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How Optical Character Recognition work?

Updated: 2/22/2023
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11y ago

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OCR (Optimal Character Recognition) or an Optimal Character Reader is the process is which a computer converts an image based on text into a editable format on a computer using a series of complex algorithms. A few examples of this would be Pixel based matching and Matrix Matching.

In a pixel based matching OCR algorithm the following steps are taken.

1.The image is first converted to black and white to remove noise and clutter.

2. The image is split into separate letters so each individual letter can be analysed.

3. It is usually compared against a set of stored letter then using this algorithm below.

For each letter in the stored set

Check how many black pixels there are on the image

Paste the split letter over the image (transparent)

Count how many pixels there are now

Match = (Pixels Before / Pixels After) * 100

Move onto next letter until a high match has been found then assign the output to the corresponding letter

Loop

This is a basic algorithm which works.

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Era McCullough

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1y ago
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