INTRODUCTION TO BIOMETRIC SYSTEMS

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

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 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2. P02 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3. P03 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4. P04 Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
5. P05 Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions
6. P06 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7. P07 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8. P08 Recognition of the need for lifelong learning ; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9. P09 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10. P10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11. P11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Po-Lo Matrix