Skewed text image in python|ratan agarwal it informer
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Skewed text image in python
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Skewed text image in python
To Detect and correct text skew
Given an image containing a rotated block of text at an unknown angle, we need to correct the text skew by:
• Detecting the block of text in the image.
• Computing the angle of the rotated text.
• Rotating the image to correct for the skew.
1. Import the modules cv2, NumPy and read the image:
2. Convert the image into a grayscale image:
3. Invert the grayscale image using bitwise_not:
4. Select the x and y coordinates of the pixels greater than zero by using the column_stack method of NumPy:
5. Now we have to calculate the skew angle. We will use the minAreaRect() method of cv2.
which returns an angle range from -90 to 0 degrees (where 0 is not included).
6. The rotated angle of the text region will be stored in the ang variable.
7. Now we add a condition for the angle;
if the text region’s angle is smaller than -45,we will add a 90 degrees
else we will multiply the angle with a minus to make the angle positive.
8. Calculate the center of the text region:
Now we have the angle of text skew, we will apply the getRotationMatrix2D() to get the rotation matrix
then we will use the wrapAffine() method to rotate the angle (explained earlier).
9. Display the rotated image
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