Faculty of Information Technology, BUT

Course details

Biometric Systems

BIO Acad. year 2012/2013 Winter semester 5 credits

Current academic year

Theory of the signal processing, especially image and sound 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, voice, handwriting. Recognition using the dynamic features: lip movements, typing or gait. Standards in the biometry. Applications of the biometry.

Guarantor

Language of instruction

Czech

Completion

Credit+Examination (written)

Time span

39 hrs lectures, 6 hrs laboratories, 7 hrs projects

Assessment points

55 exam, 15 half-term test, 12 exercises, 18 projects

Department

Lecturer

Instructor

Doležel Michal, Ing. (DITS FIT BUT)
Kubát David, Ing. (DITS FIT BUT)
Malčík Dominik, Ing. (DITS FIT BUT)
Stružka Jaroslav, Ing. (DITS FIT BUT)
Váňa Jan, Ing. (DITS FIT BUT)

Subject specific learning outcomes and competences

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

Learning objectives

To learn the actual biometric technologies (fingerprint, retina, 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.

Prerequisite kwnowledge 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., Orság, F. a kol.: Biometrie, Computer Press, 2011, ISBN 978-80-254-8979-6 (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
  • Nanavati, S., Thieme, M., Nanavati, R.: Biometrics - Identity Verification in a Networked World, Wiley Publishing, 2002, ISBN 0-471-09945-7

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
  • 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. Hand geometry, veins and nail recognition
  6. Face and face thermogram recognition
  7. Iris and retina recognition
  8. Voice recognition
  9. Handwriting and signature recognition
  10. Dynamic biometrical characteristics
  11. DNA and its application in the biometry
  12. Biometrical standards
  13. Biometric systems of the future

Syllabus of laboratory exercises

  1. Fingerprint recognition, work with the thermocamera
  2. Voice recognition
  3. Practical illustration of industrial biometrical systems

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
  • Hand geometry, veins and nail recognition
  • Face and face thermogram recognition
  • Iris and retina recognition
  • Voice 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.

Controlled instruction

Mid-term exam, presence in the labaratory 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.

Course inclusion in study plans

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