Oct 1, 2020   2:33 p.m. Arnold
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Course syllabus I-BIOM - Biometrics (FEEIT - SS 2019/2020)

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Slovak University of Technology in Bratislava
Course unit code: I-BIOM
Course unit title:
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
2 hours weekly (on-site method)

Credits allocated:
Recommended semester/trimester: Applied Informatics - master (semi-compulsory), 2. semester
Level of study:
Prerequisites for registration:
Assesment methods:
Active participation in the exercises and successful fulfillment of tasks. Successful completion of the exam.
Total mark in the examination will be derived from a point expressed as follows:
-exercises max. 45 points
-written exam max. 55 points
Exam is successful provided the following criteria are met:
-20 points for exercise
-20 points for the written exam
Evaluation of the subject is according to the grading scale according to STU Study Regulations.
Learning outcomes of the course unit:
The students will study theory and applications of biometric methods. They obtain theoretical knowledge about biometrics and biometric systems and about their utilization in information technology and about standardization activities in this area. They will study and use mathematical apparatus of pattern recognition in biometrics. The subject covers technical as well as other (social, juridical) aspects of biometric technologies.
Course contents:
Concepts - biometric recognition, biometrics, requirements for biometrics.
Biometric systems, their modes and architectures.
Biometric system errors and evaluation.
Overview, comparison and evaluation of various biometrics.
Unimodal biometric systems, their advantages, disadvantages and limits.
Multimodal biometric systems, their modes of operation, levels of fusion.
Biometric pattern recognition methods.
Privacy protection and social acceptance.
Biometric standardization, data formats.
Design and implementation of biometric systems, applications of biometric systems, biometric databases, security of biometric systems.
Recommended or required reading:
RATHA, N K. -- GOVINDARAJU, V. Advances in Biometrics: Sensors, Algorithms and Systems. London : Springer Verlag, 2008. 503 p. ISBN 978-1-84628-920-0.
VACCA, J R. Biometric Technologies and Verification systems. Burlington : Elsevier, 2007. 625 p. ISBN 978-0-7506-7967-1.
RAK, R. -- MATYÁŠ, V. -- ŘÍHA, Z. -- A KOL. Biometrie a identita člověka ve forenzních a komerčních aplikacích. Praha : Grada Publishing, 2008. 503 p. ISBN 978-80-247-2365-5.
JAIN, A. Handbook of Biometrics. London: Springer-Verlag, 2008. ISBN 978-0-387-71040-2.
ORAVEC, M. -- OMELINA, Ľ. Biometria – učebné texty. Bratislava: RT systems, 2013. ISBN 978-80-970519-6-9.
ORAVEC, M. -- PAVLOVIČOVÁ, J. Metódy strojového učenia na extrakciu príznakov a rozpoznávanie vzorov 2: Rozpoznávanie tvárí v biometrii. Bratislava: vydavateľstvo Felia, 2013. 179 p. ISBN 978-80-971512-0-1.

Bhanu,B., Kumar,A. (Eds.): Deep Learning for Biometrics, Springer, 2017
Dunstone,T., Yager,N.: Biometric System and Data Analysis - Design, Evaluation, and Data Mining, Springer 2009
IEEE Transactions on Biometrics, Behavior, and Identity Science
IEEE Transactions on Pattern Analysis and Machine Intelligence

Language of instruction:
slovak or english
Courses evaluation:
Assessed students in total: 385

8,6 %
15,3 %23,4 %
27,3 %
18,7 %6,7 %
Name of lecturer(s):
Ing. Zuzana Bukovčiková (instructor, tutor) - slovak, english
prof. Dr. Ing. Miloš Oravec (lecturer, person responsible for course) - slovak, english
Ing. Dominik Sopiak, PhD. (instructor, tutor) - slovak, english
Last modification:
19. 2. 2020
prof. Dr. Ing. Miloš Oravec and programme supervisor

Last modification made by RNDr. Marian Puškár on 02/19/2020.

Type of output: