk assessment in facial watchlist screening, validated with extensive experiments and adaptable to different biometric systems.

Findings

Effective risk assessment demonstrated on large-scale facial databases.

Model reduces mis-identification and impersonation risks.

Applicable to multiple biometric modalities.

Abstract

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.