Nikita Saindane
Sanika Navale
Runali Nevase
Harshda Sonawane
- Assistant Professor Department of Computer Engineering Pillai HOC College of Engineering and Technology, Mumbai University Maharashtra India
- Student Department of Computer Engineering Pillai HOC College of Engineering and Technology, Mumbai University Maharashtra India
- Student Department of Computer Engineering Pillai HOC College of Engineering and Technology, Mumbai University Maharashtra India
- Student Department of Computer Engineering Pillai HOC College of Engineering and Technology, Mumbai University Maharashtra India
Abstract
This paper introduces a versatile system for real-time multilingual text translation from captured images, enhancing communication across language barriers. Users utilize a user-friendly frontend to capture images containing text, initiating a process that involves Optical Character Recognition (OCR) for text extraction. The extracted text undergoes translation in the backend, producing translated content in the user’s preferred native language. A distinctive feature of the system is the generation of QR codes, encapsulating the translated text and relevant metadata. These QR codes are stored in the backend, ensuring organized and accessible content. In the future, a dedicated feature will enable users to scan stored QR codes, swiftly retrieving the translated text in their native language.
Keywords: Text Extraction, OCR, tesseract, image processing, QR Code, translator
[This article belongs to Journal of Instrumentation Technology & Innovations(joiti)]
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References
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Journal of Instrumentation Technology & Innovations
| Volume | 14 |
| Issue | 01 |
| Received | April 23, 2024 |
| Accepted | May 10, 2024 |
| Published | May 20, 2024 |