Amharic Handwritten Text Preprocessing

This project involves preprocessing scanned handwritten Amharic text images and segmenting them into individual sentences. The provided image preprocessing script processes the input image to detect and extract each sentence.

Features

• Image preprocessing for scanned handwritten text
• Sentence segmentation
• Support for Amharic script

Requirements

• Python 3.x
• OpenCV
• NumPy
• Matplotlib (optional, for visualization)

Installation

1. Clone this repository:

   git clone https://github.com/Metasebiya-21/amharic-image-preprocessing.git

2. Navigate into the project directory:

   cd amharic-image-preprocessing

3. Install the required Python packages:

   pip install -r requirements.txt

Usage

1. Place your scanned handwritten text image in the images directory. Ensure the image is in a format supported by OpenCV (e.g., PNG, JPEG).

2. Run the preprocessing script:

   python preprocess.py --image images/your_image.png

   Replace your_image.png with the name of your image file.

3. The script will output the segmented sentences as individual images in the output directory.

Example

Below is an example of the preprocessing steps:

After Image Pre-Processing

input image with pre-processed image after projection

Segmented Sentences

The output will be individual images for each sentence, saved in the output directory.

Contributing

Contributions are welcome! Please feel free to open issues or submit pull requests.

License

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

Acknowledgements

• OpenCV - Open Source Computer Vision Library.
• NumPy - Library for scientific computing with Python.
• Matplotlib - Plotting library for Python (optional, for visualization).

Contact

For any inquiries or support, please contact [[email protected]].