Course detail

Biometric Systems (in English)

FIT-BIOeAcad. year: 2022/2023

Theory of the signal processing, especially image signal processing, for the purposes of the biometry. Introduction of the basic methods and techniques of the static single biometric features: fingerprint, hand geometry, face and its thermogram, iris, retina, handwriting. Recognition using the dynamic features: lip movements, typing or gait. Standards in the biometry. Applications of the biometry.

Language of instruction

English

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Vladimír Janoušek, Ph.D.

Department

Department of Intelligent Systems (UITS)

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

Theory of the signal processing, functionality of different biometric technologies and of their importance in the IT security, including systems for the police purposes. Knowledge of the methods of the biometric systems evaluation.

Prerequisites

  • Student should be familiar with the basics of the 1- and 2-dimensional signal processing.
  • Valid schooling of Edict No. 50 (work with electrical devices) is needed.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  1. Mid-term written test.
  2. Attending of the laboratory seminars.
  3. Project.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

To learn the actual biometric technologies (fingerprint, eye retina, eye iris, DNA etc.) and their application in the IT and in the security systems. To learn methods for evaluation of the reliability and quality of the biometric systems, including biometric standards.

Specification of controlled education, way of implementation and compensation for absences

Mid-term exam, presence in the laboratory practice, projects and final exam are monitored and given points for. There is no way to obtain the points for the mid-term exam, project after the deadline and laboratory practice additionally. Final exam has two additional correction possibilities.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Ashbourn, J.: Practical Biometrics - From Aspiration to Implementation, Springer Verlag, 2004, ISBN 1-85233-774-5
Bhanu, B., Tan, X.: Computational Algorithms for Fingerprint Recognition, Kluwer Academic Publishers, USA, 2004, ISBN 1-4020-7651-7
Bolle, R.M., Connell, J.H., Pankanti, S., Ratha, N.K., Senior, A.W.: Guide to Biometrics, Springer Verlag, 2004, ISBN 0-387-40089-3
Drahanský, M.: Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018. ISBN 978-1-78561-224-4
Drahanský, M., Orság, F., Doležel, M. a kol.: Biometrie, Brno, CZ, Computer Press, 2011, ISBN 978-80-254-8979-6
Chirillo, J., Blaul, S.: Implementing Biometric Security, Wiley Publishing, 2003, ISBN 0-7645-2502-6
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, Springer, New York, 2003, ISBN 0-387-95431-7
Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7
Woodward, J.D., Orlans, N.M., Higgins, P.T.: Biometrics - Identity Assurance in the Information Age, McGraw-Hill Osborne Media, 2002, ISBN 007-222227-1

Recommended reading

Ashbourn, J.: Practical Biometrics - From Aspiration to Implementation, Springer Verlag, 2004, ISBN 1-85233-774-5
Bolle, R.M., Connell, J.H., Pankanti, S., Ratha, N.K., Senior, A.W.: Guide to Biometrics, Springer Verlag, 2004, ISBN 0-387-40089-3
Drahanský, M.: Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018. ISBN 978-1-78561-224-4 (k dostání v knihovně FIT/available in FIT library)
Drahanský, M., Orság, F. a kol.: Biometrie, Computer Press, 2011, ISBN 978-80-254-8979-6 (k dostání v knihovně FIT/available in FIT library)
Chetty, G., Yang, J.: Advanced Biometric Technologies, InTech, 2011, p. 394, ISBN 978-953-307-487-0.
Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7
Yang, J.: Biometrics, InTech, 2011, p. 278, ISBN 978-953-307-618-8.
Yang, J., Nanni, L.: State of the Art in Biometrics, InTech, 2011, p. 326, ISBN 978-953-307-489-4.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme IT-MGR-1H Master's

    branch MGH , 1 year of study, winter semester, recommended course

  • Programme MIT-EN Master's 0 year of study, winter semester, elective

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Ing. Ondřej Kanich, Ph.D.
Mona Heidari, Ph.D.
doc. Ing. Vladimír Janoušek, Ph.D.

Syllabus

  1. Introduction to the biometric systems
  2. Theory of the sound and image signal processing
  3. Evaluation of the reliability and quality of the biometric systems
  4. Fingerprint recognition
  5. Liveness detection on fingers
  6. Hand geometry, veins and nail recognition
  7. Face and face thermogram recognition
  8. Iris and retina recognition
  9. Handwriting and signature recognition
  10. Dynamic biometric characteristics
  11. DNA and its application in the biometry
  12. Biometric standards
  13. Biometric systems of the future

Laboratory exercise

6 hod., compulsory

Teacher / Lecturer

Mona Heidari, Ph.D.
Andrii Kavetskyi
Ing. Ondřej Kanich, Ph.D.

Syllabus

  • Fingerprint recognition, dactyloscopy, work with sensors, spoofing, liveness detection
  • Eye retina and eye iris, 3D face model
  • Signature and its spoofing, 2D and 3D hand geometry, recognition of hand veins, thermograms of face and hand

 

Project

7 hod., compulsory

Teacher / Lecturer

Mona Heidari, Ph.D.
Andrii Kavetskyi
Ing. Ondřej Kanich, Ph.D.

Syllabus

Exact specification will be published within the semester. It will be possible to choose from the following categories:
  • Fingerprint recognition
  • Liveness detection
  • Hand geometry, veins and nail recognition
  • Face and face thermogram recognition
  • Iris and retina recognition
  • Handwriting and signature recognition
  • Dynamic biometrical characteristics
  • DNA and its application in the biometry
  • Biometrical standards
 

Elearning

eLearning: currently opened course