Course details

Advanced Biometric Systems

PBD Acad. year 2022/2023 Winter semester

Current academic year

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.

Guarantor

Janoušek Vladimír, doc. Ing., Ph.D. (DITS)

Course coordinator

Kanich Ondřej, Ing., Ph.D. (DITS)

Language of instruction

Czech, English

Completion

Examination (oral)

Time span

  • 26 hrs lectures
  • 4 hrs projects

Assessment points

  • 60 pts final exam (oral part)
  • 40 pts projects

Department

Department of Intelligent Systems (UITS)

Lecturer

Janoušek Vladimír, doc. Ing., Ph.D. (DITS)

Instructor

Janoušek Vladimír, doc. Ing., Ph.D. (DITS)

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.

Why is the course taught

Students will become familiar with advanced biometrics systems during the course. This modern way of security is getting into everyday life. Whether in the form of biometric passports or access systems.

Prerequisite knowledge and skills

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

Study literature

  • 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.

Fundamental literature

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

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, biometric standards

Syllabus - others, projects and individual work of students

Project about biometric system design.

Progress assessment

  1. Project

Controlled instruction

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

Course inclusion in study plans

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