Course details

Biometric Systems

BIO Acad. year 2023/2024 Winter semester 5 credits

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.

Guarantor

Course coordinator

Language of instruction

Czech, English

Completion

Credit+Examination (written)

Time span

  • 39 hrs lectures
  • 6 hrs laboratories
  • 7 hrs projects

Assessment points

  • 55 pts final exam (40 pts written part, 15 pts test part)
  • 15 pts mid-term test (11 pts written part, 4 pts test part)
  • 12 pts labs
  • 18 pts projects

Department

Lecturer

Instructor

Course Web Pages

Learning objectives

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.

Why is the course taught

Students will become familiar with biometrics systems during the course. This modern way of security is getting into everyday life. Whether in the form of biometric passports or access systems.

Prerequisite knowledge and skills

  • 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.

Study literature

  • 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)
  • 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
  • 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.

Fundamental 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

Syllabus of lectures

  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

Syllabus of laboratory exercises

  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

Syllabus - others, projects and individual work of students

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

Progress assessment

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

 

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.

Exam prerequisites

Student must gain at least 15 points during the term and at the same time at least 3 points student must get from project.

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Tue other 2023-12-05 S206 12:0013:00 Obhajoby projektů 05.12. #1
Tue other 2023-12-05 S206 13:0014:00 Obhajoby projektů 05.12. #2
Tue other 2023-10-31 S214 16:0018:00 Laboratorní cvičení 1
Tue other 2023-11-14 S214 16:0018:00 Laboratorní cvičení 2
Tue other 2023-11-28 S214 16:0018:00 Laboratorní cvičení 3
Wed exam 2024-01-31 D0206 10:0012:50 2. opravný termín
Wed other 2023-11-01 S214 16:0018:00 Laboratorní cvičení 1
Wed other 2023-11-15 S214 16:0018:00 Laboratorní cvičení 2
Wed other 2023-11-29 S214 16:0018:00 Laboratorní cvičení 3
Wed other 2023-11-01 S214 18:0020:00 Laboratorní cvičení 1
Wed other 2023-11-15 S214 18:0020:00 Laboratorní cvičení 2
Wed other 2023-11-29 S214 18:0020:00 Laboratorní cvičení 3
Thu other 2023-11-02 S214 10:0012:00 Laboratorní cvičení 1
Thu other 2023-11-16 S214 10:0012:00 Laboratorní cvičení 2
Thu other 2023-11-30 S214 10:0012:00 Laboratorní cvičení 3
Thu other 2023-11-02 S214 12:0014:00 Laboratorní cvičení 1
Thu other 2023-11-16 S214 12:0014:00 Laboratorní cvičení 2
Thu other 2023-11-30 S214 12:0014:00 Laboratorní cvičení 3
Thu exam 2024-01-11 E112 14:0016:50 Řádný termín
Thu other 2023-12-07 S206 15:0016:00 Obhajoby projektů 07.12. #1
Thu other 2023-12-07 S206 16:0017:00 Obhajoby projektů 07.12. #2
Thu exam 2024-01-25 E105 17:0019:50 1. opravný termín
Thu other 2023-12-07 S206 17:0018:00 Obhajoby projektů 07.12. #3
Fri lecture 1., 4. of lectures E105 08:0010:5070 1MIT 2MIT NBIO NISD NSEC xx Rydlo
Fri lecture 2., 5., 7., 10., 11., 12., 13. of lectures E105 08:0010:5070 1MIT 2MIT NBIO NISD NSEC xx Kanich
Fri lecture 3., 8. of lectures E105 08:0010:5070 1MIT 2MIT NBIO NISD NSEC xx Goldmann
Fri lecture 2023-10-27 E105 08:0010:5070 1MIT 2MIT NBIO NISD NSEC xx Semerád
Fri other 2023-09-22 S202 08:0008:15 Zápočet
Fri exam 2023-11-03 E105 08:1509:15 Půlsemestrální zkouška
Fri exam 2023-12-15 E105 08:5010:50 Předtermín

Course inclusion in study plans

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