A Genetic Programming-PCA Hybrid Face Recognition Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Behzad Bozorgtabar and Gholam Ali Rezai Rad",
  title =        "A Genetic Programming-{PCA} Hybrid Face Recognition
  journal =      "Journal of Signal and Information Processing",
  year =         "2011",
  volume =       "2",
  number =       "3",
  pages =        "170--174",
  publisher =    "Scientific Research Publishing",
  keywords =     "genetic algorithms, genetic programming, face
                 recognition, principal component analysis, leveraging
  ISSN =         "21594465",
  broken =       "http://www.doaj.org/doaj?func=openurl\&genre=article\&issn=21594465\&date=2011\&volume=02\&issue=03\&spage=170",
  DOI =          "doi:10.4236/jsip.2011.23022",
  size =         "5 pages",
  abstract =     "Increasing demand for a fast and reliable face
                 recognition technology has obliged researchers to try
                 and examine different pattern recognition schemes. But
                 until now, Genetic Programming (GP), acclaimed pattern
                 recognition, data mining and relation discovery
                 methodology, has been neglected in face recognition
                 literature. This paper tries to apply GP to face
                 recognition. First Principal Component Analysis (PCA)
                 is used to extract features, and then GP is used to
                 classify image groups. To further improve the results,
                 a leveraging method is also used. It is shown that
                 although GP might not be efficient in its isolated
                 form, a leveraged GP can offer results comparable to
                 other Face recognition solutions.",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:99426617eefcb9ce06c76152e081e501",

Genetic Programming entries for Behzad Bozorgtabar Rezai Rad Gholam-Ali