An overview of topics related to computational forensics.
Discussion of HW1. Commercial uses of face recognition technologies. Simple ways of circumventing face recognition technology. Kinds of face recognition, and performance parameters.
Sources of variability. Human face recognition and its properties. Feature-based face recognition. Eigenfaces. Face image databases for training and evaluation.
Errors in biometric systems. ROC curves. Risk and loss. Training and test sets. Overtraining. Design example: face recognition system.
Fingerprint recognition systems: sensors, preprocessing, matching algorithms.