diff --git a/Image-Processing/Qr_scanner/Qr_scanner.py b/Image-Processing/Qr_scanner/Qr_scanner.py
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+import cv2 ##import the module opencv
+import numpy as np ##import the module numpy
+import pyzbar.pyzbar as pyzbar ##import the module pyzbar
+
+img = cv2.imread("qr.png") ##read your image 
+decode_QR = pyzbar.decode(img) ##function to decode QR
+
+for i in decode_QR:
+	print("your scanned QR :",i.data)
+
+cv2.imshow("QR ", img) ##display Cropped image
+cv2.waitKey(0)
diff --git a/Image-Processing/Qr_scanner/README.md b/Image-Processing/Qr_scanner/README.md
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+# Image Processing
+
+Image Processing is most commonly termed as 'Digital Image Processing' and the domain in which it is frequently used is 'Computer Vision'. 
+Don't be confused - we are going to talk about both of these terms and how they connect. 
+Both Image Processing algorithms and Computer Vision (CV) algorithms take an image as input; however, in image processing,
+the output is also an image, whereas in computer vision the output can be some features/information about the image.
+
+## OpenCV
+
+![](https://logodix.com/logo/1989939.png)
+
+## Installation
+
+### Windows
+ $ pip install opencv-python
+ $ pip install pyzbar
+### MacOS
+   $ brew install opencv3 --with-contrib --with-python3
+   $ brew install zbar
+### Linux
+   $ sudo apt-get install libopencv-dev python-opencv
+   $ sudo apt-get install libzbar0
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