GEORGE MASON UNIVERSITY
SPRING-2008
CS778-Biometrics (3)
Class Information
001
13222 T (“Tuesday”) 7:20 p.m. - 10:00 p.m. STI 120
Office Hours
Tuesday
6:15 – 7:00 PM or by appointment (SITE II - Rm. 461)
Textbook
1. A. K. Jain, P. Flynn, and A. A. Ross
(Eds.), Handbook of Biometrics, Springer, 2008.
2. H. Wechsler, Reliable Face Recognition Methods, Springer, 2007.
References
1. R. M. Bolle, J. H.
Connell, S. Pankanti, N. K. Ratha,
and A. W. Senior, Guide to Biometrics, Springer
2004.
Course
Description
Basic principles and
methods for automatic authentication of
individuals. Biometric modalities
include among others face, fingerprints, gait, iris, and speech. Additional
topics cover multimodal biometric and data fusion, performance evaluation, and
security / integrity and privacy / anonymity.
Course provides the required background in image/ signal processing and computer vision,
machine learning and pattern recognition, and neurosciences.
Applications include identification, verification, and surveillance. Term
project required.
Motivation
Biometrics, the
science of recovering or verifying a person's identity, measures the physical
or behavioral characteristics that make people unique—including fingerprints,
an eye's retina or iris, face, hand geometry, signature and voice—and uses
those measurements for personal authentication. Biometrics is related to the
science of forensics, which uses and interprets physical evidence for legal
purposes. The importance of biometrics
lies in the fact that traditional means of identification and verification are
often unreliable or cumbersome: Passwords are difficult to remember and easy to
steal. Keys, driver's licenses, and passports can be lost or forged. The human
body and its behavior, on the other hand, can't be forgotten, stolen, forged,
or misplaced. Practical uses for biometrics are wide spread and include
maintaining the security for both physical and cyber space. In particular,
biometrics aids in controlling access to an office, computer network or an ATM,
smart cards, wireless communication; confirming the identity of buyers and
sellers to make electronic commerce safe and reliable; confirming student
identity for distant learning; and safeguarding electronic records related to health
care services.
Grading
Homework à 10 %
Midterm à Thursday, March 18 à 20 %
[spring break ~ week of March
10]
(Team) Term Project à April 22 and April 29 à 40 %
Final à Thursday, May 13 à 30 %
Follow –
up
Graduate Certificate in Biometrics
http://cs.gmu.edu/programs/masters/MSCS-brochure.html
CS 775 / IT 844 – Advanced Pattern
Recognition – 2008 - 2009
Doctoral Dissertation