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dc.contributor.authorLaptik, Raimond
dc.contributor.authorNavakauskas, Dalius
dc.date.accessioned2023-09-18T19:33:17Z
dc.date.available2023-09-18T19:33:17Z
dc.date.issued2005
dc.identifier.issn0209-3324
dc.identifier.other(BIS)VGT02-000012310
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/140643
dc.description.abstractWe investigate the recognition of air number plates by Artificial Neural Networks aiming to make the system cheaper by the use of web cameras at the same time not sacrificing the performance and recognition rate. Main attention is devoted to the investigation of Kohonen Feature Map and Multilayer Perceptron, their structure and training parameters. The description of the system under construction, the composition of the recognition software module, simulation experiments, achieved recognition results and suggestions for the future development are given.eng
dc.format.extentp. 249-257
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.titleApplication of artificial neural networks in number plate recognition system
dc.title.alternativeZastosowanie sztucznych sieci neuronowych w systemie rozpoznawania tablic rejestracyjnych
dc.typeStraipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed source
dcterms.references11
dc.type.pubtypeS4 - Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dcterms.sourcetitleZeszyty naukowe Politechniki Śląskiej : 5th International conference "Transport systems telematics. TST'05" : Katowice-Ustron, 3-5 November 2005
dc.description.volumez. 59
dc.publisher.nameWydawnictwo Politechniki Śląskiej
dc.publisher.cityKatowice
dc.identifier.elaba3735426


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