OCR developed using CNN with TensorFlow that recognizes alphanumeric characters with 98% accuracy on both training and testing datasets. This project is designed to extract text from images. making preprocessing and building the CNN model and training the model on the dataset. The trained model achieved an accuracy of 98% on the test set.
Contributions are welcome! If you have suggestions, improvements, or additional content to contribute, feel free to open issues, submit pull requests, or provide feedback.
This repository is maintained by Elsayed Elmandoh, an AI Engineer. You can connect with Elsayed on LinkedIn and Twitter/X for updates and discussions related to Machine learning, deep learning and NLP.
Happy coding!