Convert photos of documents made with a camera to a 'scanned' documents. It will take documents' contour and apply a four point transformation
Project description
Four-Point-Invoice-Transform-with-OpenCV
forked from KMKnation/Four-Point-Invoice-Transform-with-OpenCV
This code is inspired from [4 Point OpenCV getPerspective Transform Example]
I have customized the code of Adrian to find 4 points of document or rectangle dynamically. Here i have added findLargestCountours and convert_object, where convert_object is our driver method which actually doing image processing and getting all 4 point rectangles from image. After getting all 4 point rectangle list findLargestCountours method finding largest countour in list.
Installation
pip install image_to_scan
Run it
Before running the examples, create a virtual environment and install
dependencies with make init, this will also add an entry point
image-to-scan from which you can call the script.
Activate your virtualenv source venv/bin/activate.
Sample2
Run image-to-scan tests/samples/02/original.png
| Original Image | Edge Detection | Warped Image |
|---|---|---|
Sample3
Run image-to-scan tests/samples/03/original.png
| Original Image | Edge Detection | Warped Image |
|---|---|---|
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