Genetic programming for multibiometrics

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@Article{Giot20121837,
  author =       "Romain Giot and Christophe Rosenberger",
  title =        "Genetic programming for multibiometrics",
  journal =      "Expert Systems with Applications",
  volume =       "39",
  number =       "2",
  pages =        "1837--1847",
  year =         "2012",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2011.08.066",
  URL =          "http://www.sciencedirect.com/science/article/pii/S095741741101178X",
  keywords =     "genetic algorithms, genetic programming,
                 Multibiometrics, Score fusion, Authentication",
  abstract =     "Biometric systems suffer from some drawbacks: a
                 biometric system can provide in general good
                 performances except with some individuals as its
                 performance depends highly on the quality of the
                 capture One solution to solve some of these problems is
                 to use multibiometrics where different biometric
                 systems are combined together (multiple captures of the
                 same biometric modality, multiple feature extraction
                 algorithms, multiple biometric modalities). In this
                 paper, we are interested in score level fusion
                 functions application (i.e., we use a multibiometric
                 authentication scheme which accept or deny the claimant
                 for using an application). In the state of the art, the
                 weighted sum of scores (which is a linear classifier)
                 and the use of an SVM (which is a non linear
                 classifier) provided by different biometric systems
                 provide one of the best performances. We present a new
                 method based on the use of genetic programming giving
                 similar or better performances (depending on the
                 complexity of the database). We derive a score fusion
                 function by assembling some classical primitives
                 functions (+, ., -, a ). We have validated the proposed
                 method on three significant biometric benchmark
                 datasets from the state of the art.",
}

Genetic Programming entries for Romain Giot Christophe Rosenberger

Citations