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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49201
Title: Distorted qr-code correction algorithm
Authors: Feiyi, Xiao
German, O. V.
Keywords: материалы конференций;qr-code;machine learning;algorithm
Issue Date: 2022
Publisher: БГУИР
Citation: Feiyi, 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.
Abstract: This 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.
URI: https://libeldoc.bsuir.by/handle/123456789/49201
Appears in Collections:ИТС 2022

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