Title:
Biometrics: The Future Beckons
Abstract:
Biometrics is the science of establishing human identity based on the physical, behavioral and molecular attributes of an individual. Biometrics is a fascinating pattern recognition problem that involves determining the similarity and/or dissimilarity between a pair of biometric instances (for example, two fingerprint images) in order to establish identity. Biometric systems are based on attributes such as fingerprints, face, iris, gait, and voice, and are being used in diverse applications such as identity management, access control, criminal investigations and watch-list surveillance. In this talk, we will discuss some of our recent research on the topic of ocular biometrics; biometric indexing and encoding; recognition in unconstrained environments; soft biometric analysis; and biometric security and privacy. Our goal is to convey some of the excitement in conducting biometrics research while discussing its broader impact and societal benefits. Finally, we will indicate the interdisciplinary potential of biometrics by enumerating some of the critical problems being addressed by researchers in this field.
Bio:
Arun Ross is a Robert C. Byrd Associate Professor in the Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, and the Assistant Director of the NSF Center for Identification Technology Research (CITeR). He received the B.E. (Hons.) degree in Computer Science from the Birla Institute of Technology and Science, Pilani, India, in 1996, and the M.S. and Ph.D. degrees in Computer Science and Engineering from Michigan State University, East Lansing, in 1999 and 2003,respectively. Between 1996 and 1997, he was with the Design and Development Group of Tata Elxsi (India) Ltd., Bangalore, India. He also spent three summers (2000 - 2002) with the Imaging and Visualization Group of Siemens Corporate Research, Inc., Princeton, NJ, working on fingerprint recognition algorithms. His research interests include pattern recognition, classifier fusion, computer vision, and biometrics. He is actively involved in the development of biometrics and pattern recognition curricula at West Virginia University. He received the West Virginia University Foundation Award for Outstanding Teaching in 2011. He is the coauthor of “Introduction to Biometrics” and “Handbook of Multibiometrics”, and the co-editor of “Handbook of Biometrics”. Arun is a recipient of NSF's CAREER Award and was designated a Kavli Frontier Fellow by the National Academy of Sciences in 2006. He is an Associate Editor of the IEEE Transactions on Image Processing and the IEEE Transactions on Information Forensics and Security.
Biometrics: The Future Beckons
Biometrics is the science of establishing human identity based on the physical, behavioral and molecular attributes of an individual. Biometrics is a fascinating pattern recognition problem that involves determining the similarity and/or dissimilarity between a pair of biometric instances (for example, two fingerprint images) in order to establish identity. Biometric systems are based on attributes such as fingerprints, face, iris, gait, and voice, and are being used in diverse applications such as identity management, access control, criminal investigations and watch-list surveillance. In this talk, we will discuss some of our recent research on the topic of ocular biometrics; biometric indexing and encoding; recognition in unconstrained environments; soft biometric analysis; and biometric security and privacy. Our goal is to convey some of the excitement in conducting biometrics research while discussing its broader impact and societal benefits. Finally, we will indicate the interdisciplinary potential of biometrics by enumerating some of the critical problems being addressed by researchers in this field.
Bio:
Arun Ross is a Robert C. Byrd Associate Professor in the Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, and the Assistant Director of the NSF Center for Identification Technology Research (CITeR). He received the B.E. (Hons.) degree in Computer Science from the Birla Institute of Technology and Science, Pilani, India, in 1996, and the M.S. and Ph.D. degrees in Computer Science and Engineering from Michigan State University, East Lansing, in 1999 and 2003,respectively. Between 1996 and 1997, he was with the Design and Development Group of Tata Elxsi (India) Ltd., Bangalore, India. He also spent three summers (2000 - 2002) with the Imaging and Visualization Group of Siemens Corporate Research, Inc., Princeton, NJ, working on fingerprint recognition algorithms. His research interests include pattern recognition, classifier fusion, computer vision, and biometrics. He is actively involved in the development of biometrics and pattern recognition curricula at West Virginia University. He received the West Virginia University Foundation Award for Outstanding Teaching in 2011. He is the coauthor of “Introduction to Biometrics” and “Handbook of Multibiometrics”, and the co-editor of “Handbook of Biometrics”. Arun is a recipient of NSF's CAREER Award and was designated a Kavli Frontier Fellow by the National Academy of Sciences in 2006. He is an Associate Editor of the IEEE Transactions on Image Processing and the IEEE Transactions on Information Forensics and Security.