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This project uses handwriting recognition to recognize the names of medicines from a doctor's prescription. This is done using a Convolutional Neural Network (CNN) developed using the Pytorch Framework and OpenCV.

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Infi-09/Doctor-Prescripton-Handwritten-Recoginition

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Doctor-Prescripton-Handwritten-Recoginition

This project uses handwriting recognition to recognize the names of medicines from a doctor's prescription. This is done using a Convolutional Neural Network (CNN) developed using the Pytorch Framework and OpenCV.

Getting Started

1. Clone the repository

git clone https://github.com/Infi-09/Doctor-Prescripton-Handwritten-Recoginition.git

After downloading the repo, you have to download the datasets and models.
Dataset - https://www.robots.ox.ac.uk/~vgg/data/text
Models - In Digit folder.

2. Requirements

The project is created using Python 3.6 with Jupyter Notebook Main libraries (all required libraries are in reqiurements.txt:

  • numpy==1.17.2
  • opencv-python==4.4.0.42
  • pillow==6.1.0
  • scipy==1.5.2
  • torch==1.2.0

Run

With all required libraries installed and cloned repo, run jupyter notebook in the directory of the project. Then you can work on the particular notebook.

Contributing

Best way how to get involved is through creating GitHub issues or solving one! If there aren't any issues you can contact me directly on email.

About

This project uses handwriting recognition to recognize the names of medicines from a doctor's prescription. This is done using a Convolutional Neural Network (CNN) developed using the Pytorch Framework and OpenCV.

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