Vision system for licence plate recognition based on neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA140195K" target="_blank" >RIV/61988987:17310/13:A140195K - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Vision system for licence plate recognition based on neural networks
Original language description
The paper presents an important example of using artificial neural networks in computer vision. Vehicle Number Plate Recognition is a special form of optical character recognition (OCR). Vehicle number plate recognition is a type of technology, mainly software, which enables computer systems to read automatically the registration number of vehicles from digital pictures. We proposed developed methods based on multilayer feed-forward back-propagation algorithm using one hidden layer that is able to recognize numbers 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 onreal images.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2013 Thirteenth International Conference on Hybrid Intelligent Systems
ISBN
978-1-4799-2439-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
141-144
Publisher name
IEEE Computer Society
Place of publication
USA
Event location
Yassmine Hammamet, Tunisia
Event date
Dec 4, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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