Course detail

Advanced Biometric Systems

FIT-PBDAcad. year: 2019/2020

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 thermo-images, 3D face or hand geometry, finger veins), error rates together with computation and their interpretation, securing of biometric systems and future biometric systems.

Language of instruction

Czech

Mode of study

Not applicable.

Guarantor

prof. Ing. Martin Drahanský, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

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

Prerequisites

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

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

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

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

Project and presentation of a selected article. During the presentation, you will be briefly examining in the selected topic.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

DRAHANSKY, Martin. Hand-based biometrics: Methods and technology. IET, 2018.
Jain, A.K., Flynn, P., Ross, A.A.: Handbook of Biometrics, Springer-Verlag, 2008, s. 556, ISBN 978-0-387-71040-2
MARCEL, Sébastien, et al. (ed.). Handbook of biometric anti-spoofing: Presentation attack detection. Springer, 2019.

Recommended reading

BOLLE, Ruud M., et al. Guide to biometrics. Springer Science & Business Media, 2013.
DAS, Ravindra. The science of biometrics: Security technology for identity verification. Routledge, 2018.
DRAHANSKÝ, Martin; ORSÁG, Filip; DOLEŽEL, Michal. Biometrie. M. Drahanský, 2011.
MALTONI, Davide, et al. Handbook of fingerprint recognition. Springer Science & Business Media, 2009.
ZHANG, David; LU, Guangming; ZHANG, Lei. Advanced biometrics. Springer International Publishing, 2018.

Classification of course in study plans

  • Programme CSE-PHD-4 Doctoral

    branch DVI4 , 0 year of study, winter semester, elective

  • Programme CSE-PHD-4 Doctoral

    branch DVI4 , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.

Syllabus

  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, biometric standards

Project

4 hod., compulsory

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.

Syllabus

  1. Project about biometric system design.

Guided consultation in combined form of studies

26 hod., optionally

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.