Character preclassification based on genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "C. {De Stefano} and A. Della Cioppa and A. Marcelli",
  title =        "Character preclassification based on genetic
  journal =      "Pattern Recognition Letters",
  year =         "2002",
  volume =       "23",
  pages =        "1439--1448",
  number =       "12",
  abstract =     "This paper presents a learning system that uses
                 genetic programming as a tool for automatically
                 inferring the set of classification rules to be used
                 during a pre-classification stage by a hierarchical
                 handwritten character recognition system. Starting from
                 a structural description of the character shape, the
                 aim of the learning system is that of producing a set
                 of classification rules able to capture the
                 similarities among those shapes, independently of
                 whether they represent characters belonging to the same
                 class or to different ones. In particular, the paper
                 illustrates the structure of the classification rules,
                 the grammar used to generate them and the genetic
                 operators devised to manipulate the set of rules, as
                 well as the fitness function used to drive the
                 inference process. The experimental results obtained by
                 using a set of 10,000 digits extracted from the NIST
                 database show that the proposed pre classification is
                 efficient and accurate, because it provides at most 6
                 classes for more than 87% of the samples, and the error
                 rate almost equals the intrinsic confusion found in the
                 data set.",
  owner =        "wlangdon",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Character
                 recognition, Preclassification",
  DOI =          "doi:10.1016/S0167-8655(02)00104-6",

Genetic Programming entries for Claudio De Stefano Antonio Della Cioppa Angelo Marcelli