CODEWITHSUNDEEP
pythonopencvhandwriting
Swapnil B.
Swapnil B.

Reputation: 759

Removing grid from scanned image

I have to recognize the text of the hand-filled bank form. The form has a grid as shown in the image. I am new to Image Processing. I read few papers on handwriting recognition and did denoising, binarization as preprocessing tasks. I want to segment the image now and recognize the characters using a Neural Network. To segment the characters I want to get rid of the grid.

Thank you very much in advance. enter image description here

Upvotes: 5

Views: 4458

Answers (1)

Jeru Luke
Jeru Luke

Reputation: 21203

I have a solution using OpenCV.

First, I inverted the image:

ret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV)

enter image description here

Now I performed morphological opening operation:

opening = cv2.morphologyEx(thresh2, cv2.MORPH_OPEN, k2)
cv2.imshow('opening', opening)

enter image description here

You can see that the grid lines have disappeared. But there are some gaos in some of the characters as well. So to fill the gaps I performed morphological dilation operation:

dilate = cv2.morphologyEx(opening, cv2.MORPH_DILATE, k1)
cv2.imshow('dilation', dilate)

enter image description here

You can check out THIS LINK for more morphological operations and kernels used.

Upvotes: 9

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