title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐµÑÐ²Ð¸ÑÐ° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð°Ð²ÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ Ð½Ð¾Ð¼ÐµÑÐ¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of license plate number recognition service
Creators: name: ÐÐ°ÑÐ°ÑÑÑÐº, ÐÐ¸ÑÐ°Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð¼ÐµÑÐ¾Ð´ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ
ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÑ
Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ðµ ÑÐµÑÐµÐ½Ð¸Ðµ
Ð³Ð¸ÑÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð³ÑÐ°Ð´Ð¸ÐµÐ½ÑÐ½ÑÐµ Ð¾Ð¿ÐµÑÐ°ÑÐ¾ÑÑ
recognition method
convolutional neural network
optimal solution
histogram analysis
gradient operators

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description: The object of the research is the systems of automatic license plate number recognition. The subject of the study is web-oriented technologies for the development of such systems. Methods of work are: methods of machine learning and computer vision, algorithms of optical character recognition, as well as methods of statistical data processing to validate the results obtained. This paper presents an approach to the development of license plate number recognition service using modern methods of machine learning and computer vision. The basic concepts and definitions in the field of optical character recognition and object detection are outlined. Various detection and recognition methods such as gradient operators, Viola-Jones algorithm, histogram analysis, normalization and segmentation, convolutional neural networks and YOLO are analyzed. The design of an automatic license plate recognition service has been performed. In particular, the optimal method of user interaction with the service was chosen - a web application that provides convenience and accessibility of use. As a result of the final qualification work a complex service was developed, which allows to perform license plate recognition.