Identity verification based on haptic handwritten signatures: Genetic programming with unbalanced data

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Alsulaiman:2012:CISDA,
  author =       "Fawaz A. Alsulaiman and Julio J. Valdes and 
                 Abdulmotaleb {El Saddik}",
  booktitle =    "Computational Intelligence for Security and Defence
                 Applications (CISDA), 2012 IEEE Symposium on",
  title =        "Identity verification based on haptic handwritten
                 signatures: Genetic programming with unbalanced data",
  year =         "2012",
  DOI =          "doi:10.1109/CISDA.2012.6291531",
  abstract =     "In this paper, haptic-based handwritten signature
                 verification using Genetic Programming (GP)
                 classification is presented. The relevance of different
                 haptic data types (e.g., force, position, torque, and
                 orientation) in user identity verification is
                 investigated. In particular, several fitness functions
                 are used and their comparative performance is
                 investigated. They take into account the unbalance
                 dataset problem (large disparities within the class
                 distribution), which is present in identity
                 verification scenarios. GP classifiers using such
                 fitness functions compare favourably with classical
                 methods. In addition, they lead to simple equations
                 using a much smaller number of attributes. It was found
                 that collectively, haptic features were approximately
                 as equally important as visual features from the point
                 of view of their contribution to the identity
                 verification process.",
  keywords =     "genetic algorithms, genetic programming, handwriting
                 recognition, haptic interfaces, image classification,
                 GP classification, GP classifiers, fitness functions,
                 genetic programming classification, haptic data types,
                 haptic features, haptic-based handwritten signature
                 verification, unbalance dataset problem, user identity
                 verification, visual features, Biological cells,
                 Biometrics, Force, Gene expression, Haptic interfaces,
                 Vectors",
  notes =        "Also known as \cite{6291531}",
}

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

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