Course details

Biometric Systems

BIO Acad. year 2005/2006 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. Standards in the biometry. Applications of the biometry.

Guarantor

Drahanský Martin, prof. Ing., Ph.D.

Language of instruction

Czech, English

Completion

Credit+Examination

Time span

  • 39 hrs lectures
  • 13 hrs pc labs

Department

Department of Intelligent Systems (UITS)

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 knowledge and skills

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

Study literature

  • 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
  • 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. The genesis and history of biometry, 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 based recognition
  5. Hand geometry and veins of handback based recognition
  6. Face and face thermogram based recognition
  7. Iris and retina based recognition
  8. Voice based recognition
  9. Handwriting and signature based recognition
  10. Dynamical characteristics - lips movements, typing
  11. DNA, its properties and application in the biometry
  12. Standards of the various biometric features
  13. Biometric systems of the future

Syllabus of computer exercises

  1. Signal processing
  2. Fingerprint based recognition 
  3. Face based recognition
  4. Hand geometry based recognition
  5. Voice based recognition
  6. Handwriting based recognition
  7. Technology of the dynamical features

Progress assessment

Student must gain at least 15 points during the term.

Controlled instruction

Mid-term exam, presence in the labaratory practice and final exam are monitored and given points for. There is no way to obtain the points for the mid-term exam and laboratory practice additionally. Final exam has two additional correction possibilities.

Back to top