Particularly useful in multi-column layouts and tables.Įstablish word and character shapes baseline, divides words when required. Identifies columns, paragraphs, captions, etc., as blocks. The binarization task is conducted as an easy and accurate way to distinguish text (or any other required image element) from the background. Remove positive and negative spots, smoothing edgesĬonvert an image to black-and-white (called a “binary image” because there are two colors). If the document was not correctly aligned when scanned, it may need to be tilted a few degrees clockwise or counterclockwise to create text lines completely horizontal or vertical. OCR software often “pre-process” images to boost the chances of recognition. Before selecting an OCR algorithm, the image must be preprocessed for the image to be ready to be “read”. How Does OCR Work?ĭifferent fonts and ways to write a single character make this issue a challenge to solve. Such images and documents can be scanned as a document, a document photo, or a scene photo (e.g. Just think about the amount of archive boxes full of paper that lies in a city or a government basement. With OCR a huge number of paper-based documents, across multiple languages and formats can be digitized into machine-readable text that not only makes storage easier but also makes previously inaccessible data available to anyone at a click. Optical Character Recognition (OCR) is an electronic conversion of the typed, handwritten or printed text images into machine-encoded text. What is Optical Character Recognition (OCR)? This guide will provide you with all the information that you need to understand what is OCR, what are its advantage and how to make the most out of this technology in a business context.

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