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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

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Code Completion Credits Range Language
A6M33BIO KZ 4 2+2c Czech
Lecturer:
Daniel Novák (guarantor), Eduard Bakštein, Vojtěch Franc, Petr Pollák, Jakub Schneider
Tutor:
Daniel Novák (guarantor), Eduard Bakštein, Jakub Schneider
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:
http://cw.felk.cvut.cz/doku.php/courses/a6m33bio/start
Time-table for winter semester 2018/2019:
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
Mon
Tue
Fri
Thu
roomKN:E-112
Novák D.
Bakštein E.

09:15–10:45
(lecture parallel1)
Karlovo nám.
Cvičebna Vyčichlova
roomKN:E-220
Bakštein E.
Schneider J.

14:30–16:00
(lecture parallel1
parallel nr.101)

Karlovo nám.
Laboratoř PC
Fri
Time-table for summer semester 2018/2019:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-05-22
For updated information see http://bilakniha.cvut.cz/en/predmet1588806.html