Face Detection by Hybrid Genetic and Ant Colony Optimization Algorithm

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

  author =       "S. Venkatesan and S. Srinivasa Rao Madane",
  title =        "Face Detection by Hybrid Genetic and Ant Colony
                 Optimization Algorithm",
  journal =      "International Journal of Computer Applications",
  year =         "2010",
  volume =       "9",
  number =       "4",
  pages =        "8--13",
  month =        nov,
  publisher =    "Foundation of Computer Science",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, feature extraction, ACOG
                 algorithm, ant colony optimisation",
  ISSN =         "0975-8887",
  bibsource =    "OAI-PMH server at www.doaj.org",
  oai =          "oai:doaj-articles:5731535eddfcad8df84d2275b68417d8",
  source =       "International Journal of Computer Applications",
  URL =          "http://www.ijcaonline.org/volume9/number4/pxc3871854.pdf",
  size =         "6 pages",
  abstract =     "Over the last Twenty years, several different
                 techniques have been proposed for computer recognition
                 of human faces. The localisation of human faces in
                 digital images is a fundamental step in the process of
                 face recognition. In this paper, a Hybrid algorithm is
                 proposed to detect faces using Ant Colony Optimization
                 and Genetic programming algorithms. Evolutionary
                 process of Ant Colony Optimisation algorithm adapts
                 genetic operations to enhance ant movement towards
                 solution state. The algorithm converges to the optimal
                 final solution, by accumulating the most effective

Genetic Programming entries for S Venkatesan S Srinivasa Rao Madane