Final Report for DocScanner

Final_Report.md

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+<center><a href="https://winterofcode.com/"><img src="https://camo.githubusercontent.com/c73f77959233a8adb69f3dee7bbb3ba5e016f4239c7496c82538cc60c984f56e/68747470733a2f2f77696e7465726f66636f64652e636f6d2f7374617469632f6d656469612f6f72672d6c6f676f2e39333564376634382e706e67" alt="gsoc" height="50"/></a>
+<a href="https://www.python.org/"><img src="https://www.python.org/static/community_logos/python-logo.png" height="45"/></a>
+<a href="https://fury.gl/latest/community.html"><img src="/images/header.jpg" alt="DSC-NSEC" height="70"/></a>
+</center>
+
+# Winter of Code Final Work Product
+* **Name:** Abhinav Chauhan
+* **Organisation:** DSC - NSEC
+* **Project:** [DocScanner](https://github.com/dscnsec/DocScanner.git)
+
+## Language Used
+* Python
+
+## Library Used
+* OpenCV
+* Numpy
+
+## There are Following Steps:-
+## Reading image using OpenCV
+<img src="/images/1.jpg" height="250"/>
+
+## Image Preprocessing
+* Converting orginal image to grey color
+* Converting grey image to blurred image using Gaussian Blur
+* Detecting edges using canny edge detector
+* dilation and erosion of inage for better contour detection.
+<img src="/images/Threshold.jpg" height="250"/>
+
+## Contour Detection
+* He we handle all the contour Detected and keep only the one with the greatest contour area.
+* After getting that contour we draw a bounding box around it for visualisation and keep the coordinates of the corners of the required contour detected.
+<img src="/images/Conttour.jpg" height="250"/>
+
+## Reorder coordinates
+* This is the main function that resolves the issue posted in the repo. i.e to get corret order of the corner points of the contour detected.
+* Arranging the corner coordinates in the correct order for Wrapping function at realtime using simple numpy library and basic arithmetic functions.
+
+## Wrapping the Image
+* In this step we wrap the image with the ordered points i.e. (0,0) (width, 0) (0, height) and (width, height) which we got from the reorder function.
+
+## Result Image
+* Here we diplay the the final scanned image.
+<img src="/images/Scanned.jpg" height="250"/>
+
+## Link To My Pull Request
+https://github.com/dscnsec/DocScanner/pull/5
+
+## Future Scope
+* Working in the project of DocScanner not only we got more application in machine learning but we also got more intents towards different arean of computer vision.
+
+## Overall Experience
+* It was great exprience for me to got into Open Source culture through this great program and I would love to encorage more students to do this program in future.