• DocumentCode
    2222006
  • Title

    GEC-based multi-biometric fusion

  • Author

    Alford, Aniesha ; Hansen, Caresse ; Dozier, Gerry ; Bryant, Kelvin ; Kelly, John ; Abegaz, Tamirat ; Ricanek, Karl ; Woodard, Damon L.

  • Author_Institution
    Center for Adv. Studies in Identity Sci., North Carolina A & T State Univ., Greensboro, NC, USA
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    2071
  • Lastpage
    2074
  • Abstract
    In this paper, we use Genetic and Evolutionary Computation (GEC) to optimize the weights assigned to the biometric modalities of a multi-biometric system for score-level fusion. Our results show that GEC-based multi-biometric fusion provides a significant improvement in the recognition accuracy over evenly fused biometric modalities, increasing the accuracy from 90.77% to 95.24%.
  • Keywords
    authorisation; biometrics (access control); genetic algorithms; security of data; sensor fusion; GEC based multibiometric fusion; evenly fused biometric modalities; genetic and evolutionary computation; score level fusion; Accuracy; Biometrics; Face; Face recognition; Feature extraction; Pixel; Probes; Eigenface; Fusion; Local Binary Pattern; Multi-Biometrics; Steady-State Genetic Algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949870
  • Filename
    5949870
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2222006