Development and implementation of license plate recognition algorithm software for automation of the checkpoint

dc.contributor.authorYerzhanov N.
dc.date.accessioned2024-12-19T12:06:51Z
dc.date.available2024-12-19T12:06:51Z
dc.date.issued2022
dc.description.abstractTechnologies 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.
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1591
dc.language.isoen
dc.subjectimage processing, segmentation, recognition, Laplacian, erosion, dilation, binarization, median filtering, contour analysis, Viola-Jones method, support vector machine method, histogram equalization, Haar signs
dc.titleDevelopment and implementation of license plate recognition algorithm software for automation of the checkpoint
dc.typeOther

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