FAR ( False Acceptance Rate ) ->
where an interloper is accepted (Type II error or false match rate [FMR]). FAR is measured as a percentage.
False rejection cause inconvenience to users, but false acceptance can lead to security breaches, and so is usually considered the most important metric.
False Acceptance - There are only two metrics that are used to determine the performance of biometrics: FAR (False Acceptance Rate) & FRR (False Rejection Rate). False Acceptance Rate is a metric for biometric performance that determines the number of instances where unauthorized persons were incorrectly authorized. For this question, a biometric error would mean that someone was authorized when they weren't supposed to be authorized.
False acceptance, also known as a "false positive," occurs when the biometric system incorrectly matches the biometric input of an unauthorized user to the biometric template of an authorized user. In other words, the system incorrectly identifies the unauthorized user as an authorized user and grants them access.
This type of error is a security concern because it allows unauthorized individuals to gain access to the system, potentially compromising sensitive data or resources. Reducing the false acceptance rate is essential for improving the overall security of the biometric system and ensuring that only authorized users are granted access.
False acceptance refers to a biometric system incorrectly accepting the identity of an unauthorized user as a legitimate user. It occurs when the system incorrectly matches the biometric data of an unauthorized individual with that of an authorized user, granting access to someone who should not have it.
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