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Vision Document Scanner

Vision Document Scanner is a small computer vision utility that turns a photo of a document into a clean scanned image. It detects the document edges, corrects perspective, converts the result to grayscale, and applies adaptive thresholding for a high contrast output.

What It Does

• Detects the largest document-like contour in a photo.
• Applies a four-point perspective transform.
• Produces a clean black and white scan.
• Works from the terminal with one command.
• Uses only Python, OpenCV, and NumPy.

Requirements

pip install -r requirements.txt

Usage

python scanner.py -i input_image.jpg -o output_image.png

Example Workflow

1. Take a photo of a document on a contrasting background.
2. Run the scanner with the image path.
3. Open the generated PNG.
4. If the document is not detected, try a photo with clearer edges and less blur.

Project Goal

The project is intentionally simple: one useful command that demonstrates document detection, perspective correction, and scan-style image processing.