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Contactless biometric hand geometry recognition using a low-cost 3D camera

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116977" target="_blank" >RIV/00216305:26230/15:PU116977 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICB.2015.7139109" target="_blank" >http://dx.doi.org/10.1109/ICB.2015.7139109</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICB.2015.7139109" target="_blank" >10.1109/ICB.2015.7139109</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Contactless biometric hand geometry recognition using a low-cost 3D camera

  • Original language description

    In the past decade, the interest in using 3D data for biometric person authentication has increased significantly, propelled by the availability of affordable 3D sensors. The adoption of 3D features has been especially successful in face recognition applications, leading to several commercial 3D face recognition products. In other biometric modalities such as hand recognition, several studies have shown the potential advantage of using 3D geometric information, however, no commercial-grade systems are currently available. In this paper, we present a contactless 3D hand recognition system based on the novel Intel RealSense camera, the first mass-produced embeddable 3D sensor. The small form factor and low cost make this sensor especially appealing for commercial biometric applications, however, they come at the price of lower resolution compared to more expensive 3D scanners used in previous research. We analyze the robustness of several existing 2D and 3D features that can be extracted from the images captured by the RealSense camera and study the use of metric learning for their fusion.

  • 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/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</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

    2015

  • 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 2015 International Conference on Biometrics

  • ISBN

    978-1-4799-7824-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    452-457

  • Publisher name

    IEEE Biometric Council

  • Place of publication

    Phuket

  • Event location

    Phuket

  • Event date

    May 19, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000380516600070