Topics in Computer Science
This course is used to introduce emerging topics in computer science that do not yet have a regular course number. Content of the course varies.
Outcomes: Understanding of an emerging area of Computer Science.
Biometrics:SimpleAuthentctn-UndesirdSurveilnc
This course is used to introduce emerging topics in computer science that do not yet have a regular course number. Content of the course varies.
Outcomes: Understanding of an emerging area of Computer Science.
Prerequisites: COMP 180 OR 271
Description: How do computers match a person's fingerprints? Do they still use the same techniques proposed in the XIX century? How do computers identify people captured in a video? Do they leverage the depicted faces only, or can they use other traits such as gait or voice? How about iris recognition as portrayed in the movies? Is it really possible? What happens in the case of people who look very similar, such as identical twins? Which traits are more reliable and robust to impersonation or prone to falsification? These are some of the questions we will address in this course, whose main topic is Biometrics. In a nutshell, Biometrics is the study of techniques to identify individuals through their physical, chemical, and behavioral traits, such as fingerprints, face, iris, DNA, voice, gait, etc. Our focus will be on the technical and ethical aspects of computer-aided Biometrics, discussing the issues of going from simple and benign authentication to the more problematic case of surveillance. The course will have an intense hands-on approach, with the collection of samples and implementation of fingerprint, face, and iris recognition. Link with a past syllabus: https://danielmoreira.github.io/teaching/biometrics-spr22/.
Class Details
Class Availability
Combined Section Capacity
Combined Section