Instructor: Prof. Harry Wechsler http://cs.gmu.edu/~wechsler/
Course Description - Basic principles and
methods for automatic authentication of individuals. Technologies include face
recognition, fingerprints verification, iris recognition, gait analysis, and
speaker verification. Additional topics cover multimodal biometrics, system
design, performance evaluation, and security and privacy concerns. Term project
required.
Prerequisite: CS 580 or permission of the instructor
Time, Day, and Venue: R – Thursday, 7:20 pm -
10:00 pm, Innovation Hall 135
http://registrar.gmu.edu/calendars/2009Fall.html
[first day
of classes, Thursday, September 3]
[no class
on Thursday, November 26,Thanksgiving]
[last day of classes, Thursday, December 10]
Office Hours: Thursday, 6:15 pm – 7:15 pm (ENGR - 4448)
Textbook:
A.K. Jain, P. Flynn, and A.
A. Ross (Eds.), Handbook of Biometrics, Springer 2008.
References
H. Wechsler, Reliable
Face Recognition Methods, Springer 2007.
R.M. Bolle, J. H. Connell,
S. Pankanti, N.K. Ratha, and A. W. Senior, Guide to Biometrics, Springer 2004.
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, gait, signature and
voice—and uses those measurements for personal authentication. Biometrics
is related to 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, or misplaced (but can still be spoofed).
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.
Syllabus:
á
biometric
tasks, protocols, and standards
á
face
recognition (2D and 3D)
á
fingerprint
recognition
á
iris
recognition
á
gait
recognition
á
speaker
verification
á
biometric
database management, performance evaluation, and error analysis
á
identity
management, security, privacy and ethics
á
Mid Term
– R, October 15 – 30 %
á
Term Project
– 40 %
á
Final http://registrar.gmu.edu/calendars/200970_exam.pdf
– Thursday, December 17 – 30 %
Graduate Certificate in Biometrics http://catalog.gmu.edu/preview_program.php?catoid=5&poid=1074&bc=1
You are expected to abide by the GMU honor code. Homework
assignments and exams are individual efforts. Information on the university
honor code can be found at http://academicintegrity.gmu.edu/honorcode/.
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies