I am new to machine learning.
I want to prepare a document with a signature at the bottom of it.
For this purpose I am taking a photo of the user's signature for placement in the document.
How can I using machine learning extract only the signature part from the image and place it on the document?
Input example:
Output expected in gif format:
Extract the green image plane. Then take the complementary of the gray value of every pixel as the transparency coefficient. Then you can perform compositing to the destination.
A simple image-processing technique using OpenCV should work. The idea is to obtain a binary image then bitwise-and the image to remove the non-signature details. Here's the results:
Input image
Binary image
Result
Code
import cv2
# Load image, convert to grayscale, Gaussian blur, Otsu's threshold
image = cv2.imread('1.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (3,3), 0)
thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
# Bitwise-and and color background white
result = cv2.bitwise_and(image, image, mask=thresh)
result[thresh==0] = [255,255,255]
cv2.imshow('thresh', thresh)
cv2.imshow('result', result)
cv2.waitKey()
Please do research before posting questions like these. A simple google search of "extract signature from image python" gave so many results.
There are many other such alternatives. Please have a look and try a few approaches.
If you still have some questions or doubts, then post the approach you have taken and a discussion is warranted.
