INTRODUCTION TO BIOMETRIC SYSTEMS
- Course
- CMPE466 - INTRODUCTION TO BIOMETRIC SYSTEMS
- Department
- Computer Engineering - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
Course Description
This course will presents 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 performance rates (i.e. false accept rate, false reject rate, equal error rate and correct classification rates).
INTRODUCTION TO BIOMETRIC SYSTEMS
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 Compare traditional and biometrics based authentication systems
- 02 Discuss seven desirable properties of physiological and behavioral biometric modalities
- 03 Observe modules of biometric enrolment and recognition stages
- 04 Differentiate between biometrics and softbiometrics
- 05 Evaluate the performance of biometric systems both in verification and identification mode
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to biometrics |
| Week 2 | Traditional and biometric authentication systems |
| Week 3 | Application areas of biometric systems |
| Week 4 | Fundamentals of biometrics |
| Week 5 | Biometric modalities |
| Week 6 | Uni-modal and multi-modal biometrics |
| Week 7 | MID-TERM EXAM WEEK |
| Week 8 | MID-TERM EXAM WEEK |
| Week 9 | How biometric system works? |
| Week 10 | Modules of biometric system architecture |
| Week 11 | Evaluation of biometric systems |
| Week 12 | Performance analysis of biometric systems |
| Week 13 | Example system: step by step signature biometric recognition |
| Week 14 | FINAL EXAM WEEK |
| Week 15 | FINAL EXAM WEEK |
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)
Learning Outcomes
- L01 Compare traditional and biometrics based authentication systems
- L02 Discuss seven desirable properties of physiological and behavioral biometric modalities
- L03 Observe modules of biometric enrolment and recognition stages
- L04 Differentiate between biometrics and softbiometrics
- L05 Evaluate the performance of biometric systems both in verification and identification mode
Program Outcomes
- P01 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
- P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
- P03 Demonstrate comprehensive understanding of appropriate enterprise frameworks, theories from the MIS to research and assess contemporary issues in the field and related allied fields and disciplines
- P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
- P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
- P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
- P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
- P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
- P09 Apply effective communication skills consistent with the professional environment
- P10 Apply effective collaboration skills consistent with the professional environment
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - |