Biometric authentication verifies identity using unique physiological or behavioral traits but is probabilistic rather than absolute, creating trade-offs between false rejections and false acceptances. The Crossover Error Rate (CER) provides a single metric to compare systems while threshold settings determine whether False Rejection Rate (FRR) or False Acceptance Rate (FAR) is prioritized. #Biometrics #CrossoverErrorRate
Keypoints
- Biometric authentication analyzes unique physiological or behavioral traits to verify identity.
- Physiological methods include fingerprints, retina/iris scans, facial structure, and hand geometry.
- Behavioral methods include signature dynamics, keystroke patterns, and voice, and can vary over time.
- Systems trade off False Rejection Rate (FRR) and False Acceptance Rate (FAR) via threshold settings.
- Crossover Error Rate (CER) is used to compare overall accuracy, while privacy, speed, and cost affect adoption.
Read More: https://www.decodedsecurity.com/p/understand-biometric-authentication