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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2025 Issue 2, Pages 142–156 (Mi iipr634)

Analysis of signals, audio and video information

Development of a software model for character recognition on vehicle license plates

M. V. Bobyr, S. G. Emelyanov, N. A. Milostnaya

Southwest State University, Kursk, Russia

Abstract: The paper presents an approach to automatic character recognition on car license plates. This approach consists of six procedures, for each of which code commands in the Python programming language are given. These are converting an image to grayscale to reduce the number of color channels; blurring an image using a bilateral filter; detecting the boundaries of objects using the Canny detector; finding the contours of all rectangular objects in an image; approximating the contours found and creating a mask to highlight the license plate; recognizing the characters on a car license plate. of about 96%, which indicates its effectiveness and applicability in real conditions.

Keywords: optical character recognition, car license plate, edge detection, Canny filter.

DOI: 10.14357/20718594250212



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© Steklov Math. Inst. of RAS, 2025