Decision fusion based on voting scheme for IR and visible face recognition

  • Authors:
  • M. D. Shahbe;S. Hati

  • Affiliations:
  • Faculty of Information Technology, Multimedia University, Cyberjaya, Malaysia;Faculty of Information Technology, Multimedia University, Cyberjaya, Malaysia

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2008

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Abstract

In this paper we present an evaluation study of decision fusion strategies for infrared (IR) and visible face recognition. Several decision fusion methods based on a voting scheme (minimization, product and averaging) are discussed, and experiments for various conditions of probe and gallery sets are performed on two databases with paired IR and visible face imageries. The Eigenfaees and Fisherface classification techniques are used to extract the face features, and the performance of fusion methods on both classification approaches is discnssed.