Thesis Details

Detekce a klasifikace poškození otisku prstu s využitím neuronových sítí

Bachelor's Thesis Student: Šalko Milan Academic Year: 2019/2020 Supervisor: Kanich Ondřej, Ing., Ph.D.

Language

Slovak

Abstract

The aim of this bachelor thesis is to study and design algorithm for detection of fingerprint damage caused by skin disease, specifically by wart and dyshidrosis. Symptome detection was implemented by convolutional neural network based on Keras framework. This network determine, which part of finger is damaged and in these areas will classify the disease. Combination of synthetic and real fingerprints was used to train the neural network.

Keywords

convolutional neural networks, fingerprints, warts, dyshidrosis, damage classification, damage location

Department

Department of Intelligent Systems FIT BUT

Degree Programme

Information Technology

Files

Status

defended, grade C

Date

8 July 2020

Reviewer

Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.

Committee

Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen

Citation

ŠALKO, Milan. Detekce a klasifikace poškození otisku prstu s využitím neuronových sítí. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-08. Supervised by Kanich Ondřej. Available from: https://www.fit.vut.cz/study/thesis/22567/

BibTeX

@bachelorsthesis{FITBT22567,
    author = "Milan \v{S}alko",
    type = "Bachelor's thesis",
    title = "Detekce a klasifikace po\v{s}kozen\'{i} otisku prstu s vyu\v{z}it\'{i}m neuronov\'{y}ch s\'{i}t\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/22567/"
}

Theses