Definitions for "False rejection rate"
Keywords:  frr, biometric, neia, neva, nfr
n. in a biometric access control device, the number of correct submissions that can be rejected as incorrect, typically expressed as per cent, e.g. less than 0.001
Also known as FRR. Measures how frequently registered users are rejected by the system. This usually amounts to nothing more than inconvenience, since it requires users to try again. The FRR of BioCert devices is currently about .01% and is usually improved by educating users on correct usage of fingerprint recognition devices, especially in high security environments.
The probability that a biometric system will fail to identify an enrollee, or verify the legitimate claimed identity of an enrollee. The False Rejection Rate may be estimated as follows: FRR = NFR / NEIA or FRR = NFR / NEVA where FRR is the false rejection rate NFR is the number of false rejections NEIA is the number of enrollee identification attempts NEVA is the number of enrollee verification attempts This estimate assumes that the enrollee identification/verification attempts are representative of those for the whole population of end-users. The False Rejection Rate normally excludes Failure to Acquire errors.