DC Field | Value | Language |
dc.contributor.author | Feiyi, Xiao | - |
dc.contributor.author | German, O. V. | - |
dc.coverage.spatial | Минск | - |
dc.date.accessioned | 2022-11-29T12:18:15Z | - |
dc.date.available | 2022-11-29T12:18:15Z | - |
dc.date.issued | 2022 | - |
dc.identifier.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. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/49201 | - |
dc.description.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. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | qr-code | ru_RU |
dc.subject | machine learning | ru_RU |
dc.subject | algorithm | ru_RU |
dc.title | Distorted qr-code correction algorithm | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | ИТС 2022
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