The False Rejection Rate (FRR) is a value that describes the denial of access to a system, although access authorization is present. This value is of interest in biometric systems, as they often interpret biometric data
incorrectly. This is the case where the biometric data of a person whose data is available as reference data is not recognized even though it is the correct person.
The FRR value is calculated from the ratio of the number of false rejections (NFR) to the number of legitimate attempts (NEA), expressed as a percentage. A high FRR value indicates that the biometric identification is good. This contrasts with the False Acceptance Rate (FAR), which has a low value when identification is high. While the fahler rate of False Rejection Rate (FRR) falls as the percentage of rejection and acceptance rate increases, the False Acceptance Rate (FAR) increases. For the Equal Error Rate
(ERR), both error rates are equal: FRR = FAR