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Handwritten Text Recognition (CRNN)
in-progressOverview
An ongoing machine learning project focused on building a complete handwritten text recognition pipeline. It combines CNN-based feature extraction with RNN sequence modeling (CRNN) to interpret handwritten text. The system includes image preprocessing with OpenCV and is being designed for potential deployment via Streamlit.
Key Features
- Image preprocessing pipeline
- CRNN-based architecture
- Sequence prediction and decoding
- End-to-end ML workflow
Technologies
PythonPyTorchOpenCVCRNN