Publication Details

Psoriasis Damage Simulation into Synthetic Fingerprint

KANICH, O.; KOŠŤÁK, D.; DRAHANSKÝ, M. Psoriasis Damage Simulation into Synthetic Fingerprint. In Proceedings 18th International Conference of the Biometrics Special Interest Group. Lecture Notes in Informatics. Darmstadt: GI - Group for computer science, 2019. p. 205-212. ISBN: 978-3-88579-690-9.
Czech title
Simulace poškození lupénkou do syntetického otisku prstu
Type
conference paper
Language
English
Authors
Kanich Ondřej, Ing., Ph.D. (FIT)
Košťák David, Bc.
Drahanský Martin, prof. Ing., Ph.D.
Keywords

synthetic fingerprint, psoriasis, skin diseases, damage simulation, machine
learning

Abstract

The goal of this article is to describe method for simulation of damage done by
psoriasis. Designed method is based on extracting subjects from real images and
then including them into synthetic images. Images are damaged by six different
settings. Each setting represents different level of disease severity. Results
were verified by visual comparison with real images, consultation with medical
doctor, quality measurement methods (NFIQ, VeriFinger, Oravec), and comparison
score (VeriFinger). The most severe damage achieved median score of 38% (from the
reference).

Published
2019
Pages
205–212
Proceedings
Proceedings 18th International Conference of the Biometrics Special Interest Group
Series
Lecture Notes in Informatics
Conference
18th International Conference of the Biometrics Special Interest Group, Darmstadt, DE
ISBN
978-3-88579-690-9
Publisher
GI - Group for computer science
Place
Darmstadt
UT WoS
000682778500006
EID Scopus
2-s2.0-85075890795
BibTeX 
@inproceedings{BUT159962,
  author="Ondřej {Kanich} and David {Košťák} and Martin {Drahanský}",
  title="Psoriasis Damage Simulation into Synthetic Fingerprint",
  booktitle="Proceedings 18th International Conference of the Biometrics Special Interest Group",
  year="2019",
  series="Lecture Notes in Informatics",
  pages="205--212",
  publisher="GI - Group for computer science",
  address="Darmstadt",
  isbn="978-3-88579-690-9",
  url="https://www.fit.vut.cz/research/publication/11258/"
}
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