calendar /
Ohanian Lecture Series
Biometric Recognition: An Emerging Paradigm for Security
Friday, October 17, 2008
4:00 pm – 5:00 pm
CSE A101
Speaker
Dr. Anil Jain
University Distinguished Professor
Computer Science & Engineering - Michigan State University
Should Alice be allowed to enter the country? Is Bob entitled to access the database? Are we providing our services exclusively to the enrolled users? Is Charlie the real owner of this credit card? Every day, a variety of organizations pose questions such as these about the identity of individuals. Identity theft and security breaches have become far too easy and prevalent; in the United States alone, individuals and businesses have suffered losses to the tune of tens of billion dollars due to identity theft.
An emerging identification technology that is being increasingly adopted is biometric recognition — automatic person recognition based on anatomical and/or behavioral characteristics such as face fingerprint, voice and signature. Biometrics allows us to confirm or establish an individual's identity based on who he is, rather than by what he possesses (e.g., an ID card) or what he remembers (e.g., a password). Biometric systems also introduce an aspect of user convenience; they alleviate the need for a user to remember multiple passwords associated with different applications or carry multiple ID cards. Biometric systems can provide higher security and minimize financial fraud compared to traditional authenticators. However, a practical biometric system must meet stringent accuracy and throughput requirements, satisfy resource constraints, are non-invasive and acceptable to the target population, and demonstrate robustness to potential attacks. This talk will present an overview of biometric recognition, its advantages and limitations, and our current research on latent fingerprint and palmprint matching, tattoo image matching and retrieval, facial aging, fusion and template security.
Anil Jain is a University Distinguished Professor in the Department of Computer Science & Engineering at Michigan State University. His research interests include pattern recognition, computer vision and biometric authentication. He has received Guggenheim, Humboldt and Fulbright awards, IEEE Computer Society's Technical Achievement and Wallace McDowell awards and King-Sun Fu Prize from the International Association of Pattern Recognition. He is a Fellow of ACM and IEEE and served as the Editor-in-Chief of the IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI). He holds six patents in fingerprint matching and is the co-author of following books: Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (2005), Handbook of Fingerprint Recognition (2003) and Algorithms for Clustering Data (1988). He is a member of the Defense Science Board and serves on The National Academies committees on Whither Biometrics and Improvised Explosive Devices.
Contact Information
Pamela Morris
352-392-1212
pmorris@cise.ufl.edu
