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Biometric systems based on facial features and their reliability

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F16%3A71022" target="_blank" >RIV/60460709:41310/16:71022 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Biometric systems based on facial features and their reliability

  • Original language description

    Today, user identification based on biometrics is a very topical issue. The most widespread methods of identification include: fingerprints, identification based on face recognition and bloodstream scans. For testing, systems were selected that identify a person based on facial features. Testing showed errors in these readers under both standard and difficult conditions. Difficult conditions that we frequently encounter in everyday life were chosen. In the test of biometric identification systems the probability of erroneous user acceptance and probability of false rejection of the user was calculated and shown graphically. Wrong user acceptance was based on unfavorable conditions. Unfavorable conditions were: pollution with dark oil, pollution with soil, pollution with makeup, pollution with soot, pollution with black coal, pollution with paints. Another problem is the surrounding environment of the scanner device, in particular light conditions. The testing demonstrated that it is necessary to cond

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    15th International Scientific Conference on Engineering for Rural Development

  • ISBN

  • ISSN

    16913043

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    488-492

  • Publisher name

    Latvia University of Agriculture

  • Place of publication

    Latvia University of Agriculture

  • Event location

    Jelgava; Latvia

  • Event date

    Mar 25, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article