Identity verification based on haptic handwritten Signature: Novel fitness functions for GP framework

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Alsulaiman:2013:HAVE,
  author =       "Fawaz A. Alsulaiman and Julio J. Valdes and 
                 Abdulmotaleb {El Saddik}",
  booktitle =    "IEEE International Symposium on Haptic Audio Visual
                 Environments and Games (HAVE 2013)",
  title =        "Identity verification based on haptic handwritten
                 Signature: Novel fitness functions for GP framework",
  year =         "2013",
  month =        oct,
  pages =        "98--102",
  keywords =     "genetic algorithms, genetic programming, handwriting
                 recognition, haptic interfaces, GP framework,
                 evolutionary processes, false rejection rate, haptic
                 based handwritten signatures, identity verification,
                 novel fitness functions, Accuracy, Educational
                 institutions, Evolutionary computation, Gene
                 expression, Haptic interfaces, Programming",
  DOI =          "doi:10.1109/HAVE.2013.6679618",
  size =         "5 pages",
  abstract =     "Fitness functions are the evaluation measures driving
                 evolutionary processes towards solutions. In this
                 paper, three fitness functions are proposed for solving
                 the unbalanced dataset problem in Haptic-based
                 handwritten signatures using genetic programming (GP).
                 The use of these specifically designed fitness
                 functions produced simpler analytical expressions than
                 those obtained with currently available fitness
                 measures, while keeping comparable classification
                 accuracy. The functions introduced in this paper
                 capture explicitly the nature of unbalanced data,
                 exhibit better dimensionality reduction and have better
                 False Rejection Rate.",
  notes =        "Also known as \cite{6679618}",
}

Genetic Programming entries for Fawaz A Alsulaiman Julio J Valdes Abdulmotaleb El Saddik

Citations