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At my website I receive an image contains the user fingerprint and signature, I wan't to extract these two pieces of information.

for example:

I tried this:

 import os
import cv2
import numpy as np

#read image
rgb_img = cv2.imread('path')
rgb_img = cv2.resize(rgb_img, (900, 600))
gray_img = cv2.cvtColor(rgb_img, cv2.COLOR_BGR2GRAY)

#canny edge detection
canny = cv2.Canny(gray_img, 50, 120)

# Morphology Closing

# Find contours

contours, hierarchy = cv2.findContours(closing.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)

# Sort Contors by area and then remove the largest frame contour
n = len(contours) - 1
contours = sorted(contours, key=cv2.contourArea, reverse=False)[:n]

copy = rgb_img.copy()

# Iterate through contours and draw the convex hull

for c in contours: if cv2.contourArea(c) < 750: continue hull = cv2.convexHull(c) cv2.drawContours(copy, [hull], 0, (0, 255, 0), 2) imshow('Convex Hull', copy)

Now my goals are:

1.Know which part is the signature and which is the fingerprint

2.Resolve the contours overlapping if exist

P.S: I'm not sure if the previous steps are final so please if you have better steps tell me.

These are some hard examples i may wanna deal with

At my website I receive an image contains the user fingerprint and signature, I wan't to extract these two pieces of information.

for example:

I tried this:

 import os
import cv2
import numpy as np

#read image
rgb_img = cv2.imread('path')
rgb_img = cv2.resize(rgb_img, (900, 600))
gray_img = cv2.cvtColor(rgb_img, cv2.COLOR_BGR2GRAY)

#canny edge detection
canny = cv2.Canny(gray_img, 50, 120)

 # Morphology Closing
 
Closing
kernel = np.ones((7, 23), np.uint8)
 closing = cv2.morphologyEx(canny, cv2.MORPH_CLOSE, kernel)
 kernel)

 
 
 # Find contours 
 
 contours, hierarchy = cv2.findContours(closing.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)

# Sort Contors by area and then remove the largest frame contour
n = len(contours) - 1
contours = sorted(contours, key=cv2.contourArea, reverse=False)[:n]

#take a copy
copy = rgb_img.copy()

# Iterate through contours and draw the convex hull
 
for c in contours:
 if cv2.contourArea(c) < 750:
 continue
 hull = cv2.convexHull(c)
  cv2.drawContours(copy, [hull], 0, (0, 255, 0), 2)
 imshow('Convex Hull', copy)
copy)