CAP 4103/CAP 6101
Mobile Biometrics, University of South Florida, Department of Computer Science and Engineering, 1900
Topics include foundations of biometric systems, mobile biometric modalities and features, and adversary attacks.
Course Objectives
The objectives of this course are to develop students’:
- knowledge of biometric foundations.
- understanding of behavioral and physical biometric modalities.
- knowledge of data acquisition techniques on mobile platforms.
- abilities to build and evaluate a biometric system.
- abilities to relate classwork to published literature.
- awareness of spoofing and common anti-spoofing techniques.
- awareness of challenges in commercial systems.
Student Learning Outcomes
Students will demonstrate the ability to:
- define the modules and properties of biometric systems.
- compare biometric modalities.
- collect and preprocess biometric data.
- implement a biometric system.
- identify prominent themes in published literature.
- identify various vulnerabilities in biometric systems.
- communicate practical challenges.
Course Calendar
| Week | Topic |
|---|---|
| 1 | Biometric Foundations |
| 2 | Introduction to Python |
| 3 | Overview of Machine Learning Algorithms |
| 4 | Performance Measures |
| 5 | Fusion & Multimodality |
| 6 | Face Recognition |
| 7 | Local Binary Patterns & Principal Component Analysis |
| 8 | Keystroke and Touch Dynamics & Gait and Movement Recognition |
| 9 | Project Overview and Discussion |
| 10 | Spring Break |
| 11 | Fingerprint Recognition |
| 12 | Soft Biometrics |
| 13 | Bias |
| 14 | Biometric System Attacks |
| 15 | Biometric Applications |
| 16 | Test Free Week and Guest Lectures |
| 17 | Project Presentations |
Graded Items
- Project: 40%
- Essay: 30%
- Homework: 20%
- Participation and Engagement: 10%