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ocr-recognition

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Virtual patient-doctor connections via video calls, with additional chatbot and AI doctor interaction options. Patients can conveniently upload reports for OCR-based summarization.

  • Updated May 24, 2024
  • JavaScript

Final year college project, based on Digital Image Processing, Computer Vision and Deep Learning. It is aimed towards helping visually impaired people to access digital media and information of their surrounding, through text recognition and objection classification.

  • Updated May 24, 2024
  • Python

This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

  • Updated May 21, 2024
  • Python

Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.

  • Updated May 21, 2024
  • Python

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