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Department of Computer Science Colloquium
2013 Series

Recent Advances in Correlation Filters for Biometrics

Prof. B.V.K. Vijaya Kumar
Dept. of Electrical and Computer Engineering
Carnegie Mellon University

Date: August 19, 2013 (Monday)
Time: 2:30 - 3:30 pm
Venue: RRS905, Sir Run Run Shaw Building, Ho Sin Hang Campus

Biometrics-based human authentication systems are becoming increasingly important for many applications such as access control and surveillance. Many biometric modalities produce images and verification (1:1 matching) and identification (1:N matching) involves matching these images. Most conventional biometric image matching methods are based on first segmenting the regions of interest, then computing the features in the image domain and applying classifiers to discriminate among the various subjects. However, there are advantages to using signal processing methods that work in the spatial frequency domain. Correlation filters are one class of frequency domain-based methods that offer benefits such as shift-invariance (i.e., the object of interest can be off-center), no need for segmentation, graceful degradation and closed-form solutions. This talk will provide an overview of recent correlation filter design developments and their applications in biometrics including matching patterns, image alignment, creating cancellable biometrics and biometric encryption.

Prof. B.V.K. Vijaya Kumar received his Ph.D. in Electrical Engineering from Carnegie Mellon University (CMU), Pittsburgh and since 1982, he has been a faculty member in the Electrical and Computer Engineering (ECE) Department at CMU where he is now a Professor and the Associate Dean for the College of Engineering. He also served as the Interim Dean of Carnegie Mellon University’s College of Engineering from August to December of 2012. Professor Kumar's research interests include automatic target recognition and biometrics and Coding and Signal Processing for Data Storage Systems and for Digital Communications. He has authored or co-authored over 550 technical papers, nine patents, twenty book chapters and one book entitled Correlation Pattern Recognition. He served as a Topical Editor for Applied Optics and as an Associate Editor of IEEE Trans. Information Forensics and Security. Professor Kumar is a Fellow of IEEE, a Fellow of SPIE, a Fellow of Optical Society of America (OSA) and a Fellow of the International Association of Pattern Recognition (IAPR).

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(For enquiry, please contact Computer Science Department at 3411 2385)
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