Template Selection by Editing Algorithms: A Case Study in Face Recognition

  • Authors:
  • Biagio Freni;Gian Luca Marcialis;Fabio Roli

  • Affiliations:
  • Department of Electrical and Electronic Engineering Piazza d'Armi, University of Cagliari, Cagliari, (Italy) I-09123;Department of Electrical and Electronic Engineering Piazza d'Armi, University of Cagliari, Cagliari, (Italy) I-09123;Department of Electrical and Electronic Engineering Piazza d'Armi, University of Cagliari, Cagliari, (Italy) I-09123

  • Venue:
  • SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
  • Year:
  • 2008

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Abstract

In this paper, we consider the problem of template selection in biometric systems as analogous to the problem, called "editing", of selecting representative prototypes when using the 1-Nearest Neighbour classifier (NN). Four editing algorithms are used and compared by experiments with state-of-the-art template selection algorithms. Experiments are performed on a benchmark face data set. Reported results show pros and cons of editing algorithms for template selection in biometric systems.