ECE Seminar: Kevin W. Bowyer

Iris Matching and De-Duplication of Voter Registration Lists
Thursday, Feb. 22, 11:45 a.m.
Larsen 310

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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 multiple identities is referred to as “de-duplicating” the voting register. This talk will present results of a trial de-duplication project 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 for de-duplicating the voter registration list of a country this size, and some “special case” example images.


Kevin Bowyer is the Schubmehl-Prein 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.