What is FAR in biometrics?

False Accept Rate (FAR) is the probability that a biometric system incorrectly accepts an unauthorized user. A lower FAR means higher security. Typical enterprise systems target FAR below 0.001% (1 in 100,000).

What is FRR in biometrics?

False Reject Rate (FRR) is the probability that a biometric system incorrectly rejects an authorized user. High FRR causes user frustration. The goal is minimizing FRR while maintaining an acceptable FAR.

What is Equal Error Rate (EER)?

EER is the point where FAR equals FRR on a DET curve. It provides a single metric to compare biometric system accuracy. Lower EER indicates better overall system performance. State-of-the-art systems achieve EER below 0.1%.

How do you choose FAR/FRR thresholds?

Threshold selection depends on your security requirements. High-security applications (banking, government) prioritize low FAR even at higher FRR. Consumer applications balance both for usability. The threshold is adjustable in most biometric systems.

Biometric Accuracy: FAR, FRR, and EER Explained

FAR (False Accept Rate) measures security—impostors incorrectly accepted. FRR (False Reject Rate) measures usability—legitimate users rejected. EER (Equal Error Rate) summarizes overall accuracy.

H33 Performance

FAR: < 0.001%, FRR: < 0.3%, Overall accuracy: 99.7%. High-security applications prioritize low FAR; consumer apps balance both.

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Understanding Biometric Accuracy:
FAR, FRR, and EER Explained

H33 Performance

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H33 Performance

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