Room BA-4287, Bahen Centre for Information Technology, University of Toronto, M5S 2E4

Friday, April 13th at 10:00 a.m., Schubmehl-Prein Professor Kevin W. Bowyer, will be presenting an IEEE Signal Processing Society Distinguished Lecture “Iris Matching and De-Duplication of Voter Registration Lists”. Day & Time: Friday, April 13, 2018 10:00 a.m. ‐ 11:00 a.m. Speaker: Schubmehl-Prein Professor Kevin W. Bowyer Department of Computer Science & Engineering University of Notre Dame, IN, US Location: Room BA-4287, University of Toronto http://map.utoronto.ca/building/080 Contact: Mehrnaz Shokrollahi, Yashodhan Athavale Organizer: IEEE Signal Processing Chapter Toronto Section Abstract: Fingerprint, face and iris are widely used as biometrics to verify a person’s identity. One important application of biometrics is to ensure that each person is enrolled only once on a list of eligible voters. Keeping someone from voting multiple times under different identitiesis referred to as “de-duplicating” the voting register. This talk will present results of a de-duplication trial performed for the country of Somaliland. The talk will cover how iris recognition works, what level of matching accuracy can be expected, what the matching accuracy suggests in terms of expected number of false matches and false non-matches, and some “special case” example images. (You should not need any prior experience with iris recognition tounderstand this talk.) Biography: Kevin Bowyer is the Schubmehl-Prein Family Professor of Computer Science and Engineering at the University of Notre Dame and also serves as Director of International Summer Engineering Programs. Professor Bowyer’s research interests range broadly over computer vision and pattern recognition, including biometrics and data mining. Professor Bowyer received a 2014 Technical Achievement Award from the IEEE Computer Society, with the citation “For pioneering contributions to the science and engineering of biometrics”. Professor Bowyer is a Fellow of the IEEE, “for contributions to algorithms for recognizing objects in images”; a Fellow of the IAPR, “for contributions to computer vision, pattern recognition and biometrics”; and a Golden Core Member of the IEEE Computer Society. Professor Bowyer is serving as General Chair of the 2019 IEEE Winter Conference on Applications of Computer Vision; has served as Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence and as Editor-In-Chief of the IEEE Biometrics Compendium; and is currently serving on the editorial board of IEEE Access. Professor Bowyer’s most recent book is the Handbook of Iris Recognition, edited with Dr. Mark Burge.