Vision system for licence plate recognition based on neural networks

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Vision system for licence plate recognition based on neural networks

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Vision system for licence plate recognition based on neural networks

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

4

Strana od-do

141-144

Název nakladatele

IEEE Computer Society

Místo vydání

USA

Místo konání akce

Yassmine Hammamet, Tunisia

Datum konání akce

4. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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