2. PRESENTATION OVERVIEW
• Graduate course structure
• Class overview
• MS online degree information
• Badge-powered learning
• Advanced learning management tools
3. GRADUATE COURSES
Biometric Technology
and Applications
Information &
Communications
Technologies
Standards
Biometric
Technology, Test
Design, Performance
and Evaluation
Automatic
Identification and
Data Capture for the
Enterprise
Biometric
Performance and
Usability Analysis
Biometric System
Interoperability
Fingerprint
Performance and
Usability
5. BIOMETRIC TECHNOLOGY AND
APPLICATIONS
• Examines biometrics technology as it relates to
security, access control, and the authentication
of individuals
• The course will examine biometric
technologies including:
• Iris, face, finger, hand geometry, dynamic
signature verification, skin print analysis, and
voice recognition
6. BIOMETRIC TECHNOLOGY AND
APPLICATIONS
• Students select the in-depth knowledge in
biometric modalities of their choice
• Replicate research
• Work in teams
• Publish papers and presentations
7. BIOMETRIC TECHNOLOGY AND
APPLICATIONS
• Serves as a gateway course to the other
biometric courses
• Uses Jetpack for course material
• Downloadable videos, presentations, papers, and
lectures
• Uses Hotseat for online course discussions
8. AUTOMATIC IDENTIFICATION FOR THE
ENTERPRISE
• The course provides a basic understanding of
automatic identification and data capture
technologies and concepts with regard to how
their deployment affects business and industry
• Biometrics are part of Automatic Identification
and Data Capture (AIDC) technologies
9. AUTOMATIC IDENTIFICATION FOR THE
ENTERPRISE
• Technologies include:
• Barcodes
• Biometrics
• RFID
• Card technologies
10. ICT STANDARDS
• 1 credit course
• Repeatable 3 times
• Follows work in INCITS M1 and ISO/IEC
JTC 1 SC37
• Provides opportunities for students to provide
technical comments
• Closely linked to biometric standards work
12. BIOMETRIC TECHNOLOGY TEST DESIGN,
PERFORMANCE, AND EVALUATION
• An introduction of methods of designing biometric testing,
performance, and evaluation analyses
• Methods of evaluating fingerprint, face, iris, and voice recognition
data is explored using ROC curves, CMC, Rank statistics, and
DET curves
• Examines testing requirements from submission of IRB
documents to the final analysis
• Includes a component of comparative analysis within modalities
14. •
•
•
BIOMETRIC PERFORMANCE AND
USABILITY ANALYSIS
An introduction of test methodologies from disciplines outside of
biometrics, which include:
•
•
•
•
Usability
Ergonomics
Human factors
Human-computer interaction
Demonstrate how biometric data analysis can benefit from understanding
how humans interact with biometric sensors during the testing and
evaluation of biometric systems
Explores test methods, case studies, and prior biometric testing reports in
order to develop a test methodology that includes information on how
users interact with biometric systems
16. FINGERPRINT PERFORMANCE AND
USABILITY
• Covers topics of fingerprint capture, fingerprint
feature extraction, fingerprint matching, and attacks
on fingerprint systems
• Requires analysis of real fingerprint data and the
integration of fingerprint recognition in existing
infrastructures
• Development of a fingerprint recognition system is
required
18. BIOMETRIC SYSTEMS INTEROPERABILITY: APPLICATIONS
AND CHALLENGES
• Provides a technology neutral approach to the
discussion of biometric system interoperability
• Examines the issues of biometric sub-systems of
different biometric modalities and sub-systems of
the general biometric model
• Students will be able to critically evaluate the
impact of interoperability of sub-systems on the
performance of the entire system
19. BIOMETRIC POLICY, LAW, & ETHICS
• Review and analyze policies, laws, and ethical
behavior regulations of biometric technologies
20. BUSINESS AND BIOMETRICS
• This course is an introduction to how biometric
