450-4110/01 – Biometric systems (BiS)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantorprof. Ing. Marek Penhaker, Ph.D.Subject version guarantorprof. Ing. Marek Penhaker, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year1Semestersummer
Study languageCzech
Year of introduction2025/2026Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
DRA0184 prof. Ing. Martin Drahanský, Ph.D.
KAN0295 Ing. Ondřej Kanich, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 2+12

Subject aims expressed by acquired skills and competences

To introduce current biometric technologies (fingerprint, retina, iris, DNA, etc.) and their use in IT and security systems. To learn methods for evaluating the performance of biometric systems, including biometric standards. Upon completion of the course, the student will understand the theory of signal processing (with respect to biometric systems), the functionality of various biometric technologies and their relevance in IT security, including systems designed for forensic purposes. In addition, the student will gain knowledge of methods for evaluating the performance of biometric systems.

Teaching methods

Lectures
Individual consultations
Experimental work in labs

Summary

Obsahem předmětu jsou poznatky ohledně teoretických základů zpracování signálů, především obrazových, pro účely biometrie; představení základních metod a využití jednotlivých biometrických vlastností lidského těla; rozpoznávání jedinců podle anatomických vlastností (otisk prstu, tvar ruky, cévní struktura ruky a prstu ruky, obličej (2D, 3D a termální), duhovky oka, sítnice oka, písmo a podpis, DNA, příp. další) a rozpoznávání pomocí behaviorálních vlastností (pohyb rtů, dynamika psaní na klávesnici či dynamiky chůze, příp. další); dále normy ISO/IEC a ANSI v biometrii; závěrem pak možnosti nasazení biometrie a praktické aspekty.

Compulsory literature:

DRAHANSKÝ, Martin (ed.). Hand-based biometrics: methods and technology. Institution of Engineering and Technology, 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. Cham, Switzerland: Springer, 2019. DRAHANSKÝ, Martin a kol.: Biometrie, Computer Press, 2011, ISBN 978-80-254-8979-6.

Recommended literature:

RATHGEB, Christian, et al. Handbook of digital face manipulation and detection: from DeepFakes to morphing attacks. Springer Nature, 2022. ROSS, Arun A.; NANDAKUMAR, Karthik; JAIN, Anil K. Handbook of multibiometrics. Springer Science & Business Media, 2006. MALTONI, Davide, et al. Handbook of fingerprint recognition. London: Springer, 2009. JAIN, Anil K.; FLYNN, Patrick; ROSS, Arun A. (ed.). Handbook of biometrics. Springer Science & Business Media, 2007. SAEED Khalid (ed.). New Directions in Behavioral Biometrics. Boca Raton, CRC Press, 2017.

Additional study materials

Way of continuous check of knowledge in the course of semester

Mid-semester mid-term test (14 points), 13 laboratory exercises (à 2 points), final written exam (60 points). Access to the final exam after credit (minimum 20 points).

E-learning

Other requirements

No other requirements are placed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Introduction to biometric systems 2. Theory of audio and image information processing for biometric systems 3. 2. Performance evaluation of biometric systems 4. Fingerprint recognition (dactyloscopy, general principles) 5. Fingerprint recognition (synthetic generation, diseases, PAD) 6. Recognition by hand shape, vascular structure of the hand and fingers, nail structure 7. Facial recognition (2D, 3D and thermal images) 8. Recognition by iris and retina of the eye 9. handwriting and signature recognition 10. Behavioural biometric features 11. Biometric standards 12. Forensic biometric examination 13. Atypical biometric systems Laboratories: 1. Working with sensors (SDK) 2. Creating a biometric database - rules and procedure 3. Performance evaluation of selected biometric systems 4. Fingerprints and dactyloscopy 5. Fingerprints and their generation, detection of presentation attacks 6. Vasculature sensing and recognition 7. 2D, 3D and thermal face 8. Retina and iris 9. Handwriting, signature and forgery 10. Keystroke and gait dynamics 11. 2D and 3D hand shape 12. Forensic examination 13. Nail structure and ear shape Projects: The exact assignment will be specified at the beginning of each semester according to the current state of the equipment and the research and development being conducted. It will be possible to choose from lecture content, especially fingerprints, face, vascular structure, eye characteristics, behavioral characteristics, etc.

Conditions for subject completion

Part-time form (validity from: 2025/2026 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)		Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  20
        Examination Examination 60  20 3
Mandatory attendence participation: the maximum leave of absence is 20 %

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2025/2026 (N0988A060001) Biomedical Engineering K Czech Ostrava 1 Optional study plan
2025/2026 (N0988A060001) Biomedical Engineering P Czech Ostrava 1 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.