Biometrics do not provide perfect identification

Biometrics do not provide perfect (unique) identification. The matching process is

probabilistic and is subject to statistical error. A mistaken identification or verification

where the wrong person is matched against an enrolled user is termed a FalseAcceptance and the rate at which these occur is the False Acceptance Rate (FAR).

Conversely, an error that occurs where a legitimate user fails to be recognised is

termed a False Rejection and the corresponding rate is the False Rejection Rate(FRR).

These errors are dependent not only on the technology but also on the

application and the environment of use.

Note that FAR and FRR errors are influenced by numerous factors including:

§ Uniqueness of biometric features

§ Capture device

§ Algorithm

§ Environmental interference (lighting, noise etc.)

§ User population (demographics, employment, etc.)

§ User behaviour (attitude, cooperation etc.)

Related posts:

1. Biometrics do not provide absolute identification
2. Biometrics are not random enough
3. Quality of the enrolled biometric
4. Why So Many False Positives on the No-Fly List?
5. Biometrics devices must be accurate
6. Biometrics should only be stored on smart-cards

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