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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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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)

RESUMO

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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