Description:
This is an intermediate level
course on biometrics where the aim is for students to have a good understanding
of the terminology, the state-of-the-art, and understanding the theory and
mathematics behind the approaches in different biometric modalities.
The topics covered will include
the following:
·
Overview of biometrics and design of a biometric
system;
·
Fundamentals of fingerprint, iris, face, signature,
hand geometry, and voice verification and identification technologies; along
with some of the pattern recognition techniques used in biometric systems.
·
Multimodal biometrics; fusion techniques;
·
Template protection and privacy issues in
biometrics;
·
Security analysis of biometric systems;
The course assumes no initial
knowledge of biometrics. Understanding biometric technologies thoroughly will
require a good mathematical background
in probability, image or signal processing.
Intended audience is mainly
graduate/undergraduate students who want to work on biometrics, but other
interested students who have taken one of the prerequisites may also take this
course.
Prereq: CS512
or EE566 or TE407 (taking them at the same time as this course –
co-requisite -is OK)
Other
interested grad. students should email the
instructor.
Matlab or other Toolboxes will
be used for homework assignments.
Book: The
course will consist of lectures (1-1:30 hours a week) + Paper reading and
discussions.
There are several e-books at the information center. You
may use the following to provide a deeper understanding:
Biometrics
personal identification in networked society / edited by Anil K. Jain and
Ruud Bolle and Sharath Pankanti.
Course
Schedule:
Instructor: Berrin
Yanikoglu (berrin@sabanciuniv.edu,
Office
Hours: Walk-in.
Tentative
Grading: Class participation: 10% + Student presentation: 10% + Midterm: 20% + Final project: 30% + Final exam: 30%
Exams will be in-class and test
basic understanding of the material.
·
Introduction to Biometrics – 1 week
o
Main biometric modalities – 8-9 weeks (about
1 week for each modality).
o
Students will be given simple processing parts as
homeworks (Matlab or C/C# etc)
1.
fingerprint
2.
iris
3.
face
4.
signature
5.
handshape/palmprint
6.
gait
7.
voice
·
Multimodal biometrics – 1 week
·
Template protection and privacy issues in
biometrics – 1 week
·
Advances and Open issues – 1 week
·
Last 4 weeks – Individual work on projects
and Project presentations