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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49201
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dc.contributor.authorFeiyi, Xiao-
dc.contributor.authorGerman, O. V.-
dc.coverage.spatialМинск-
dc.date.accessioned2022-11-29T12:18:15Z-
dc.date.available2022-11-29T12:18:15Z-
dc.date.issued2022-
dc.identifier.citationFeiyi, Xiao Distorted qr-code correction algorithm / Xiao Feiyi, O. V. German // Информационные технологии и системы 2022 (ИТС 2022) = Information Technologies and Systems 2022 (ITS 2022) : материалы Международной научной конференции, Минск, 23 ноября 2022 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск : БГУИР, 2022. – С. 141–142.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/49201-
dc.description.abstractThis article mainly study about the problems of image tilt and geometric distortion that may be encountered in the identification process of QR-code symbol characteristics are used to rotate and orient the image.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectqr-coderu_RU
dc.subjectmachine learningru_RU
dc.subjectalgorithmru_RU
dc.titleDistorted qr-code correction algorithmru_RU
dc.typeArticleru_RU
Appears in Collections:ИТС 2022

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