# DESKEWING PDF

Scanned documents often become skewed slanted during scanning because of misfeeds or other alignment errors. Skew is the amount of rotation necessary to return an image to horizontal and vertical alignment. Skew is measured in degrees. Deskewing is a process whereby skew is removed by rotating an image by the same amount as its skew but in the opposite direction. This results in a horizontally and vertically aligned image where the text runs across the page rather than at an angle.

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When we write, we often write at angles to the paper, which cause letters and numbers to be skewed. Unfortunately, unlike the human eye, computers cannot easily find similarities between images that are transformations of each other. Thus, the process of deskewing.

Very formally, deskewing is the process of straightening an image that has been scanned or written crookedly — that is an image that is slanting too far in one direction, or one that is misaligned. In particular, we model the process of deskewing as an affine transformation. What we do know is that we want the center of mass to be the center of the image, and that we'd like to know the angle at which it was skewed. The methodology goes as follows:. Thus, combining the two, using the handy interpolation library from scipy, we complete the method deskew below.

Default imports: don't touch these import numpy as np import matplotlib. Thus, the process of deskewing Very formally, deskewing is the process of straightening an image that has been scanned or written crookedly — that is an image that is slanting too far in one direction, or one that is misaligned.

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## Deskew/Autodeskew: What’s That?

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## How to deskew an image

Deskewing an image can help a lot, if you want to do OCR, OMR, barcode detection, or just improve the readability of scanned images. For example, think of a camera that automatically takes photos of goods with a barcode. If the skew angle is too high, the barcode can not be detected. After deskewing, the barcode can be read.

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## image de-skew

Scanned documents often become skewed slanted during scanning because of misfeeds or other alignment errors. Skew is the amount of rotation necessary to return an image to horizontal and vertical alignment. Skew is measured in degrees. Deskewing is a process whereby skew is removed by rotating an image by the same amount as its skew but in the opposite direction. This results in a horizontally and vertically aligned image where the text runs horizontally across the page rather than at an angle. When an image is not aligned correctly, optical character recognition OCR is more difficult and becomes slower and less accurate.