# importing libraries
import numpy as np
import imutils
import cv2
field_threshold = { "prev_policy_no" : 0.7,
"address" : 0.6,
}
# Function to Generate bounding
# boxes around detected fields
def getBoxed(img, img_gray, template, field_name = "policy_no"):
w, h = template.shape[::-1]
# Apply template matching
res = cv2.matchTemplate(img_gray, template,
cv2.TM_CCOEFF_NORMED)
hits = np.where(res >= field_threshold[field_name])
# Draw a rectangle around the matched region.
for pt in zip(*hits[::-1]):
cv2.rectangle(img, pt, (pt[0] + w, pt[1] + h),
(0, 255, 255), 2)
y = pt[1] - 10 if pt[1] - 10 > 10 else pt[1] + h + 20
cv2.putText(img, field_name, (pt[0], y),
cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 1)
return img
# Driver Function
if __name__ == '__main__':
# Read the original document image
img = cv2.imread('doc.png')
# 3-d to 2-d conversion
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Field templates
template_add = cv2.imread('doc_address.png', 0)
template_prev = cv2.imread('doc_prev_policy.png', 0)
img = getBoxed(img.copy(), img_gray.copy(),
template_add, 'address')
img = getBoxed(img.copy(), img_gray.copy(),
template_prev, 'prev_policy_no')
cv2.imshow('Detected', img)