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Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116962" target="_blank" >RIV/00216305:26230/15:PU116962 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7103330" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7103330</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/THMS.2015.2412944" target="_blank" >10.1109/THMS.2015.2412944</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Biometric-Enabled Authentication Machines: A Survey of Open-Set Real-World Applications

  • Original language description

    This paper revisits the concept of an authentication machine (A-machine) that aims at identifying/verifying humans. Although A-machines in the closed-set application scenario are well understood and commonly used for access control utilizing human biometrics (face, iris, and fingerprints), open-set applications of A- machines have yet to be equally characterized. This paper presents an analysis and taxonomy of A-machines, trends, and challenges of open-set real-world applications. This paper makes the following contributions to the area of open-set A-machines: 1) a survey of applications; 2) new novel life cycle metrics for theoretical, predicted, and operational performance evaluation; 3) a new concept of evidence accumulation for risk assessment; 4) new criteria for the comparison of A-machines based on the notion of a supporting assistant; and 5) a new approach to border personnel training based on the A-machine training mode. It offers a technique for modeling A-machines using belief (Bayesian) networks and provides an example of this technique for biometric-based e-profiling.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

  • Name of the periodical

    IEEE Transactions on Human-Machine Systems

  • ISSN

    2168-2291

  • e-ISSN

    2168-2305

  • Volume of the periodical

    46

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    2168-2291

  • UT code for WoS article

    000372841200007

  • EID of the result in the Scopus database

    2-s2.0-84929017926