Wednesday, June 16, 2010

Talk on "Next Generation Biometric Systems" by Anil K. Jain

Next Generation Biometric Systems

Anil K. Jain
Michigan State University

Date: 22 June, 2010
Time: 10.00am-11.15am
Venue: DKG31 Lecture Hall, School of Computer Sciences, USM

Prevailing methods of human identification rely mainly on credentials (identification documents and passwords/PIN). However, these methods are not able to meet the growing demands for stringent security in heterogeneous applications like identity management, international travel, government welfare programs, and access control. As a result, numerous person identification applications are adopting biometric technology that automatically recognizes people based on their anatomical or behavioural characteristics. Unlike credentials, biometric traits (e.g., fingerprint, face, and iris) cannot be lost, stolen, and easily forged; they are also supposed to be persistent and unique. The use of biometrics is not new; for over one hundred years, law enforcement and forensic agencies have successfully utilized fingerprints to apprehend criminals or identify victims. But, as biometric technology permeates our society, it faces new challenges. One such challenge is the need to design identification systems for ultra large scale civilian applications such as the Government of India's planned Unique ID project, which is projected to cover a population of over one billion citizens. The design and suitability of biometrics technology for person identification depends on the application requirements with respect to recognition accuracy, throughput, user acceptance, system security, robustness, and return on investment. Therefore, the next generation biometrics technology must overcome many research challenges such as the ability to deal with poor quality biometric data, interoperability, user privacy, system security, and information fusion. This talk will present our ongoing research work on latent fingerprint matching, models for facial aging, template protection, extraction and matching of soft biometric attributes, biometrics of twins, and matching sketches to the corresponding facial images in support of next generation biometrics systems.

Anil K. Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, and Electrical & Computer Engineering at Michigan State University. He received a B.Tech. from IIT, Kanpur (1969) and Ph.D. from Ohio State University (1973). His research interests include pattern recognition, computer vision and biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta, Scholarpedia, and MIT Technology Review.
He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award (2003), W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE.
Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books: Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (2005), Handbook of Fingerprint Recognition (2003) (received the PSP award from the Association of American Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a highly cited researcher (his h-index is 86). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 91 in the Most Cited Articles in Computer Science (over all times) and his paper "Data Clustering: A Review" (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded.
He was a member of The National Academies committees on Whither Biometrics and Improvised Explosive Devices (IED) and a member of the Defense Science Board (2008-2010).

Pusat Pengajian Sains Komputer, USM
Pusat Pengajian Kejutereraan Elektrik & Elektronik, USM
Pelantar Penyelidikan Teknologi Maklumat & Komunikasi, USM

Participants are encouraged to send an email of confirmation of attendance to:
Mr Jeffiz Ezuer Shafii, email:
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