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This project is used to detect OCR of Retail Receipts using EasyOCR, Gaussian Threshold for pre-processing data and custom model training

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jhanvi-29/OCR-using-Custom-Dataset

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OCR-using-Custom-Dataset

This project is used to detect OCR of Retail Receipts using EasyOCR, Gaussian Threshold for pre-processing data and custom model training

  • Dataset used OCR Receipts from Grocery Stores Text Detection - retail dataset
  • Data Pre-Processing is implemented by Gaussian Threshold method using OpenCV, using this technique we can enchance more details of the image, using ImgProcessing.py you can pre-process all images together in a folder
  • Data modelling is done using this custom dataset, model training is done using Tessaract,EasyOCR,DistiltBert
  • Model Detection is saved JSON file
  • Flask API code is also included for end-to-end pipeline system architecture.

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This project is used to detect OCR of Retail Receipts using EasyOCR, Gaussian Threshold for pre-processing data and custom model training

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