BIOMETRIC SYSTEMS
- Course
- CMPE538 - BIOMETRIC SYSTEMS
- Department
- Computer Engineering - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
This course will present an introduction to the principles of operation, design, testing, and implementation of the unimodal and multimodal biometric systems. Major and emerging biometric technologies (fingerprint, face, hand, iris, hand geometry, palmprint, keystroke, handwriting, signature, gait, voice etc.) performance and issues related to the security and privacy aspects of these systems will be addressed. Students will be introduced to a variety of methods used for processing data from various biometrics (especially signature biometric modality) and to statistical methods employed to achieve acceptable recognition performance rates (i.e. false accept rate, false reject rate, equal error rate and correct classification rates).
BIOMETRIC SYSTEMS
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 Understand the fundamentals of biometric systems.
- 02 Be able to evaluate and analyse the performance of biometric systems.
- 03 To understand and survey the existing biometric technologies.
- 04 Be able to implement uni-modal and multi-modal biometric systems.
- 05 Be able to explore new techniques.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction: Fundamentals of biometric systems |
| Week 2 | Introduction: Applications of biometric systems and types of biometric modalities |
| Week 3 | Performance Evalutaion: Enrollment of biometrics and score distribution of templates |
| Week 4 | Presentations |
| Week 5 | Performance Evalutaion: Verification |
| Week 6 | Presentations |
| Week 7 | Performance Evalutaion: Identification |
| Week 8 | Midterm Examination |
| Week 9 | Presentations |
| Week 10 | Existing biometric technologies: iris biometrics, implementation and related work |
| Week 11 | Existing biometric technologies: isignature biometrics, implementation and related work |
| Week 12 | Multi-biometrics: introduction and fusion techniques |
| Week 13 | Presentations |
| Week 14 | - |
| Week 15 | - |
Reference Books & Course Materials
- 01 Anil K. Jain, Ruud Bolle and Sharath Pankanti, Biometrics: Personal Identification in Networked Society, Kluwer Academic Publishers, 2002. (eBook ISBN: 0-306-47044-6, Print ISBN: 0-792-38345-1)
- 02 Samir Nanavati, Michael Thieme and Raj Nanavati, Biometrics: Identty Verification in a Networked World, John Wiley &Sons,Inc., 2002. (Print ISBN: 0471-09945-7)
- 03 Anil K. Jain, Patrick Flynn and Arun A. Ross, Handbook of Biometrics, Springer Science + Business Media, 2008. (eBook ISBN: 978-0-378-71041-9, Print ISBN: 978-0-378-71040-2)
- 04 Anil K. Jain, Robert P.W Duin and Jianchang Mau, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.1, 2000.
Learning Outcomes
- L01 Understand the fundamentals of biometric systems.
- L02 Be able to evaluate and analyse the performance of biometric systems.
- L03 To understand and survey the existing biometric technologies.
- L04 Be able to implement uni-modal and multi-modal biometric systems.
- L05 Be able to explore new techniques.
Program Outcomes
No program outcomes have been defined.
Po-Lo Matrix
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