Development and implementation of license plate recognition algorithm software for automation of the checkpoint
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Date
2022
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Abstract
Technologies that identify cars by license plates are an important aspect of traffic control and safety, and are used in various fields: protected areas, enterprises, traffic control, gas stations, parking lots, entry and exit control, etc. The purpose of the work is to research and develop methods of segmentation and character recognition, providing information processing on the image for identification of license plates of cars. Achieving this goal involves solving the following tasks: 1. research of the main methods of processing, segmentation and recognition of objects in images; 9. development and implementation of the number plate segmentation algorithm; 3. development and implementation of a character recognition algorithm; 4, investigation of the reliability of the developed algorithms for the recognition of a car license plate.
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Keywords
image processing, segmentation, recognition, Laplacian, erosion, dilation, binarization, median filtering, contour analysis, Viola-Jones method, support vector machine method, histogram equalization, Haar signs