• DocumentCode
    1827328
  • Title

    Cancelable fusion using Social Network Analysis

  • Author

    Paul, Padma Polash ; Gavrilova, Marina

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    1469
  • Lastpage
    1471
  • Abstract
    In this paper, novel cancelable biometric template generation algorithm using Social Network Analysis is presented. Two sets of features are fused using Social Network. Proposed fusion technique is cancelable. Eigenvector centrality is used to generate final sets of features from the Virtual Social Network (VSN). The domain transformation of features using VSN confirms the cancelability in biometric template generation.
  • Keywords
    biometrics (access control); eigenvalues and eigenfunctions; sensor fusion; social networking (online); VSN; cancelable biometric template generation algorithm; cancelable fusion; eigenvector centrality; social network analysis; virtual social network; Biometrics (access control); Conferences; Databases; Ear; Face; Security; Social network services; Cancelable Biometric; Cancelable Fusion; Eigenvector Centrality; Social Network Analysis; Template Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
  • Conference_Location
    Niagara Falls, ON
  • Type

    conf

  • Filename
    6785908
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1827328