Biometric Systems

1.

Subject title

Biometric Systems

Биометриски системи (Biometric Systems)

2.

Code

m23_w_048

3.

Study program

Data science in computer science and engineering, IT management, Bioinformatics, Cloud Computing, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Security, Cryptography and Coding, Software Engineering, Software Engineering,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Ивица Димитровски

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

The purpose of the course is to get acquainted with the basic principles used in biometric algorithms and systems. After completing the course candidates: will have deepened knowledge of advanced technologies and methods in biometric systems; You will be able to choose an appropriate algorithm and system for a given application context; will understand the complex relationships between biometric systems and environmental conditions (brightness, variations in the placement of objects of interest, etc.); You will have an understanding of the principles of privacy and their impact on the design and configuration of biometric systems.

11.

Subject content:

Introduction and basic concepts in biometric systems. History of biometric systems. Requirements and properties of biometric systems. Processing images and extracting visual features. Classification techniques. Recognizing fingerprints. Venous recognition. Recognition of persons. Recognition of 3D persons. Iris recognition. Multi-modal biometric systems. Evaluation schemes for biometric systems, performance testing and safety aspects. E-Pass. Privacy of data in biometric systems.

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + + 45 + 45 + 30 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

hours

16.

Other forms of activities

16.1.

Project tasks

45 hours

16.2.

Independent tasks

45 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

45 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

10 points

17.4.

Final exam

0 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

реализирани активности 15.1 и 15.2

20.

Language of instruction

Македонски и англиски

21.

Quality assurance method

Механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature