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
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;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
