Thesis Details

Detekce a klasifikace poškození otisku prstu s využitím neuronových sítí

Master's Thesis Student: Vican Peter Academic Year: 2020/2021 Supervisor: Kanich Ondřej, Ing., Ph.D.
Language
Slovak
Abstract

The aim of this diploma thesis is to study and design experimental improvement of the convolutional neural network for disease detection. Another goal is to extend the classifier with a new type of detection. he new type of detection is damage fingerprint by pressure. The experimentally improved convolutional network is implemented by PyTorch. The network detects which part of the fingerprint is damaged and draws this part into the fingerprint. Synthetic fingerprints are used when training the net. Real fingerprints are added to the synthetic fingerprints.

Keywords

fingerprint, damage and detection, convolutional neural networks, dyshidrosis, warts, PyTorch, Keras, python, metacentrum, pressure, psoriasis

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology, Field of Study Information Technology Security
Files
Status
not defended
Date
23 June 2021
Reviewer
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Committee
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), předseda
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS FIT BUT), člen
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), člen
Citation
VICAN, Peter. Detekce a klasifikace poškození otisku prstu s využitím neuronových sítí. Brno, 2021. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-23. Supervised by Kanich Ondřej. Available from: https://www.fit.vut.cz/study/thesis/23903/
BibTeX 
@mastersthesis{FITMT23903,
    author = "Peter Vican",
    type = "Master'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 = 2021,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/23903/"
}

Theses

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