Artificial Intelligence in OCR

Abimuktheeswaran Chidambaram
1 min readJul 15, 2024

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Optical Character Recognition processes the data from images or text (physical documents) and converts that text into machine-readable forms (digital format). Some times, it is called as text recognition. In early days traditional OCR takes more time, more storage space, and more human errors due to manual effort. Nowadays it takes less in time, errors, storage space due to automated OCR.

How the OCR works in this modern era ?

Artificial Intelligence enhances Optical Character Recognition (OCR) by improving accuracy, efficiency, and ability to handle more complex tasks.

Steps of OCR work in AI

Preprocessing is the initial step to enhance the quality of input, and improve the accuracy of character recognition. The primary goal is to clean the data and prepare the data for the OCR. It using some of the techniques for this. They are Noise-Reduction, Binarization, Skew Correction, Normalization, Blurring and smoothing, Thinning and Skeletonization etc…

Text Recognition

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