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Detection of false positives by human reviewers depends on the face recognition algorithm and its security configuration
Not provided
face recognitionhuman oversightbiometric systems
2610.33045
Builder Relevance
1h ago70%
Abstract
This study investigates the effectiveness of human reviewers in detecting false positives from face recognition algorithms under varying security configurations.
Reality Card
Core Claim
Human reviewers can reduce algorithmic false positives, but their performance declines at stricter security thresholds.
Method / Result
801 human reviewers were tested across three security configurations using the Difficult Facial Image Comparison Test (DFICT).
Limitations
The study's findings may vary based on the specific algorithms used and the security configurations tested.
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