Course detail

Biometric Systems

FIT-BIOAcad. year: 2025/2026

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

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Vladimír Janoušek, Ph.D.

Department

Department of Intelligent Systems (UITS)

Entry knowledge

  • Student should be familiar with the basics of the 1- and 2-dimensional signal processing.

Rules for evaluation and completion of the course

Controlled parts of classes and tasks include participation in exercises, projects, a midterm exam, and a final exam. Earning credit is conditional upon obtaining 15 points during the semester. Without this credit, it is not possible to take the final exam.

    1. Midterm Exam (15 points)
    2. Participation in Exercises (9 points)
    3. Project and Its Defense (21 points): You must earn at least 3 points for the project; after the submission deadline, it is not possible to receive additional points.
    4. Final Exam (oral or written, 55 points): The oral or written format of the exam will be specified for each exam date.

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.

After completing the course, the student understands theory of the signal processing, functionality of different biometric technologies and of their importance in the IT security, including systems for the police purposes. The student has knowledge of the methods of the biometric systems evaluation.

Study aids

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
Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, Springer, New York, 2003, ISBN 0-387-95431-7
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., Orság, F. a kol.: Biometrie, Computer Press, 2011, ISBN 978-80-254-8979-6 (k dostání v knihovně FIT/available in FIT library)
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)
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.

Classification of course in study plans

  • Programme MITAI Master's

    specialization NSEC , 0 year of study, winter semester, compulsory
    specialization NNET , 0 year of study, winter semester, elective
    specialization NMAL , 0 year of study, winter semester, elective
    specialization NCPS , 0 year of study, winter semester, elective
    specialization NHPC , 0 year of study, winter semester, elective
    specialization NVER , 0 year of study, winter semester, elective
    specialization NIDE , 0 year of study, winter semester, elective
    specialization NISY , 0 year of study, winter semester, elective
    specialization NEMB , 0 year of study, winter semester, elective
    specialization NSPE , 0 year of study, winter semester, elective
    specialization NEMB , 0 year of study, winter semester, elective
    specialization NBIO , 0 year of study, winter semester, elective
    specialization NSEN , 0 year of study, winter semester, elective
    specialization NVIZ , 0 year of study, winter semester, elective
    specialization NGRI , 0 year of study, winter semester, elective
    specialization NADE , 0 year of study, winter semester, elective
    specialization NISD , 0 year of study, winter semester, elective
    specialization NMAT , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Ing. Filip Orság, Ph.D.
Ing. Lukáš Semerád, Ph.D.
Ing. Tomáš Goldmann, Ph.D.
Ing. Štěpán Rydlo
Mgr. Kamil Malinka, 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

Ing. Martin Sakin
Ing. Lukáš Semerád, Ph.D.

Syllabus

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

Project

7 hod., compulsory

Teacher / Lecturer

Ing. Štěpán Rydlo
Ing. Jan Tinka
Ing. Lukáš Semerád, Ph.D.
Ing. Matej Viskupič
Ing. Tomáš Goldmann, Ph.D.
Ing. Filip Pleško
Ing. Martin Sakin

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