Course overview
This course provides a comprehensive introduction to modern biometric authentication systems, focusing on how artificial intelligence and machine learning have transformed physical and behavioral verification. Learners will explore the path from physical sensor capture to digital template matching, security protocols, and system governance.
- Distinguish between physiological and behavioral biometric modalities and their AI-driven analysis pipelines
- Understand sensor integration and environmental calibration challenges for reliable physical data capture
- Analyze how deep learning models perform feature extraction, template matching, and anti-spoofing verification
- Evaluate biometric system performance using standard metrics like FAR, FRR, and EER
- Implement robust security governance, template protection, and privacy compliance frameworks