Thesis Details

Rekonstrukce poškozené části otisku prstů s využitím neuronových sítí

Master's Thesis Student: Halinár Michael Academic Year: 2019/2020 Supervisor: Kanich Ondřej, Ing., Ph.D.
Language
Slovak
Abstract

This thesis deals with the issue of reconstruction of damaged fingerprints using artificial neural networks. At first, the fingerprint structure is analyzed, after that, the methods that can be used to improve fingerprint quality are described. An introduction to neural networks is given for understanding the basics of artificial neural networks. After choosing the right architecture for the neural networks, the process of its learning is described. A simple graphic user interface was created for this application, which is able to reconstruct synthetic fingerprints damaged by various warts. Another neural net can detect the location of wart. Tests have proven an increase in the quality of fingerprint by 43,5 % in the dataset with ten inserted warts on each fingerprint. The matching score was increased by 6,5 % on this particular dataset.

Keywords

convolutional neural network, fingerprint, fingerprint reconstruction, synthetic fingerprint, wart, image processing

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade D
Date
17 July 2020
Reviewer
Tinka Jan, Ing.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Citation
HALINÁR, Michael. Rekonstrukce poškozené části otisku prstů s využitím neuronových sítí. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-17. Supervised by Kanich Ondřej. Available from: https://www.fit.vut.cz/study/thesis/21590/
BibTeX 
@mastersthesis{FITMT21590,
    author = "Michael Halin\'{a}r",
    type = "Master's thesis",
    title = "Rekonstrukce po\v{s}kozen\'{e} \v{c}\'{a}sti otisku prst\r{u} 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/21590/"
}

Theses

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