diff --git a/CarPlateDetection.py b/CarPlateDetection.py
index d20880f..6a0a4cc 100644
--- a/CarPlateDetection.py
+++ b/CarPlateDetection.py
@@ -1,6 +1,7 @@
 import numpy as np
 import cv2
 import  imutils
+import pytesseract
 
 # Read the image file
 image = cv2.imread('Car_Image_1.jpg')
@@ -24,7 +25,7 @@
 cv2.imshow("4 - Canny Edges", edged)
 
 # Find contours based on Edges
-(new, cnts, _) = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
+( cnts, _) = cv2.findContours(edges.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
 cnts=sorted(cnts, key = cv2.contourArea, reverse = True)[:30] #sort contours based on their area keeping minimum required area as '30' (anything smaller than this will not be considered)
 NumberPlateCnt = None #we currently have no Number plate contour
 
@@ -39,7 +40,19 @@
 
 
 # Drawing the selected contour on the original image
-cv2.drawContours(image, [NumberPlateCnt], -1, (0,255,0), 3)
-cv2.imshow("Final Image With Number Plate Detected", image)
-
-cv2.waitKey(0) #Wait for user input before closing the images displayed
\ No newline at end of file
+mask = np.zeros(gray_img.shape,np.uint8)
+new_image = cv2.drawContours(mask,[NumberPlateCnt],0,255,-1)
+new_image = cv2.bitwise_and(img,img,mask=mask)
+cv2.namedWindow("Final_image",cv2.WINDOW_NORMAL)
+cv2.imshow("Final_image",new_image)
+
+# Configuration for tesseract
+config = ('-l eng --oem 1 --psm 3')
+pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'
+# Run tesseract OCR on image
+text = pytesseract.image_to_string(new_image, config=config)
+
+# Print number on plate
+print(text)
+
+cv2.waitKey(0) #Wait for user input before closing the images displayed