Course detail

Biometric Systems

FIT-BIOAcad. year: 2018/2019

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.

Learning outcomes of the course unit

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.

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.

Recommended optional programme components

Not applicable.

Recommended or required reading

  • Drahanský, M., Orság, F. a kol.: Biometrie, Computer Press, 2011, ISBN 978-80-254-8979-6 (k dostání v knihovně FIT)
  • 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., 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

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  1. Mid-term written test.
  2. Attending of the laboratory seminars.
  3. Project.

Exam prerequisites:
Student must gain at least 15 points during the term.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

    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 and liveness detection on fingers
    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, 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

    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 and liveness detection
    • 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

Aims

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.

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

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.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MPV , any year of study, winter semester, 5 credits, elective
    branch MGM , any year of study, winter semester, 5 credits, elective
    branch MSK , any year of study, winter semester, 5 credits, elective
    branch MIS , any year of study, winter semester, 5 credits, elective
    branch MIN , any year of study, winter semester, 5 credits, compulsory-optional
    branch MMI , any year of study, winter semester, 5 credits, elective
    branch MMM , any year of study, winter semester, 5 credits, elective
    branch MBI , 1. year of study, winter semester, 5 credits, compulsory
    branch MBS , 2. year of study, winter semester, 5 credits, compulsory

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

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 and liveness detection on fingers
  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, compulsory

Teacher / Lecturer

Syllabus


  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

Project

7 hours, compulsory

Teacher / Lecturer

Syllabus

Exact specification will be published within the semester. It will be possible to choose from the following categories:


  • Fingerprint recognition and liveness detection
  • 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

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