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Automatic character plate recognition system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501BQ0" target="_blank" >RIV/61988987:17310/14:A1501BQ0 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic character plate recognition system

  • Original language description

    Automatic number plate recognition is a mass surveillance method that uses optical character recognition on images to read vehicle registration plates. They can use existing closed-circuit television or road-rule enforcement cameras, or ones specificallydesigned for the task. This paper presents another example of using artificial neural networks in computer vision. We proposed developed methods based on multilayer feed-forward back-propagation algorithm using one hidden layer that is able to recognizenumbers and letters in a plate. We also proposed method that is able to find some area with a number plate, which is cut out from the input image and forwarded to neural network application. The performance of the proposed system has been tested on realimages with very reasonable results.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Information Assurance and Security

  • ISSN

    1554-1010

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    AL - ALBANIA

  • Number of pages

    9

  • Pages from-to

    177-185

  • UT code for WoS article

  • EID of the result in the Scopus database