Course detail

Advanced Biometric Systems

FIT-PBDAcad. year: 2020/2021

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

Areas of questions to the Ph.D. state examination

  1. Definition of possible ways of processing biometric signals with a focus on specific filters for detection and extraction of biometric features.
  2. Definition of reliability evaluation of biometric systems, incl. concepts FAR/FRR, FMR/FNRM, ROC/DET and compilation of experimental scenarios.
  3. Description of recognition of thermal face images (method of scanning, (pre)processing of biometric characteristics, extraction of features and comparison).
  4. Description of 3D face recognition (method of scanning, (pre)processing of biometric characteristics, feature extraction and comparison).
  5. Description of finger/hand vein recognition (method of scanning, (pre)processing of biometric characteristics, feature extraction and comparison).
  6. Description of eye iris recognition (method of scanning, (pre)processing of biometric characteristics, feature extraction and comparison).
  7. Description of eye retina recognition (method of scanning, (pre)processing of biometric characteristics, feature extraction and comparison).
  8. Definition of the composition of the biometric system, description of critical points and the difference between unimodal and multimodal biometric system.
  9. Definition of the issue of biometric passports from a global perspective, focusing on the biometric part.
  10. A description of the biometric systems that are important for future use and a description of the requirements that are placed on these systems.

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.

Recommended optional programme components

Not applicable.

Recommended or required reading

ZHANG, David; LU, Guangming; ZHANG, Lei. Advanced biometrics. Springer International Publishing, 2018.
DAS, Ravindra. The science of biometrics: Security technology for identity verification. Routledge, 2018.
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.
JAIN, Anil K.; FLYNN, Patrick; ROSS, Arun A. (ed.). Handbook of biometrics. Springer Science & Business Media, 2007.
DRAHANSKY, Martin. Hand-based biometrics: Methods and technology. IET, 2018.
UHL, Andreas, et al. Handbook of vascular biometrics. Springer Nature, 2020.
MARCEL, Sébastien, et al. (ed.). Handbook of biometric anti-spoofing: Presentation attack detection. Springer, 2019.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction

Czech, English

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.

Classification of course in study plans

  • Programme VTI-DR-4 Doctoral

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

  • Programme VTI-DR-4 Doctoral

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

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

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

Guided consultation in combined form of studies

26 hours, optionally

Teacher / Lecturer

Project

4 hours, compulsory

Teacher / Lecturer

Syllabus

  1. Project about biometric system design.

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