Which of the following accurately describes the False Rejection Rate (FRR) in biometrics?

The False Rejection Rate (FRR) is an important concept in biometric systems, defined as the measure of how often valid individuals are incorrectly rejected by the system. This metric is crucial for understanding the system's performance, particularly in terms of user convenience and satisfaction; a high FRR can lead to frustration for legitimate users who are repeatedly denied access.

FRR is typically calculated by taking the number of false rejections (instances when a legitimate user is denied access) and dividing it by the total number of times legitimate users attempt to gain access. This provides an understanding of the likelihood that a valid user will face erroneous denial, impacting user experience significantly.

Understanding FRR helps organizations assess the balance between security and accessibility in their biometric systems, ensuring that while security measures are robust, they do not interfere unduly with authorized users' ability to access the system.