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Larissa V. Voronova
Kostroma State University
Elena V. Panisheva
Kostroma State University
ON THE QUESTION ON METHOD SELECTION OF THE EDGE DETECTION AND GRAPHIC OBJECT RECOGNITION APPLIED TO THE TASK OF LICENCE PLATE IDENTIFICATION
Voronova L. V., Panisheva E. V. On the question on method selection of the edge detection and graphic object recognition applied to the task of licence plate identification. Technologies & Quality. 2022. Nr 2(56). P. 46–50. (In Russ.) https: doi 10.34216/2587-6147-2022-2-56-46-50.
DOI: 10.34216/2587-6147-2022-2-56-46-50
УДК: 004.93
Publish date: 2022-05-19
Annotation: The method of the edge detection and graphic object recognition – licence plate is presented in this article. The development and use of an automatic car number recognition system is an urgent task, as it allows you to control the access of a car to a closed protected area without the participation of an operator. The article presents a comparative analysis of the quality and efficiency of various methods (Viola–Jones object detection framework, Canny edge detector, Sobel operator). The authors proposed a modification of the method for determining boundaries within the framework of the problem being solved, quantified the accuracy of recognition.
Keywords: computer vision, contour analysis, Viola–Jones object detection framework, Canny edge detector, Sobel operator, Gaussian filter, localisation velocity, recognition accuracy
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Author's info: Larissa V. Voronova, Kostroma State University, Kostroma, Russia E-mail: voronlar@list.ru, https://orcid.org/0000-0002-7004-1778
Co-author's info: Elena V. Panisheva, Kostroma State University, Kostroma, Russia E-mail: elenakgtu@mail.ru, https://orcid.org/0000-0001-9413-2626