PhD Defense - Amanda Sgroi
|Start:||3/25/2015 at 1:00PM|
|End:||3/25/2015 at 4:00PM|
|Location:||100 Stinson Remick|
March 25, 2015 1:00 pm 100 Stinson Remick
Advisor: Dr. Patrick Flynn
Co-Advisor: Dr. Kevin Bowyer
Dr. Sidney D'Mello Dr. Jonathon Phillips Dr. Oleg Komogortsev
Faculty and Students are welcome to attend the presentation portion of her defense.
Snacks and refreshments will be served
"Exploration of the Impostor Score Distribution for Face-Based Biometrics"
Face-based biometrics has become popular in many security applications due to the compromises made between reliability, social acceptance, and privacy. Many high performance face biometric systems now exist which rely on machine learnable features. However, when errors occur these features are hard to decipher in order to adjust for these errors. Through this work a method is presented which identifies nonmatching errors - potential false accepts. Covariates, or metadata values, are then examined with respect to how they interact with score outcomes and influence the likelihood of a false accept occurring. Last, an attempt is made to identify a connection between geometric and color features and score outcomes. Overall, this dissertation shows that the impostor distribution and nonmatching image pairs hold a plethora of information that can be used to improve biometric algorithms and systems.