DEVELOPMENT AND ANALYSIS OF THE CAR REGISTRATION PLATE RECOGNITION SYSTEM

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dc.contributor.authorN. Yerzhanov
dc.contributor.authorM. Murzabulatov
dc.date.accessioned2024-01-11T04:20:35Z
dc.date.available2024-01-11T04:20:35Z
dc.date.issued2022
dc.description.abstractAbstract The main goal of this project is to create and test novel algorithms for detecting, segmenting, and classifying symbols in order to improve the performance of automatic recognition systems for automobile license plates based on neural networks under interference and distortion situations. The goal of this study is to look at the detection, segmentation, and classification techniques that are used to find objects in halftone and color photographs. The goal of the study is to increase the efficiency of video recording systems and vehicle traffic control by developing and modifying algorithms.
dc.identifier.citationN. Yerzhanov , M. Murzabulatov / DEVELOPMENT AND ANALYSIS OF THE CAR REGISTRATION PLATE RECOGNITION SYSTEM / 2022 International Young Scholars' Conference
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1116
dc.language.isoen
dc.publisher2022 International Young Scholars' Conference
dc.subjectRECOGNITION SYSTEM
dc.subjectCCD
dc.subjectCMOS
dc.subjectautomobile license plates
dc.subject2022 International Young Scholars' Conference
dc.subject№11
dc.titleDEVELOPMENT AND ANALYSIS OF THE CAR REGISTRATION PLATE RECOGNITION SYSTEM
dc.typeOther

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