I am trying to extract the complete Aadhar number (12 digits) from the image of an Aadhar card (India)

I am able to identify the region with QR code. To extract the info - I have been looking into python libraries that read and decode Secure QR codes on Indian Aadhaar cards. These 2 libraries seem particularly useful for this use case:

1. 

   Now we create a rectangular kernel and morph close to combine the QR code into one contour

   

   We find contours and filter for the QR code using contour area, contour approximation, and aspect ratio. The detected QR code is highlighted in green

   

   Extracted ROI

   

   Code

   import cv2
   import numpy as np
   
   # Load imgae, grayscale, Gaussian blur, Otsu's threshold
   image = cv2.imread('1.png')
   original = image.copy()
   gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
   blur = cv2.GaussianBlur(gray, (7,7), 0)
   thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV   cv2.THRESH_OTSU)[1]
   
   # Morph close
   kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5))
   close = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel, iterations=1)
   
   # Find contours and filter for QR code using contour area, approximation, and aspect ratio
   cnts = cv2.findContours(close, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
   cnts = cnts[0] if len(cnts) == 2 else cnts[1]
   for c in cnts:
       peri = cv2.arcLength(c, True)
       approx = cv2.approxPolyDP(c, 0.04 * peri, True)
       x,y,w,h = cv2.boundingRect(approx)
       area = cv2.contourArea(c)
       ar = w / float(h)
       if len(approx) == 4 and area > 1000 and (ar > .85 and ar < 1.3):
           cv2.rectangle(image, (x, y), (x   w, y   h), (36,255,12), 3)
           ROI = original[y:y h, x:x w]
           # cv2.imwrite('ROI.png', ROI)
   
   # Display
   cv2.imshow('thresh', thresh)
   cv2.imshow('close', close)
   cv2.imshow('image', image)
   cv2.imshow('ROI', ROI)
   
   # Save images
   # cv2.imwrite('thresh.png', thresh)
   # cv2.imwrite('close.png', close)
   # cv2.imwrite('image.png', image)
   # cv2.imwrite('ROI.png', ROI)
   cv2.waitKey()