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Multi-script Text Detection From Sign Board Images

Multi-script Text Detection From Sign Board Images

An AI-powered system utilizing Faster R-CNN for detecting and recognizing English, Hindi, and
Gujarati text from images, enabling efficient multilingual OCR for diverse applications.

Category: AI/ML
Industry: Smart Vision Systems, Multilingual AI Solutions, and Smart City Infrastructure

Project Info

  • Client:

    Digital Health Platform | UAE

  • Services:

    Credit Restoration

  • Date:

    February 12, 2024

  • Category:

    Finance

  • Team:

    Jonathan Hunt

Business Objective/Challenges:

  • Multi-script text detection and recognition are crucial in computer vision and AI.
  • Supports text translation systems or mobile-based OCR in multi-script environments.
  • Accurate multi-script text detection from images is challenging and requires advanced techniques.
  • Multilingual text detection adds complexity due to varying formats across scripts.

Solution

  • Proposed a Faster RCNN-based method to detect English, Hindi, and Gujarati texts from images.
  • Parameters designed to meet multi-script detection needs from signboard images.
  • Created a custom dataset due to lack of publicly available labeled data.

Technologies

  • Artificial Intelligence (AI) & Computer Vision, Optical Character Recognition (OCR)

Images :

Business Outcome :

  • Model integration into a Web App enables defect and text detection.
  • Efficient multilingual text detection from signboard images.
  • Improved recognition accuracy for selected languages.
  • Local language identification enhances understanding.
  • Applicable solution for multi-script text detection challenges.
  • Serves as a primary solution in various image-processing applications.
  • Addresses emerging needs for text detection in daily life.
  • Improved efficiency and recognition of multiple languages.
  • Utility in applications like language translation, information retrieval, image-to-text conversion, and accessibility.
  • Particularly useful in multilingual countries like India, where signboards use multiple national and regional languages.