FAR / FRR (biometric error rates)

False Acceptance Rate (FAR) and False Rejection Rate (FRR) are key performance metrics used to evaluatebiometric authentication systems.. FAR measures how often an unauthorized person is incorrectly accepted as legitimate, while FRR measures how often a legitimate user is wrongly rejected. Together, they reflect the trade-off between security and usability in biometric systems.For banks, fintechs, healthcare providers, government agencies, and telecom operators, balancing FAR and FRR is critical. A high FAR increases fraud risk, while a high FRR frustrates legitimate users and disrupts operations. Biometric technologies such as facial recognition, fingerprint scanning, and voice authentication must be fine-tuned to achieve an optimal balance, often represented by the Equal Error Rate (EER) where FAR and FRR intersect. Monitoring these metrics ensures biometric systems remain secure, accurate, and user-friendly while complying with regulatory and data protection requirements.