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Directed Studies: Biometric identification
Description
Biometric identification systems aim to automatically
identify people based on behavioural or physiological
characteristics. They are based on measurements of fingerprint,
face, iris, retina, gait, voice, hand geometry, signature,
and many others. This course aims to explore:
1) match algorithms,
2) measurement and validation methods,
3) standards, and
4) societal implications.
Instructor
Andy Adler
,
Email: adler@site.uottawa.ca
,
Office: CBY A610
,
Phone: 562-5800 x 6218
Marks
| Work | |
Value |
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| Presentation #1
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20 %
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Presentation #2
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20 %
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Presentation #3
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20 %
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Project Report
− Project Proposal
− Project Report
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40 %
− 3 %
− 37 %
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Schedule
| No. | |
Assignment | |
Due Date | |
Place/Time |
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-
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Meeting:
Initial course meeting
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May 6
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CBY B202
13h30−15h00
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-
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Meeting:
Discussion Meeting
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May 20
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CBY B202
13h15−15h00
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1
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Presentation #1:
A topic from the list of presentation topics.
Each presentation is 20 minutes + 10 min questions.
− Mehrdad: Speaker Recognition
− Richard: Face Detection
− Maria: Human factors in biometric systems
− Yednek: Fingerprint recognition
− Patrick: Biometrics for e-commerce
− Tatyana: Daugman's iris recognition algorithm
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May 27
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CBY B202
9h30−12h30
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2
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Presentation #2:
a topic from the list of presentation topics.
− Tatyana:
Best Practices in Testing and Reporting Performance of Biometric Devices
− Richard: Face recognition methods
− Patrick:
Biometric Cryptosystems.
− Mehrdad: Signature Verification
− Yednek:
spoofing techniques and liveness detection in fingerprint readers.
− Maria: overview of keystroke recognition algorithms
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June 10
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CBY B202
9h30−12h30
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-
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Project Proposals Due:
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June 17
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3
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Presentation #3:
Project Presentations
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July 25
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CBY B202
9h00−13h00
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4
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Project Reports Due:
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July 25
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Assignments, Presentations, and Project
- Presentations:
Presentations will be in English and last approx. 20
minutes followed by questions.
Marks are based on technical content, clarity of
presentation, and ability to answer questions.
The following are examples of presentation topics:
- history fingerprint recognition
- history face recognition
- algorithms for fingerprint recognition
- algorithms for face recognition
- algorithms for 3D face recognition
- algorithms for iris recognition
- algorithms for gait recognition
- algorithms for voice recognition
- algorithms for signature recognition
- biometrics testing methodologies
- biometrics statistical methods
- statistical properties of biometric samples
- large scale tests: FRVT, FpVTE
- ISO standardisation: ICAO passport standard, ILO seafarers ID
- API / software design standardization: BioAPI, BAPI, Microsoft biometric API
- biometric encryption
- applications for e-commerce
- applications for industry / government
- applications for national identity
- privacy issues
- security issues
- Project Proposal:
Proposal is 1-2 pages (double spaced). Include problem
description, proposed techniques, and references.
- Project Report:
The report will be 20−40 pages (double spaced) and written in
English or French.
The project will involve reading and explanation of
issues and techniques in the biometrics litterature.
If possible, database tests or an implementation
will be developed.
Include an introduction, methods, results and
discussion. Ensure that the report synthesizes and
discusses the material. Do not simply restate
existing work.
Marks are based on the technical content, and report clarity.
Texts and Materials
The following list represents a selection of biometrics literature.
Students should read several books and/or papers from
this list during the completion of the project.
Note, if you have suggestions for this list, please send them to me;
it is hard to keep such a list up to date.
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Engineering