• DocumentCode
    1402866
  • Title

    Genetic Algorithms Applied in Face Recognition

  • Author

    Medeiros, L.X. ; Carrijo, G.A. ; Flores, Edna Lucia ; Veiga, A.C.P.

  • Author_Institution
    Univ. Fed. do Triangulo Mineiro (UFTM), Uberaba, Brazil
  • Volume
    10
  • Issue
    6
  • fYear
    2012
  • Firstpage
    2280
  • Lastpage
    2285
  • Abstract
    Face recognition methods are computationally very expensive and use too much memory and processing time. An example of a method that allocates many computer resources is the Principal Component Analysis (PCA). In order to reduce processing time, was developed in this paper a method using only genetic algorithms to perform face recognition and comparison in the PCA method obtains higher accurate rates and less processing time.
  • Keywords
    face recognition; genetic algorithms; principal component analysis; PCA method; computer resources; face recognition method; genetic algorithm; principal component analysis; Face recognition; Genetic algorithms; Principal component analysis; PCA; face recognition; genetic algorithms; principal component;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2012.6418133
  • Filename
    6418133
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1402866