Thesis Details

Generování čárových poškození do syntetického otisku prstu

Bachelor's Thesis Student: Jóriová Vanessa Academic Year: 2021/2022 Supervisor: Kanich Ondřej, Ing., Ph.D.
Language
Slovak
Abstract

Abstract The goal of this thesis is generation of line damage into synthetic fingerprint images. Creases, hair on sensor, and scars are specific damage chosen for generation. Attributes of all types of damage were analyzed in real fingerprint images and an algorithm for generation of this damage was proposed and implemented in Python. The quality of damaged fingerprints was evaluated by FiQiVi, the output of which is a percentage describing the quality of the fingerprint. VeriFinger was used to determine the effect on fingerprint matching, which is evaluated by a fingerprint matching score. Generation of damage into synthetic fingerprint images resulted in a decrease in both quality and fingerprint matching scores.

Keywords

synthetic fingerprints, generation of synthetic damage, creases, scars, hair on sensor

Department
Degree Programme
Files
Status
defended, grade A
Date
16 June 2022
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Musil Miloš, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
JÓRIOVÁ, Vanessa. Generování čárových poškození do syntetického otisku prstu. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Kanich Ondřej. Available from: https://www.fit.vut.cz/study/thesis/25005/
BibTeX
@bachelorsthesis{FITBT25005,
    author = "Vanessa J\'{o}riov\'{a}",
    type = "Bachelor's thesis",
    title = "Generov\'{a}n\'{i} \v{c}\'{a}rov\'{y}ch po\v{s}kozen\'{i} do syntetick\'{e}ho otisku prstu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/25005/"
}
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