Machine Learning in Biometric Security

3 credits · Undergraduate Programs

Principles of machine learning in biometric system design. Examine methods of expert decision making in multi-modal systems using rank, score, decision and fuzzy level fusion. Biometric classification using traditional machine learning methods and modern deep learning architectures. Application topics may include image processing, pattern recognition, data mining, medicine, defense and cybersecurity. Prerequisite(s): 3 units from Computer Science 319, 331, or Data Science 311. Antirequisite(s): Credit for Computer Science 556 and 656 will not be allowed.