technologies are used in business and industrial
environments
• Case studies
• Successful and unsuccessful biometrics companies
• Guest lectures from experts in the field including:
• Technical experts
• Companies being launched via VC
• Small stable companies discussing issues of growth
22. MS ONLINE
• 33 credit hours
• 100% online
• Taught using latest academic learning
technologies
• Study at your own pace
23. MS ONLINE PLAN OF STUDY
• Semester 1:
• TECH 621 AIDC for the Enterprise
• Portfolio Development
• STAT 501 or equivalent
24. MS ONLINE PLAN OF STUDY
• Semester 2:
• Biometric Technology and Applications
• Portfolio Development
• STAT 502 or equivalent
• Concentration Selective
25. MS ONLINE PLAN OF STUDY
• Semester 3:
• Project Management
• Portfolio Development
• Biometric Performance and Usability
• Info Sec Concepts
26. MS ONLINE PLAN OF STUDY
• Semester 4:
• Biometric Policy, Law and Ethics
• Portfolio Development
• Business and Biometrics
• Concentration Selectives
27. MS ONLINE – CONCENTRATION
SELECTIVES – HUMAN FACTORS
• Human Factors
• If you want to spend more time working on human
factors area, you can take this area as a selective
• Human Factors in Engineering
• Topics in Industrial Engineering
28. MS ONLINE – CONCENTRATION
SELECTIVES – STATISTICS
• Statistics
• If you want to spend more time working on
statistics, you can take this area as a selective
• Applied Regression Analysis
• Statistical Quality Control
• Design of Experiments
• Sampling and Survey Techniques
30. BADGE-POWERED FLEXIBLE LEARNING
• Passport guides students through tasks by
providing a framework to submit
documents, share links, complete quizzes, or
gather approvals
31. BADGE-POWERED FLEXIBLE LEARNING
• Biometrics
• This badge covers a broad understanding of
multiple biometric modalities. Students will need to
prove an understanding of an introduction to
biometrics, fingerprint recognition, iris
recognition, hand geometry, signature
recognition, voice recognition, and standards
32. BADGE-POWERED FLEXIBLE LEARNING
• Fingerprint
•
This badge covers an in-depth
understanding of the biometric
modality of fingerprint
recognition. Students will need
to replicate a fingerprint
recognition study and create
further advancements in the
field
33. BADGE-POWERED FLEXIBLE LEARNING
• Iris
•
This badge covers an in-depth
understanding of the biometric
modality of iris recognition.
Students will need to replicate
an iris recognition study and
create further advancements in
the field
34. BADGE-POWERED FLEXIBLE LEARNING
• Face
•
This badge covers an in-depth
understanding of the biometric
modality of face recognition.
Students will need to replicate a
face recognition study and
create further advancements in
the field
35. BADGE-POWERED FLEXIBLE LEARNING
• Performance
•
This badge covers an in-depth
understanding of the
performance of biometric
matching. Students will need to
show proficiency with our
matching software and perform
an analysis of performance
metrics such as similarity
scores or zoo stability
36. BADGE-POWERED FLEXIBLE LEARNING
• Advanced Biometrics
•
This badge covers an in-depth
understanding of multiple
biometric modalities. Students
will need to take part in
additional research at the
International Center for
Biometric Research and publish
a paper or present at a
technological conference
37. ADVANCED LEARNING TOOLS TO KEEP YOU
ON TRACK, ENGAGED, AND SUCCESSFUL
• Uses advanced learning management tools
• Blackboard
• Jetpack
• Passport
• Hotseat
• Signals
38. APPLICATION
• For badges, please go to icbrpurdue.org
• For non-degree courses, please click on the
Non-Degree Registration Form
• For MS online, please go to
www.tech.purdue.edu/prostar
• For on-campus students, please go to
icbrpurdue.org/oncampus
39. TEST DRIVE THE JETPACK
• If you would like to test drive the
Jetpack, please download the app here
40. OTHER PRESENTATIONS
• ICBR Lab Overview
• ICBR Lab Research Agenda
• ICBR Lab Research Presentation Library