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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 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
  2. P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
  3. 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
  4. P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
  5. P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
  6. P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
  7. P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
  8. P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
  9. P09 Apply effective communication skills consistent with the professional environment
  10. 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 - - - - - - - - - - -