Lecture 1

2009-10-28

An overview of topics related to computational forensics.

• Slides for Lecture 1
• Homework 1

Lecture 2

2009-11-04

Discussion of HW1.  Commercial uses of face recognition technologies. Simple ways of circumventing face recognition technology.  Kinds of face recognition, and performance parameters.

• Slides for Lecture 2

Lecture 3

2009-11-11

Sources of variability.  Human face recognition and its properties.   Feature-based face recognition.  Eigenfaces.  Face image databases for training and evaluation.

• Slides for Lecture 3
• Homework 2

Readings:

• Zhao et al. 2003
• Cox et al.  1997
• Sirovich and Kirby, 1987
• Turk and Pentland, 1991
• FIA Database Page

Lecture 4

2009-11-18

Errors in biometric systems. ROC curves.  Risk and loss.  Training and test sets.  Overtraining.  Design example: face recognition system.

• Slides for Lecture 4

Readings

• The Det Curve
  

Lecture 5

2009-11-25

Fingerprint recognition systems: sensors, preprocessing, matching algorithms.

• Hand-based Biometrics View

Readings:

• Jain et. al 1999
• Thai 2003 (Bachelor Thesis)
• Jain et. al. 2001