Thesis Details

Generování hodnověrných pozadí obrázků latentních otisků prstů

Bachelor's Thesis Student: Gajda Adam Academic Year: 2021/2022 Supervisor: Kanich Ondřej, Ing., Ph.D.
English title
Generation of Authentic Latent Fingerprints Background
Language
Czech
Abstract

This bachelor's thesis deals with the generation of authentic latent fingerprint backgrounds, through the use of deep learning, more specifically with the help of conditional generative adversarial network and other more conventional methods. This work summarizes the basic theoretical information about biometrics including synthetic fingerprints and a introduction into artificial intelligence. The main model proposed in this thesis has not come into fruition due to lack of unique training data. Other possible reasons were discussed. Thus an alternative way of generating latent fingerprint backgrounds was developed and after visual evaluation of the final results and real data the conclusion was positive.

Keywords

latent fingerprint background, generating fingerprint background, deep neural networks, CGAN

Department
Degree Programme
Files
Status
not defended
Date
14 June 2022
Reviewer
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
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
GAJDA, Adam. Generování hodnověrných pozadí obrázků latentních otisků prstů. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Kanich Ondřej. Available from: https://www.fit.vut.cz/study/thesis/23630/
BibTeX
@bachelorsthesis{FITBT23630,
    author = "Adam Gajda",
    type = "Bachelor's thesis",
    title = "Generov\'{a}n\'{i} hodnov\v{e}rn\'{y}ch pozad\'{i} obr\'{a}zk\r{u} latentn\'{i}ch otisk\r{u} prst\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23630/"
}
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