IDEAS home Printed from https://ideas.repec.org/a/adp/jbboaj/v2y2017i1p7-10.html
   My bibliography  Save this article

GPU Processing for Biometric Big Data Based Identification. Why and what for?

Author

Listed:
  • Miguel Lastra

    (Department of Software Engineering, University of Granada, Spain)

  • Pablo D Gutiérrez

    (Department of Computer Science & Artificial Intelligence, University of Granada, Spain)

  • José M Benítez

    (Department of Computer Science & Artificial Intelligence, University of Granada, Spain)

  • Francisco Herrera

    (Department of Computer Science & Artificial Intelligence, University of Granada, Spain)

Abstract

The identification of people by means of biometric features has been an active research topic before computers started being used for such tasks. The scale of problems than can be addressed by the use of personal computers or computer clusters has grown but there are still real-world scenarios where the biometric features database cannot be processed in real time.

Suggested Citation

  • Miguel Lastra & Pablo D Gutiérrez & José M Benítez & Francisco Herrera, 2017. "GPU Processing for Biometric Big Data Based Identification. Why and what for?," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 2(1), pages 7-10, May.
  • Handle: RePEc:adp:jbboaj:v:2:y:2017:i:1:p:7-10
    DOI: 10.19080/BBOAJ.2017.02.555577
    as

    Download full text from publisher

    File URL: https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555577.pdf
    Download Restriction: no

    File URL: https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555577.php
    Download Restriction: no

    File URL: https://libkey.io/10.19080/BBOAJ.2017.02.555577?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adp:jbboaj:v:2:y:2017:i:1:p:7-10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Robert Thomas (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.