Current Research Directions in Iris Biometrics

Date(s) - 10/11/2012
4:00 pm - 5:00 pm

Professor Kevin W. Bowyer, IEEE 2012 Biometrics Council Distinguished Lecturer, University of Notre Dame

Sponsored by:
The IEEE Engineering in Medicine & Biology Society (EMBS) Chapter at UF
UF Department of Biomedical Engineering
UF Computer & Information Science & Engineering Department
UF Electrical and Computer Engineering Department
The IEEE Gainesville, Florida Section

Talk Abstract:
Iris biometrics is an important, successful technology for verification of identity. This talk begins with an overview of the technology, and then introduces three original assumptions about the technology that have been proven invalid, opening up significant new research directions involving computer vision and pattern recognition. These three original assumptions / research directions involve the effects of pupil dilation, the effects of contact lenses, and biometric template aging. This talk should be readily understandable to a broad audience; you do not need to be doing research in biometrics.

Speaker Biography:
Kevin W. Bowyer is the Schubmehl-Prein Professor and the Department Chair of the Department of Computer Science and Engineering at the University of Notre Dame. Professor Bowyer has made major contributions in several areas of biometrics research, including face recognition, iris biometrics, multibiometrics and other areas. His research group has been active in support of a variety of government-sponsored biometrics programs, including the Human ID Gait Challenge, the Face Recognition Grand challenge, the Iris Challenge Evaluation, the Face Recognition Vendor Test 2006, and the Multiple Biometric Grand Challenge. He has served as Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence and the IEEE Biometrics Compendium, and as the General Chair of the 2007, 2008 and 2009 IEEE International Conference on Biometrics Theory Applications and Systems, and the 2011 International Joint Conference on Biometrics. He is a Fellow of the IEEE and a Golden Core Member of the IEEE Computer Society.