Thesis Details

Rozpoznávání onemocnění kůže na prstech lidské ruky

Bachelor's Thesis Student: Šesták Martin Academic Year: 2015/2016 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
English title
Recognition of Skin Diseases on Fingers of a Human Hand
Language
Czech
Abstract

This bachelor thesis deals with the design of methods and application for recognition of the fingerprints from diseased and healthy fingers and the subsequent detection of selected diseases. The first part describes basic principles of biometrics, introduction to fingerprints and their processing, and introduction to the topic of fingerprints affected by skin diseases. The next section describes the implementation of the application and its results. The application was tested on a database of research group STRaDe, from the Department of Intelligent Systems, Faculty of Information Technology,  Brno University of Technology, which contains approximately 380 test fingerprints.

Keywords

biometrics, fingerprint, skin disease, papillary ridges, image processing, orientation field, detection, classification, OpenCV

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
15 June 2016
Reviewer
Orság Filip, Ing., Ph.D.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
ŠESTÁK, Martin. Rozpoznávání onemocnění kůže na prstech lidské ruky. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-15. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/18372/
BibTeX 
@bachelorsthesis{FITBT18372,
    author = "Martin \v{S}est\'{a}k",
    type = "Bachelor's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} onemocn\v{e}n\'{i} k\r{u}\v{z}e na prstech lidsk\'{e} ruky",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18372/"
}

Theses

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