The Image Automatic Cropping Watcher is a tool designed to automatically detect PDF files, convert them to images, perform automatic skew correction, and then recompile the corrected images back into a PDF file. This process is fully automated and can be used to enhance the quality of scanned documents or images with perspective distortion.

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Functionality

The main functionalities of the Image Automatic Cropping Watcher include:

1. PDF Detection: The application monitors a specified directory for incoming PDF files.

2. PDF to Image Conversion: Upon detecting a PDF file, the application converts each page of the PDF into an image.

3. Automatic Perspective Correction: The images extracted from the PDF are automatically processed to correct any perspective distortion or skew.

4. Compilation into PDF: Finally, the corrected images are compiled into a new PDF file, resulting in a document with improved image quality.

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Usage

To utilize the Image Automatic Cropping Watcher:

1. Clone the Repository: Clone the repository to your local machine using the following command:

   git clone https://github.com/mohamedelareeg/ImageAutomaticCroppingWatcher.git

2. Build the Solution: Open the solution in Visual Studio or your preferred IDE and build it to compile the project.

3. Install Dependencies: Ensure that the necessary dependencies are installed and configured. This project relies on the following dependencies:

• iTextSharp: Used for handling PDF files and compilation of corrected images into a PDF.
• OpenCVSharp: Used for image processing tasks such as perspective correction and skew detection.
• Newtonsoft.Json: Used for JSON serialization and deserialization.

4. Run the Application: Start the application. It will begin monitoring the specified directory for incoming PDF files.

5. Monitor Process: Once a PDF file is detected, the application will automatically convert its pages to images, correct any perspective distortion, and compile the corrected images into a new PDF file.

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Dependencies

The Image Automatic Cropping Watcher relies on the following dependencies:

• iTextSharp: Used for handling PDF files and compilation of corrected images into a PDF.
• OpenCVSharp: Used for image processing tasks such as perspective correction and skew detection.
• Newtonsoft.Json: Used for JSON serialization and deserialization.

Ensure that these dependencies are installed and properly configured in your development environment before running the application.

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Contributing

Contributions are welcome! If you'd like to contribute to the Image Automatic Cropping Watcher, feel free to open a pull request or submit an issue on the GitHub repository.

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License

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

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Acknowledgments

• iTextSharp: For PDF handling functionality.
• OpenCVSharp: For image processing capabilities.
• Newtonsoft.Json: For JSON serialization and deserialization.