Multi-script Text Detection From Sign Board Images
Sign boards and other documents are multi-lingual in a multi-lingual country like India. This solution detects multi-script text from such environments and acts as a primary solution in many image-processing applications.
- Technology : Artificial Intelligence, Natural Language Processing, Image Processing & Computer Vision
- Industry : Media & Entertainment
Business Objective
- Multi-script Text detection and recognition play a significant role in the field of computer vision and AI
- Text translation system or mobile-based OCR system works with a multi-script environment
- Accurate multi-script text detection from images is a challenging task and requires the use of state-of-the-art methods and technique
- Multilingual text detection adds extra complexity as the multi-script environment differs in terms of formats
Solution
- Faster RCNN-based method is proposed to detect English, Hindi, and Gujarati texts from images
- Parameters are designed to meet the need for multi-script text detection from sign-board images
- Dataset is created as no labeled dataset was available in the public domain
Result
- Efficient multilingual text detection from sign board images
- Improved recognition accuracy of selected languages
- Local Language identification for better understanding
- well-applicable solution to multi-script text detection
Benefits
- Works as a primary solution in many image-processing applications
- Addresses emerging need for text detection in everyday lives
- Improved efficiency and better recognition of multiple languages
- Utility in numerous applications such as language translation, information retrieval, image-to-text conversions, and assistance
- Usability in multilingual countries like India, where signboards are written in more than two languages (national and regional)
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