Novel metrics for face recognition using local binary patterns

  • Authors:
  • Len Bui;Dat Tran;Xu Huang;Girija Chetty

  • Affiliations:
  • Faculty of Information Sciences and Engineering, University of Canberra, ACT, Australia;Faculty of Information Sciences and Engineering, University of Canberra, ACT, Australia;Faculty of Information Sciences and Engineering, University of Canberra, ACT, Australia;Faculty of Information Sciences and Engineering, University of Canberra, ACT, Australia

  • Venue:
  • KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
  • Year:
  • 2011

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Abstract

The paper presents a novel approach to face recognition using Local Binary Patterns (LBP) with the novel soft chi square and soft power metrics. Results of intensive experiments on two public databases, FERET and AT&T, show that these new metrics are efficient and flexible for real-time face recognition applications. They can reduce time performance and also achieve high recognition rate.