Thesis Details
Generování hodnověrných pozadí obrázků latentních otisků prstů
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.
latent fingerprint background, generating fingerprint background, deep neural networks, CGAN
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
@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/"
}