Thesis Details
Analýza systémů pro měření kvality otisku prstů
The aim of this work is to improve the process of determining fingerprint quality by Fingerprint Quality Visualizer (FQV). Mutual comparison of existing programs NIST Fingerprint Image Quality 2.0 and Neurotechnology VeriFinger has proved that FQV is worse in processing of extremely small fingerprints. Therefore, the procedure which estimates the number of minutiae in fingerprint based on its real size has been designed and implemented as an improvement. The final testing has proved that the implemented method works for the selected fingerprint collection. This approach can be an alternative to complex searching and accurate minutiae counting.
Fingerprint, Fingerprint quality, Minutiae count, Fingerprint size, NFIQ, NFIQ 2.0, VeriFinger
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Trchalík Roman, Mgr., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT19344, author = "David Dejmal", type = "Bachelor's thesis", title = "Anal\'{y}za syst\'{e}m\r{u} pro m\v{e}\v{r}en\'{i} kvality otisku prst\r{u}", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/19344/" }