AN ANALYSIS OF THE OPENCV LIBRARY’S SOLUTIONS EFFICENCY IN THE PROBLEM OF LICENCE PLATE RECOGNITION 

Mitrokhin Maksim Aleksandrovich, Doctor of engineering sciences, head of sub-department of computer engineering, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: vt@pnzgu.ru
Shchegolikhin Yaroslav Pavlovich, Student, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: yaroslav.schegolikhin@yandex.ru
Neshko Dar'ya Olegovna, Student, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: daria-uno@yandex.ru
Semenkin Maksim Viktorovich, Director general, “CodeInside” LLC (64b Suvorova street, Penza, Russia), E-mail: maxim.semekin@codeinside.ru 

004.931 

10.21685/2072-3059-2019-2-4 

Background. The object of the study is the OpenCV library. The subject of the study is the means of the library for the recognition of car licence plate. The aim of the study is to evaluate the effectiveness of OpenCV library in a wide range of image acquisition conditions.
Materials and methods. The research is performed with using of the pattern recognition and image processing methods.
Results. The technique for improving the means of recognition car licence plate are proposed, their efficiency is shown on the experimental data.
Conclusions. The proposed solutions allow to increase the efficiency of standard OpenCV library tools, based on Haar cascades, but it requires additional computing costs. 

algorithms, image processing, Haar cascades 

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