| --- |
| title: Handwritten Text Recognition |
| emoji: 📚 |
| colorFrom: blue |
| colorTo: purple |
| sdk: gradio |
| sdk_version: 6.5.1 |
| python_version: '3.13' |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # ✍️ Handwritten Line Text Recognition (HTR) |
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| This project implements a **Handwritten Line Text Recognition (HTR)** system using Deep Learning with TensorFlow. |
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| The model is based on a **CRNN (CNN + BiLSTM + CTC)** architecture and can recognize handwritten English text lines from images. |
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| Deployed on Hugging Face Spaces using Gradio. |
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| ## 🚀 How It Works |
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| Image → CNN → BiLSTM → Dense → CTC Decode → Text Output |
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| The model: |
| - Extracts visual features using Convolutional layers |
| - Models sequence dependencies with Bidirectional LSTM |
| - Uses CTC decoding to predict variable-length text |
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| --- |
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| ## 📂 Project Files |
