This course covers biometric recognition and identification methods and systems. The course content includes the historical evolution of biometric recognition, the fundamental principles of biometric recognition systems and basic face and fingerprint recognition algorithms.

Course Objectives

The fundamental aim of this course is for students to gain basic knowledge on biometric recognition methods and systems. By teaching basic methods for two example biometric modes (face and fingerprint) and making them into project assignments, the given theoretical knowledge is aimed to be applied in practice. The course’s target audience is beginning graduate students.

Recommended or Required Reading

Introduction to Biometrics, Anil K. Jain, Arun A. Ross, Karthik Nandakumar, Springer Science & Business Media, 2011.

Course Learning Outcomes:

1. Comment about historical evolution of biometric recognition
2. List the common working principles of biometric systems
3. Apply the fundamental principles to solve identification problems
4. Develop basic face recognition systems using simple face recognition methods
5. Develop basic fingerprint recognition systems using simple fingerprint recognition methods

Grading

Midterm: 30%
Homework: 30%
Class attendance: 5%
Final: 35%