Title: BIOMETRICS: Techniques for Personal Identification
Date: Wednesday, 1 August 2001
Time: 4:00-5:00pm
Venue: Lecture Theater G, Phase II (via lift nos. 25/26), HKUST
Abstract:
Associating an identity with an individual is called personal identification.
In today's complex, geographically mobile, increasingly inter-connected
information society, accurate personal identification is becoming very
important. Here are a few mind boggling numbers: about $1 billion in
welfare benefits in the United States are annually claimed by "double
dipping" welfare recipients with fraudulent multiple identities; about
$1 billion worth of cellular telephone calls are made by the cellular
bandwidth thieves--many of which are made from stolen PINs and/or cellular
phones. The traditional methods of authentication based on a person's
possession (e.g., a key) or a person's knowledge of a piece of
information (e.g., a password) are not extremely reliable. A biometric
system utilizes a person's physiological or behavioral characteristics
for establishing his identity. An increasing number of commercial
biometric systems based on fingerprints, iris scan, facial images,
hand geometry, speech, and signature are becoming available. In this
talk, we will emphasize the important applications of biometrics,
highlight the challenges in designing a biometric system and describe
a prototype fingerprint-based identification system which we have developed.
Biography:
Anil K. Jain is a University Distinguished Professor in the Department of
Computer Science and Engineering at Michigan State University. He served
as the department Chair between 1995-1999. His research interests include
statistical pattern recognition, Markov random fields, texture analysis,
neural networks, document image analysis, fingerprint matching and 3D
object recognition. He received the best paper awards in 1987 and 1991
and certificates for outstanding contributions in 1976, 1979, 1992, and
1997 from the Pattern Recognition Society. He also received the 1996 IEEE
Trans. Neural Networks Outstanding Paper Award. He was the Editor-in-Chief
of the IEEE Trans. on Pattern Analysis and Machine Intelligence (1990-94).
He is the co-author of Algorithms for Clustering Data, Prentice-Hall, 1988,
has edited the book Real-Time Object Measurement and Classification,
Springer-Verlag, 1988, and co-edited the books, Analysis and Interpretation
of Range Images, Springer-Verlag, 1989, Markov Random Fields, Academic
Press, 1992, Artificial Neural Networks and Pattern Recognition, Elsevier,
1993, 3D Object Recognition, Elsevier, 1993, and BIOMETRICS: Personal
Identification in Networked Society, Kluwer in 1999. He is a Fellow of
the IEEE and IAPR. He received a Fullbright research award in 1998 and
was named a Guggenheim Fellow in 2001.