Publication detail

Psoriasis Damage Simulation into Synthetic Fingerprint

KANICH, O. KOŠŤÁK, D. DRAHANSKÝ, M.

Original Title

Psoriasis Damage Simulation into Synthetic Fingerprint

Type

conference paper

Language

English

Original 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).

Keywords

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

Authors

KANICH, O.; KOŠŤÁK, D.; DRAHANSKÝ, M.

Released

19. 9. 2019

Publisher

GI - Group for computer science

Location

Darmstadt

ISBN

978-3-88579-690-9

Book

Proceedings 18th International Conference of the Biometrics Special Interest Group

Edition

Lecture Notes in Informatics

Pages from

205

Pages to

212

Pages count

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/"
}