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Publication detail
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/" }