CSE 498Q/598Q – Biometrics: An Assessment of Technical and
Social Issues
Professor Kevin W. Bowyer
Spring Semester 2004, Tues-Thursday
Tentative Syllabus (revised
An
introduction to the major biometric techniques (fingerprint, face, iris, voice,
hand shape…), the underlying pattern recognition basis for these biometrics,
and current concerns regarding privacy and social / ethical issues.
Text: Ashburn, Biometrics, Springer-Verlag, 2000. ISBN: 1-85233-243-3. Plus additional readings assigned as the
course progresses.
Course
Goals:
As a result of taking this course, one
should: (1) develop a working knowledge of terms and concepts related to
current biometric techniques, (2) be able to distinguish between application
scenarios that involve “identification” versus “verification” of identity, (3)
understand and be able to articulate the advantages and disadvantages of the
most popular biometric techniques, (4) understand the basic issues and
controversies related to biometrics as a threat to privacy, (5) be able to
critically evaluate claims about biometric technologies that are made by
different stakeholders.
Prerequisites: None.
This course
is perhaps a bit unusual in several regards.
One way to characterize it is to imagine taking the part of a “Social
Impact of Computing” course that deals with privacy issues, focusing it
specifically on privacy and biometrics, injecting technical content that is
often not there is such courses, and expanding it into a full course. Another view on it is to imagine taking the
“Pattern Recognition” course, focusing it specifically on applications of
pattern recognition in biometrics, injecting coverage of ethical and social
issues that is often ignored in such courses, and expanding it into a full
course. Also, this is a brand new
course. It has not been taught here before, and possibly not anywhere before. While there are lots of books on biometrics,
they are mostly in the nature of edited books where each author writes a
chapter on their topic of professional expertise. There is nothing that could be called a
typical classroom textbook. So we will
be assembling a set of class notes as we go.
There is no way that we could cover all of the viable biometric
technologies in one semester, so we will necessarily limit ourselves to what
are considered the major technologies today.
Grading: Tentatively,
expect the workload and grading for the course to be distributed as follows:
twelve graded homework assignments (12x4=48), class participation (12), term
paper (20) and a final (20). The final
exam will involve understanding of a list of concepts that we accumulate over
the semester; see the list at either www.cse.nd.edu/courses/cse498q/www/BiometricsConcepts.htm
or www.nd.edu/~ksteinha/biovocab.html
(same list). Important – This class will be
conducted as a seminar class, so if you are not able to attend and participate
in class regularly, you should not expect to be able to pass the course.
Term papers
/ projects: A list of possible term paper / project topics is available in this
directory, by adding TermPaperTopics.htm to this address. Select your topic by Tuesday February
17. Rough drafts due
for critique by Tuesday March 16.
Final versions are due on Tuesday April 20 – be prepared to make a
5-minute presentation on your topic that day!
Tentative Schedule:
Tuesday, January 13: Basic technical concepts. Public
perceptions of biometrics.
(Email
with first assignment. Pick up reading
on hand shape as a biometric.)
Thursday, January 15: Basic technical concepts. Public perceptions of
biometrics.
(Bring
completed first assignment to class.)
Tuesday, January 20: Fingerprint and “multi-modal” biometrics.
(Prof. Arun Ross)
Thursday, January 22: Basic technical
concepts, hand shape as a biometric.
Tuesday, January 27: Basic technical
concepts, hand shape, fingerprint.
Thursday, January 29: Hand shape as a
biometric. (Damon Woodard)
Tuesday, February 3: Basic technical
concepts, iris recognition.
Thursday, February 5: Basic technical
concepts, fingerprint.
Tuesday, February 10: Basic technical
concepts, voice.
Thursday, February 12: Basic technical concepts, face recognition.
Tuesday, February 17: Basic technical concepts, face recognition.
(Term paper
topic selection due.)
Thursday, February 19: Basic technical concepts, face recognition.
(Pick up Assign5.doc in this directory, due at beginning of this class.)
Tuesday, February 24: Case study analysis, California SFIS.
Thursday, February 26: Case study of fingerprint recognition.
Tuesday, March 2: Case study of iris recognition.
(Pick up Assign6.doc in this directory, due at beginning of this class.)
Thursday, March 4: Face Recognition technology; case study of face recognition application.
(Pick up Assign7.doc in this directory, due at beginning of this class.)
Tuesday, March 9: << spring break >>.
Thursday, March 11: << spring break >>.
Tuesday, March 16: Case study of biometric applications: fingerprint retail payments.
(Homework assignment 8 is the rough draft of term paper.)
Thursday, March 18: Case study of biometric applications: hand shape membership verification.
Tuesday, March 23: Social impact, privacy concerns.
(Pick up Assign9.doc in this directory, due at beginning of this class.)
Thursday, March 25: Social impact, privacy concerns.
Tuesday, March 30: Social impact, privacy concerns.
(Pick up Assign10.doc in this directory, due at beginning of this class.)
Thursday, April 1: Social impact, privacy concerns.
Tuesday, April 6: Overview of markets and applications for biometrics.
(Pick up RadioReview1.doc in this directory, due at beginning of class April
13.)
Thursday, April 8: Overview of markets and applications for biometrics.
(Pick up RadioReview2.doc in this directory, due at beginning of class April
13.)
Tuesday, April 13: Advanced topics.
Thursday, April 15: Advanced topics.
Tuesday, April 20: Term paper / project presentations.
Thursday, April 22: Term paper / project presentations.
Tuesday, April 27: Term paper / project presentations.
…
Reading list:
·
Biometrics by Ashburn.
·
Hand Geometry Based
Verification article by Zunkel.
·
Recognizing Persons By Their Iris Patterns
article by Daugman.
·
Iris recognition: an
emerging biometric technology, by Rick Wildes, at www.cs.yorku.ca/~wildes/wildesPIEEE1997.pdf.
·
Fingerprint Verification, article by
Lawrence O’Gorman.
·
Speaker Recognition, article by
Joseph Campbell.
·
Patents Out Of Control? from USA Today (in the context of
IP for biometrics).
·
Face Recognition Vendor
Test (www.frvt.org), especially Overview and Summary.
·
A Survey of Face
Recognition, Fromherz, Stucki, and Bischel, http://www.fromherz.net/papers/MML-97-01.pdf (an overview of techniques)
·
Face Recognition, Rosenbloom, http://individual.toronto.ca/rav/FR/FRindex.htm (more on “eigenfaces”)