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Recognition of damaged letters based on neural network analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA14017Z6" target="_blank" >RIV/61988987:17310/13:A14017Z6 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Recognition of damaged letters based on neural network analysis

  • Original language description

    This paper describes an experimental study based on the application of neural networks for pattern recognition of numbers stamped (imprinted) on ingots. The same task was also solved using fuzzy logic. The ability of all tested neural networks is sufficient to learn all the test patterns, as was demonstrated during experimental works. Unfortunately, amount of training patterns provided by Company KMC Group, s.r.o. were very small and they were very different from test samples. In the article, appropriate types of binarization were discussed so as to extract sufficient information regarding classification via neural networks. There were the optimization of the training set proposed based on the training set analysis. Next, we also proposed way of optimization of parameters belonging to adaptation rules of used neural networks. All experimental results were mutually compared in conclusion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Mendel 2013

  • ISBN

    978-80-214-4755-4

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    209-214

  • Publisher name

    Brno Univerzity of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 26, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article