Thesis Details

Biometrická brána využívající kamer pro identifikaci osob

Master's Thesis Student: Jelen Vilém Academic Year: 2018/2019 Supervisor: Goldmann Tomáš, Ing.
English title
Biometric Gateway Using Camera to Identify People
Language
Czech
Abstract

Biometric gateways are used to quickly and accurately identify people. Of the biometric characteristics, iris, face and fingerprints are commonly used. By combining them, better identification results can be achieved. The aim of this thesis is to create such a biometric gateway together with the control application. A combination of iris of both eyes and face is used, which is captured by cameras from three angles to increase accuracy. Neural networks are used to detect and extract face features. Iris recognition is realized using Daugman's algorithm.

Keywords

iris recognition, face recognition, person identification, identification, biometric gateway, automated border control, biometrics, iris, face, recognition, Daugman's algorithm, OpenCV, Dlib

Department
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade B
Date
20 June 2019
Reviewer
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Šeda Miloš, prof. RNDr. Ing., Ph.D. (FME BUT), člen
Citation
JELEN, Vilém. Biometrická brána využívající kamer pro identifikaci osob. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-20. Supervised by Goldmann Tomáš. Available from: https://www.fit.vut.cz/study/thesis/21851/
BibTeX
@mastersthesis{FITMT21851,
    author = "Vil\'{e}m Jelen",
    type = "Master's thesis",
    title = "Biometrick\'{a} br\'{a}na vyu\v{z}\'{i}vaj\'{i}c\'{i} kamer pro identifikaci osob",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21851/"
}
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