Course detail

Biometric Systems

FIT-BIOAcad. year: 2010/2011

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.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Martin Drahanský, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

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.

Prerequisites

  • 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.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Student must gain at least 15 points during the term.

Course curriculum

  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

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic 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

Recommended reading

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

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MPV , any year of study, winter semester, elective
    branch MGM , any year of study, winter semester, elective
    branch MSK , any year of study, winter semester, elective
    branch MPS , any year of study, winter semester, elective
    branch MIS , any year of study, winter semester, elective
    branch MIN , any year of study, winter semester, compulsory-optional
    branch MMI , any year of study, winter semester, elective
    branch MMM , any year of study, winter semester, elective
    branch MBI , 1. year of study, winter semester, compulsory
    branch MBS , 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.

Syllabus

  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

Laboratory exercise

6 hours, optionally

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.

Syllabus

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

Project

7 hours, optionally

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.