Biometric Systems

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

• 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

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.

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.

Results of the course are information in the 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.

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.

• 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.

• 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.

• 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

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

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

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

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.

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