Processing Bank Checks with Genetic Programming and Histograms

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Oana Muntean and Mihai Oltean",
  title =        "Processing Bank Checks with Genetic Programming and
  booktitle =    "ECSIS Symposium on Bio-inspired, Learning, and
                 Intelligent Systems for Security, BLISS 2007",
  year =         "2007",
  pages =        "102--105",
  address =      "Edinburgh",
  month =        "9-10 " # aug,
  publisher =    "IEEE Computer Society",
  keywords =     "genetic algorithms, genetic programming, MNIST
                 benchmarking set, electronic techniques, histograms,
                 processing bank checks, cheque processing",
  ISBN =         "0-7695-2919-4",
  URL =          "",
  DOI =          "doi:10.1109/BLISS.2007.27",
  size =         "4 pages",
  abstract =     "In spite of evolution of electronic techniques, a
                 large number of applications continue to rely on the
                 use of paper as the dominant medium. Bank checks are a
                 widely known example. When filled by hand, the
                 processing of the written information requires either a
                 human or a special software which has intelligent
                 abilities. This paper examines the issue of reading the
                 amount of money written on the checks. Genetic
                 Programming (GP) technique is used for dealing with
                 this problem. A new type of input representation is
                 proposed: histograms. Several numerical experiments
                 with GP are performed by using large datasets taken
                 from the MNIST benchmarking set. Preliminary results
                 show a good behavior of the method.",
  bibdate =      "2009-12-30",
  bibsource =    "DBLP,

Genetic Programming entries for Oana Muntean Mihai Oltean