Detail publikace

Psoriasis Damage Simulation into Synthetic Fingerprint

KANICH, O. KOŠŤÁK, D. DRAHANSKÝ, M.

Originální název

Psoriasis Damage Simulation into Synthetic Fingerprint

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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).

Klíčová slova

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

Autoři

KANICH, O.; KOŠŤÁK, D.; DRAHANSKÝ, M.

Vydáno

19. 9. 2019

Nakladatel

GI - Group for computer science

Místo

Darmstadt

ISBN

978-3-88579-690-9

Kniha

Proceedings 18th International Conference of the Biometrics Special Interest Group

Edice

Lecture Notes in Informatics

Strany od

205

Strany do

212

Strany počet

8

URL

https://www.fit.vut.cz/research/publication/11258/

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/"
}