In biometrics, what is the term used for the rate at which legitimate users are incorrectly rejected?

In biometrics, the term used for the rate at which legitimate users are incorrectly rejected is known as the False Rejection Rate (FRR). This metric measures the frequency with which a biometric system fails to recognize an authorized user, leading them to be denied access.

The FRR is crucial for assessing the usability and effectiveness of a biometric system. A high FRR indicates that legitimate users are often unable to gain access due to misidentification, which can create frustration and reduce the overall user experience. Therefore, minimizing the FRR is essential for a biometric system to function effectively and to maintain user satisfaction.

Understanding the False Rejection Rate is vital in the context of balancing security and usability; systems with a very low FRR might have a higher chance of allowing unauthorized access, while those that are stringent may inadvertently deny access to valid users, affecting the operational flow.