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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 52, 2020 Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i10.30
pages 24-31

Localization and Recognition of Vehicle Number Plates by Means of the Method of Support Vector Machine and Histograms of Oriented Gradients

Aidzhan S. Tlebaldinova
D. Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk (Kazakhstan)
Yuriy V. Krak
Kiev National Taras Shevchenko University, V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev
Alexander V. Barmak
Khmelnitskiy National University, Khmelnitskiy
Natalya F. Denisova
D. Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk (Kazakhstan)

Краткое описание

Algorithm of localization and recognition of number plates, based on methods of machine learning is suggested. For obtaining attribute vectors and symbol information from the number plate surface in the image the method of histograms of oriented gradients is used. For identification of number plates the method of support vector machine is used. Conditions of application of the suggested algorithm were ascertained on the basis of experimental investigations.


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