Course details

Advanced biometric systems

PBD Acad. year 2014/2015 Winter semester

Current academic year

Introduction to biometric systems, analysis of signal processing at a general level, specific algorithms for signal processing in the area of biometric systems, specialized procedures for processing of selected biometric features (e.g. face thermoimages, 3D face or hand geometry, finger veins), error rates together with computation and their interpretation, securing of biometric systems and future biometric systems.

Guarantor

Drahanský Martin, prof. Ing., Ph.D.

Language of instruction

Czech, English

Completion

Examination

Department

Department of Intelligent Systems (UITS)

Subject specific learning outcomes and competences

Students will learn basic principles of secure and reliable biometric systems design.

Learning objectives

To acquaint with the advanced concepts in the area of biometric systems.

Prerequisite knowledge and skills

Basic knowledge of signal processing, ideally also basic knowledge about biometric systems.

Study literature

  • MALTONI, Davide, et al. Handbook of fingerprint recognition. Springer Science & Business Media, 2009.
  • BOLLE, Ruud M., et al. Guide to biometrics. Springer Science & Business Media, 2013.
  • DRAHANSKÝ, Martin; ORSÁG, Filip; DOLEŽEL, Michal. Biometrie. M. Drahanský, 2011.

Fundamental literature

  • Jain, A.K., Flynn, P., Ross, A.A.: Handbook of Biometrics, Springer-Verlag, 2008, s. 556, ISBN 978-0-387-71040-2

Syllabus of seminars

Syllabus of lectures:
  1. Introduction into problematics of biometric systems
  2. Basic signal processing
  3. Advance signal processing
  4. Reliabiltiy evaluation of biometric systems (error rates)
  5. Advanced recognition - face thermoimages
  6. Advanced recognition - 3D face geometry
  7. Advanced recognition - 3D hand geometry
  8. Advanced recognition - finger veins
  9. Advanced recognition - eye retina
  10. Design conception of a biometric system a its testing
  11. Future biometric systems

Syllabus - others, projects and individual work of students:
  1. Project about biometric system design.

Progress assessment

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Controlled instruction

Project and presentation of a selected article.

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