# Subject description - A6M33BIO

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A6M33BIO Biometrie
Roles:  Extent of teaching:2P+2C
Department:13133 Language of teaching:CS
Guarantors:Novák D. Completion:KZ
Lecturers:Bakštein E., Franc V., Novák D., Pollák P. Credits:4
Tutors:Bakštein E., Konicarová C., Novák D., Pradhan B. Semester:Z

Web page:

https://cw.fel.cvut.cz/wiki/courses/A6M33BIO

Anotation:

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.

Content:

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.

Exercises outline:

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.

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.

Requirements:

Mathematics I

Keywords:

classification, recognition of finger-print, pupil, signature,

Subject is included into these academic programs:

 Program Branch Role Recommended semester

 Page updated 14.9.2024 17:51:09, semester: L/2023-4, Z,L/2024-5, Z/2023-4, Z/2025-6, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)