CSC 475/592 Biometrics
Fall 2010
Instructor
Dr. Karl Ricanek,
Jr.
This instructor is
available by email at ricanekk@uncw.edu,
by telephone (962-4261), and during office hours (CI 2042). Office
hours are posted on the instructor’s home page and located on the door to his
office. In addition, students can arrange to meet with the professor
outside of normal office hours by contacting him via email or phone or schedule
using Outlook.
Learning Strategies
You are expected to
take an active role in your learning in this course. This includes regular
attendance, in class participation and discourse, reading the textbook and
prescribed articles and handouts, and completing all course requirements. You
are encouraged to continue discourse outside of the class with student peers
and the instructor.
Student Resources
- A UNCW email account. Course correspondence will be sent to
official UNCW email address.
Course
Prerequisites: Statistics
215, Discrete Structures and a high-level programming course, i.e. Java, C-,
C++, Python, etc. Consideration
can and will be made for special circumstances, e.g. students who may not have
the prerequisites.
Corequisite: N/A.
Textbook: To be announced in class.
Reference Books
•
N. K. Ratha and V. Govindaraju,
Advances in Biometrics: Sensors, Algorithms and Systems, Springer, 2008
•
D. Maltoni, D. Maio, A. K. Jain, and
S. Prabhakar, Handbook of Fingerprint Recognition,
Springer Verlag, 2003.
•
A. K. Jain, R. Bolle, S. Pankanti (Eds.),
BIOMETRICS: Personal Identification in Networked Society, Kluwer
Academic Publishers, 1999.
•
J. Wayman, A.K. Jain, D. Maltoni,
and D. Maio (Eds.), Biometric Systems: Technology,
Design and Performance Evaluation, Springer, 2004.
•
In addition, a
number of journals, including Pattern Recognition, Pattern Recognition Letters,
IEEE Trans. Pattern Analysis & Machine Intelligence (PAMI), IEEE Trans.
Image Processing, IEEE Trans. Speech and Audio Processing and IEEE Security
& Privacy Magazine routinely publish papers on biometrics.
Introduction: Automatic and
reliable identification of individuals for issuing official documents (e.g.,
passport and visa) and providing access to secure facilities (e.g., military
base) and proprietary information (e.g., corporate websites) has become an
essential part of our modern networked society. Biometric recognition systems
utilize the physiological or behavioral characteristics of an individual for
identification. By using biometrics, it is possible to establish an identity
based on "who you are", rather than by "what you possess"
(e.g., an ID card) or "what you remember" (e.g., a password). The
events of 9/11 have generated huge interest in the design, deployment and
evaluation of biometric systems. In this course we will study the design of
various biometric systems based on fingerprints, voice, face, hand geometry, palmprint, iris, retina, and other modalities. Multimodal
biometric systems that use two or more of the above characteristics will be
discussed. Biometric system performance and issues related to the security and
privacy aspects of these systems will also be addressed.
Participation: Regular class attendance is
required. Student will not be allowed to makeup assignments, exams, or
projects.
Grading
Grading: Class
Participation: 05%
Assignments: 25%
Case
Study: 20%
Project: 30%
Mid-Term: 20%
The cumulative score will be
mapped to the course grade as follows: 90% or higher: 4.0; 85% to 90%: 3.5; 80%
to 85%: 3.0 and so on.
The midterm exam will test
the understanding of basic biometric system concepts, such as false accept rate
(FAR), fusion rules, template protection, fingerprint features, etc.
Case Study
The
students will work in teams of two on a particular deployment of biometric
systems. Some suggested applications are:
•
Biometrics in Transportation (Airports,
Railroads, etc)
a.
http://www.biometricscatalog.org/asbwg/Files/Evaluating_Technology_Program_Plan.pdf
b.
http://www.argus-solutions.com/pdfs/aviation_study.pdf
c.
http://www.oki.com/en/otr/199/downloads/otr-199-R19-2.pdf
•
Biometrics in Commercial Applications
(Grocery Stores, Hotels, etc)
a.
http://www.kioskbusiness.com/JanFeb02/articles/dept3.html
b.
http://asmallvictory.net/archives/001839.html
c.
http://www.hotel-online.com/News/PressReleases2000_1st/Mar00_BiometricCurrency.html
d.
http://www.findbiometrics.com/viewnews.php?id=603
e.
http://www.hotelchatter.com/story/2004/10/12/191812/90/Title/Your_iris_is_the_key
•
Biometrics in Medical Services (Healthcare,
Document Security, etc)
a.
http://www.biometricsdirect.com/Documents/Case%20Study%20-%20NFMC.pdf
b.
http://er1.org/docs/Informatics/Overview%20of%20Biometrics%20in%20Healthcare.pdf
•
Biometrics in Forensics (Criminal Justice,
Disaster Victim Identification)
a.
http://www.fbi.gov/hq/cjisd
b.
http://www.interpol.int/Public/Forensic/
c.
http://dgrc.org/dgo2004/disc/presentations/health/fahmy.pdf
•
Biometrics and Smart Cards (Federal Identify
Cards, National ID, etc)
a.
http://www.smartcardalliance.org/pdf/industry_info/smartcardhandbook.pdf
(United States)
b.
http://www.gemplus.com/pss/id_security/download/Oman_case_study_Aug04.pdf
(Oman)
c.
http://www.identitycards.gov.uk (united
kingdom)
d.
http://www.asean-ssa.org/sssidsyssssphils.pdf
(Philippines)
•
Biometrics in Department of Defense
a.
http://www.biometrics.dod.mil/
b.
http://www.biometrics.dod.mil/SiteComponents/References.aspx
•
Standardization of Biometric Systems
a.
http://www.bioapi.org
b.
http://www.fmcsa.dot.gov/pdfs/tb99-003.pdf
c.
http://www.frvt.org/DLs/FERET7.pdf
d.
http://www.biometrics.dod.mil/documents/BRIEFS/Biometric-Standards.pdf
•
Students will make a presentation of
the case study to the class in the middle of the semester.
Project
The students will work in teams of 2 on a
class project. Possible topics for the project are:
•
Image quality assessment
•
Template characteristics with regard to the
change over time
•
Performance comparisons between human and
computer systems
•
Performance comparisons among different
biometric sensors and modalities
Students will submit a project report at the
end of the semester and will present their project results to the class. The
class will evaluate each teams project and provide a peer score for the each
team. The peer score will be
combined with the instructor’s evaluation of the project to achieve the final
grade for the project.
Special Needs
If
you have a disability and need reasonable accommodation in this course, you
should inform the instructor of this fact in writing within the first week of
class or as soon as possible. If you have not already done so, you must
register with the Office of Disability Services in Westside Hall (extension
3746) and obtain a copy of your Accommodation Letter. You should then meet with
your instructor to make mutually agreeable arrangements based on the
recommendations of the Accommodation Letter.
Code of Academic Responsibility and Conduct
Students
are responsible for submitting their own work. Students who cooperate on oral
or written examinations or work without authorization share the responsibility
for violation of academic principles, and the students are subject to
disciplinary action even when one of the students is not enrolled in the course
where the violation occurred.