Loading...

A constructive genetic algorithm for LBP in face recognition

Nazari, A ; Sharif University of Technology

482 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/PRIA.2017.7983043
  3. Abstract:
  4. LBP coefficients are essential and determine the priority of gray differences. The objectives of this paper are to reveal this and propose a method for finding an optimal priority through the genetic algorithm. On the other hand, the genetic operators such as initialization and cross-over operators, generate invalid coefficients, defective chromosomes. This paper also recommends a rectifying method for correcting defective chromosomes. Results on the FERET and Extended Yale B datasets indicate that the proposed method has markedly higher recognition rates than LBP. © 2017 IEEE
  5. Keywords:
  6. Genetic algorithm ; Local binary pattern ; Chromosomes ; Genetic algorithms ; Image analysis ; Constructive operator ; Cross over ; Genetic operators ; Local binary patterns ; Face recognition
  7. Source: 3rd International Conference on Pattern Analysis and Image Analysis, IPRIA 2017, 19 April 2017 through 20 April 2017 ; 2017 , Pages 182-188 ; 9781509064540 (ISBN)
  8. URL: https://ieeexplore.ieee.org/document/7983043