• DocumentCode
    2207251
  • Title

    GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition

  • Author

    Dozier, Gerry ; Purrington, Kamilah ; Popplewell, Khary ; Shelton, Joseph ; Abegaz, Tamirat ; Bryant, Kelvin ; Adams, Joshua ; Woodard, Damon L. ; Miller, Philip

  • Author_Institution
    Dept. of Comput. Sci., North Carolina A&T State Univ., Greensboro, NC, USA
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    In this paper, we introduce the concept of genetic & evolutionary feature selection (GEFeS) for periocular biometric recognition. Our results show that GEFeS dramatically reduces the number of features needed for periocular recognition as well as increases recognition accuracy.
  • Keywords
    biometrics (access control); feature extraction; genetic algorithms; object recognition; GEFeS; evolutionary feature selection; genetic feature selection; periocular biometric recognition; Integrated circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Biometrics and Identity Management (CIBIM), 2011 IEEE Workshop on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9899-4
  • Type

    conf

  • DOI
    10.1109/CIBIM.2011.5949211
  • Filename
    5949211
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2207251