CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
Code Completion Credits Range Language
A6M33BIO KZ 4 2P+2C Czech
Garant předmětu:
Daniel Novák
Lecturer:
Eduard Bakštein, Vojtěch Franc, Jan Macek, Daniel Novák, Petr Pollák
Tutor:
Eduard Bakštein, Cheng Kang, Daniel Novák, Ihor Varha
Supervisor:
Department of Cybernetics
Synopsis:

The course focuses on introduction of basic principles of methods mostly used in biometry. It discuss security issues of biometrical systems. For every biometrical system, the evaluation of speed, price and accuracy is given. The course covers also the field of securing the biometrical systems, including the mostly used cryptographical methods.

Requirements:

Mathematics I

Syllabus of lectures:

1. Biometry: introduction, economical aspect, basic biometric features.

2. Integration, evaluation of biometric systems, biometric standards.

3. Finger-prints, history, registration, preprocessing, feature extraction (minutiae) I.

4. Feature extraction (minutiae) II., finger-print analysis.

5. Signature in biometrics

6. Extraction and classification of pupil.

7. Extraction and classification of pupil - case study.

8. Face recognition - feature extraction

9. Face recognition - classification

10. Biometric systems based on speech recognition - kepstral analysis

11. Biometric systems based on speech recognition - Markovs models

12. Classification and indexing in biometric systems

13. Encryption in biometric systems, falsifications.

14. Reserve.

Syllabus of tutorials:

Students will solve independently three tasks:

1) finger-print recognition

2) signature recognition

3) pupil recognition

In case of interest, students may register their finger-print, signature or picture of pupil. The tasks are processed in MATLAB, for each sub-task, prepared scripts are provided.

Study Objective:

The course focuses on introduction of basic principles of methods mostly used in biometry. It discuss security issues of biometrical systems. For every biometrical system, the evaluation of speed, price and accuracy is given. The course covers also the field of securing the biometrical systems, including the mostly used cryptographical methods.

Study materials:

Maltoni, D.: Handbook of fingerprint recognition, Springer, 2005.

Kung, S.: Biometric Authentication-A machine Learning Approach, Prentice Hall, 2005.

Bhanu, B.: Computational Algorithm for Fingerprint Recognition, Kluwer Academic Publishers, 2004.

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/A6M33BIO
Time-table for winter semester 2023/2024:
 06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00 roomKN:E-127Novák D.Bakštein E.14:30–16:00(lecture parallel1)Karlovo nám.Kotkova cvičebna K4roomKN:E-230Bakštein E.Varha I.16:15–17:45(lecture parallel1parallel nr.101)Karlovo nám.Laboratoř PC roomKN:E-112Novák D.Bakštein E.14:30–16:00(lecture parallel1)Karlovo nám.Cvičebna Vyčichlova
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-05-18
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet1588806.html