This project implements a CAPTCHA recognition model that can be trained to recognize and decode CAPTCHA images. The model uses deep learning techniques to accurately predict the characters in CAPTCHA images.

• Python 3.x
• TensorFlow
• Keras
• OpenCV
• NumPy
• Matplotlib

1. Clone the repository:

   git clone https://github.com/DWE-CLOUD/OCRP
   cd OCRP

Dataset will be fetched directly from our github repo . No need to download

To train the model, remove the Models folder if it exists:

rm -rf Models

Then run the training script:

python train_model.py

Once the model is trained, you can use it to recognize CAPTCHA images. To run the model on a new image:

python recognize_captcha.py --image path_to_image

• train_model.py: Script to train the CAPTCHA recognition model.
• recognize_captcha.py: Script to use the trained model for CAPTCHA recognition.
• requirements.txt: List of required Python packages.
• Models/: Directory to store the trained model.
• dataset/: Directory containing the training and testing data.

• This project is inspired by various CAPTCHA recognition research papers and implementations available online.

This project is licensed under the MIT License - see the LICENSE file for details.

Feel free to contribute to the project by submitting issues or pull requests. Happy coding!