CSE 402 Biometrics and Pattern Recognition (Fall 2025)
Undergraduate course, Michigan State University, CSE Department, 2025
Responsibility: Teaching Assistant
Course Website
Course Description
Biometrics refers to the science of recognizing humans by utilizing the physical (e.g., fingerprint, face, iris) or behavioral (e.g., gait, signature) traits of an individual. This course will discuss several of these traits and the automated techniques used for feature extraction and matching. The focus will be on automated face, fingerprint and iris recognition. The error metrics used to evaluate the performance of a biometric system will be discussed. Topics related to multimodal biometrics, protecting biometric templates, and biometric data privacy will also be presented. The programming projects will be geared toward implementing basic feature extraction and matching algorithms.
Course Objective
To equip students with a good knowledge of: (a) the design and working of a generic biometric system; (b) the features used to represent and match individual biometric traits; (c) the performance metrics used to evaluate a biometric system; (d) the socio-legal implications of biometrics. The concepts will be explained from a pattern recognition and image processing perspective.