False Rejection Rate (FRR)

False Rejection Rate (FRR) is a metric used to evaluate the performance of biometric security systems, like fingerprint or facial recognition. It measures how often the system mistakenly rejects an authorized person trying to gain access. A lower FRR indicates the system is more accurate in recognizing legitimate users, reducing inconvenience. Conversely, a high FRR means authorized users might frequently be denied access, which can be frustrating. Balancing FRR with False Acceptance Rate (FAR) is essential for optimizing both security and usability in biometric systems.