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Local entropy-based adaptive-weight LBP for face recognition

Jiang Xiaoping, Ren Guangxing, Zhang hua


To increase the success rate of face recognition, a local entropy-based adaptive-weight Local Binary Patterns (LBP) for face recognition is proposed in this paper. The entropies of different facial regions are adopted to define the contributions of different facial regions for face recognition adaptively, and then, weight-based method is adopted for face recognition in this paper. Simulation results show that this method has a high success rate of face recognition.


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  • CASS
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  • Infrastructure nationale du savoir de Chine (CNKI)
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  • Cosmos SI
  • Répertoire d’indexation des revues de recherche (DRJI)
  • Laboratoires secrets des moteurs de recherche
  • Euro Pub
  • ICMJE

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