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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
-
Keywords

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

  1. 01 Compare traditional and biometrics based authentication systems
  2. 02 Discuss seven desirable properties of physiological and behavioral biometric modalities
  3. 03 Observe modules of biometric enrolment and recognition stages
  4. 04 Differentiate between biometrics and softbiometrics
  5. 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

  1. 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)
  2. 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)
  3. 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

  1. L01 Compare traditional and biometrics based authentication systems
  2. L02 Discuss seven desirable properties of physiological and behavioral biometric modalities
  3. L03 Observe modules of biometric enrolment and recognition stages
  4. L04 Differentiate between biometrics and softbiometrics
  5. L05 Evaluate the performance of biometric systems both in verification and identification mode

Program Outcomes

  1. P01 Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
  2. P02 Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
  3. P03 Should have the ability to detect, define, formulate, and solve complex engineering problems.
  4. P04 Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
  5. P05 Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
  6. P06 Should have the ability to apply modern design methods.
  7. P07 Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
  8. P08 Should have the ability to use information technologies effectively.
  9. P09 Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
  10. P10 Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
  11. P11 Should have the ability to work in intradisciplinary teams.
  12. P12 Should have the ability to work in interdisciplinary teams.
  13. P13 Should have the skills to work individually.
  14. P14 Should have the ability to communicate effectively verbally and in writing.
  15. P15 Should have the knowledge of at least one foreign language.
  16. P16 Should be able to write effective reports, understand written reports, and prepare design and production reports.
  17. P17 Should have the ability to make effective presentations.
  18. P18 Should have the ability to give and have clear and understandable instructions.
  19. P19 Should gain consciousness (awareness) about the necessity of lifelong learning.
  20. P20 Should have the ability to access information.
  21. P21 Should have the ability to follow developments in science and technology and constantly renew himself/herself.
  22. P22 Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
  23. P23 Should gain knowledge about the standards used in engineering applications.
  24. P24 Should gain knowledge about project management, risk management, and change management practices in business life.
  25. P25 Should gain awareness about entrepreneurship, and innovation.
  26. P26 Should gain knowledge about development in sustainability.
  27. P27 Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
  28. P28 Awareness should be gained about the legal consequences of engineering solutions.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -