Syllabus
Course Objectives / Learning Outcomes
Biometrics refers to the automatic identification of a person based on his/her physiological or behavioral characteristics. With the increased integration of computers and Internet into our everyday lives, to protect sensitive and personal data becomes more important and challenging. This course focuses on the design of various biometric systems based on fingerprints, voice, face, hand geometry, palm print, iris, retina, and other modalities. Multimodal biometric systems that use two or more of the above characteristics are studied. This course also examines biometric system performance and the issues related to the security and privacy aspects of these systems.
Course Outline (Tentative)
- Introduction
- Biometrics Introduction
- Performance Evaluation
- Error Rates
- ROC, DET, CMC Curves
- Fundamental Concepts
- Fingerprint Recognition
- Face Recognition
- Iris Recognition
- Selected Biometrics Topics
- Additional Biometrics Traits (ear, gait, hand)
- Multi-Biometrics
- Security of Biometrics Systems
Course Syllabus
The complete course syllabus is here (PDF)