Thesis Details

Generování projevu kožního onemocnění do syntetických otisků prstů z generátoru SFinGe

Bachelor's Thesis Student: Wildmann Radek Academic Year: 2018/2019 Supervisor: Kanich Ondřej, Ing., Ph.D.
English title
Generation of Skin Disease Effects into Synthetic Fingerprints from SFinGe Generator
Language
Czech
Abstract

This thesis discuss the topic of generation of skin disease effects, psoriasis and colagenosis into synthetic fingerprints from SFinGe generator. Thesis includes theoretical as well as practical approach of the topic including implementation design, program implementation and experiment results. SFinGe approach is used to generate fingerprints. Python (2.7.6) is used to implement algorithm for image processing and generating disease symptoms with OpenCV, Matplotlib, NumPy and SciPy libraries. For results evaluation, NFIQ standard and Oravec approach are used. The application is able to generate fingerprint image with symptoms of psoriasis or colagenosis, therefore it can be used for futher research with biometric systems.

Keywords

skin disease, syntetic fingerprints, SFinGe, psoriasis vulgaris, collagenosis, image processing

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
12 June 2019
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Citation
WILDMANN, Radek. Generování projevu kožního onemocnění do syntetických otisků prstů z generátoru SFinGe. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-12. Supervised by Kanich Ondřej. Available from: https://www.fit.vut.cz/study/thesis/22091/
BibTeX
@bachelorsthesis{FITBT22091,
    author = "Radek Wildmann",
    type = "Bachelor's thesis",
    title = "Generov\'{a}n\'{i} projevu ko\v{z}n\'{i}ho onemocn\v{e}n\'{i} do syntetick\'{y}ch otisk\r{u} prst\r{u} z gener\'{a}toru SFinGe",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22091/"
}
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