Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| Title: | Исследование современных систем оптического распознавания символов |
| Authors: | Филиппов А. С. |
| Keywords: | CER digital image processing EasyOCR OCR systems OCR-системы optical character recognition perspective transformation matrix Tesseract WER матрица преобразования перспективы оптическое распознавание символов цифровая обработка изображений |
| Issue Date: | 2026 |
| Citation: | Филиппов, А. С. Исследование современных систем оптического распознавания символов = Research of modern systems optical character recognition / А. С. Филиппов // Volga Cyber Week : материалы Всерос. II молодеж. науч.-практ. конф. по информатике и кибернетике (Самара, 12-15 мая 2026 г.) / М-во науки и высш. образования Рос. Федерации, Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т) ; под общ. ред. А. В. Куприянова. - Самара : Изд-во Самар. ун-та, 2026. - С. 395-398. |
| Abstract: | В настоящей работе приведены результаты сравнительного анализа опенсорс систем оптического распознавания символов (OCR): EasyOCR и Tesseract. Рассмотрены методы цифровой обработки изображений и детектирования документа на кадрах видео. Экспериментально доказано превосходство EasyOCR в распознавании символов в различных сценариях работы. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/64103 |
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| Other Identifiers: | RU\НТБ СГАУ\590316 |
| Appears in Collections: | VOLGA CYBER WEEK |
| File | Size | Format | |
|---|---|---|---|
| file-395-398.pdf | 1.32 MB | Adobe PDF | View/Open |
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