CBP Biometric Performance Evaluation and Testing Flashcards
6 cards from real CBP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 CBP Biometric Performance Evaluation and Testing flashcards as text
What is the primary purpose of a 'scenario evaluation' in biometric testing?
Answer: To evaluate a complete biometric system in conditions that simulate a specific target application
A scenario evaluation tests a complete biometric system under conditions that closely simulate the intended real-world deployment scenario, including environmental factors.
Which statistical concept describes the degradation in biometric matching accuracy over time due to changes in a person's biometric trait?
Answer: Template aging
Template aging refers to the gradual degradation in biometric matching performance caused by changes in a person's biometric characteristics over time (e.g., aging face, scarred fingerprints).
In a 1:N identification system, what performance metric replaces the simple FMR/FNMR used in 1:1 verification?
Answer: FPIR and FNIR
In 1:N identification, FPIR (False Positive Identification Rate) and FNIR (False Negative Identification Rate) replace FMR and FNMR to account for searching across a large enrolled database.
What is 'rank-1 identification rate' in a biometric identification system?
Answer: The probability that the top candidate returned by the system is the correct match
Rank-1 identification rate is the probability that the correct identity is returned as the top (first) candidate in a 1:N biometric search.
What does the term 'biometric menagerie' (wolves, lambs, goats, and sheep) describe?
Answer: The variation in how different individuals' biometrics perform in a system
The biometric menagerie describes four user categories: sheep (easy to authenticate), goats (hard to authenticate/high FNMR), lambs (easily impostor-matched/high FMR), and wolves (skilled impostors).
According to ISO/IEC 19795, what minimum size should a test database have to produce statistically reliable biometric performance estimates?
Answer: Sufficient size so that confidence intervals are acceptably narrow for the metric being reported
ISO/IEC 19795 specifies that test databases should be large enough to produce confidence intervals narrow enough for the intended use, rather than mandating a fixed number.
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