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)
• 9 pts labs
• 21 pts projects

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.

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

• 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

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.

Each teacher has their consultation hours for personal contact and can also be reached electronically via email or through MS Teams.