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B232 - Summer 23/24
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- A6M33BIO
| Credits | 4 |
| Semesters | Winter |
| Completion | Graded Assessment |
| Language of teaching | Czech |
| Extent of teaching | 2P+2C |
Annotation
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 targets
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.
Course outlines
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.
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.
Exercises outlines
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.
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.
Literature
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.
Kung, S.: Biometric Authentication-A machine Learning Approach, Prentice Hall, 2005.
Bhanu, B.: Computational Algorithm for Fingerprint Recognition, Kluwer Academic Publishers, 2004.
Requirements
Mathematics I