Создание Приложения Для Распознавания И Перевода Текста С Изображений С Использованием Компьютерного Зрения И Обработки Естественного Языка
Year: 2025
Type: article
Abstract: This paper examines the process of developing an application for recognizing and translating text from images from one language to another. The main goal of the work is to create a software tool that uses computer vision algorithms to accurately extract text information from visual data and uses machine translation technologies to automatically convert text into the target language. The application structure includes several key modules: an optical character recognition (OCR) module, a machine translation system, and a user interface for easy access to the application's functionality. The following libraries and frameworks are used to implement the project: OpenCV for computer vision tasks and TensorFlow for the development and training of neural networks, which ensures high accuracy and system performance.
Authors: Титов, П.С., Чупеев, А.Д., Шеремет, А.А.
Language: Russian
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7222861521