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Psoriasis Damage Simulation into Synthetic Fingerprint

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134145" target="_blank" >RIV/00216305:26230/19:PU134145 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/11258/" target="_blank" >https://www.fit.vut.cz/research/publication/11258/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Psoriasis Damage Simulation into Synthetic Fingerprint

  • Original language description

    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).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings 18th International Conference of the Biometrics Special Interest Group

  • ISBN

    978-3-88579-690-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    205-212

  • Publisher name

    GI - Group for computer science

  • Place of publication

    Darmstadt

  • Event location

    Darmstadt

  • Event date

    Sep 18, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000682778500006