Next 1 of 555 How Optical Character Recognition Can Be Used 1. Read more: Hold Onto Your Hats, Things Are About to Get a Lot Weirder In this system, every letter is represented by a different 7-bit binary number.
ASCII (American Standard for Information Exchange) is the most common format for computerized text files. Then there’s pattern recognition: identifying text across multiple fonts and formats to compare characters from the scan. Assigned rules help OCR identify a single letter’s different forms: typed vs handwritten, for example, or upper vs lower case.Īt the end of the OCR process, the characters are converted to ASCII or similar codes. During segmentation, feature extraction, and classification – the next three steps - OCR finds the letters, numbers, and symbols that are inside the dark areas, using a variety of techniques - most of which examine one character or word at a time. Next comes pre-processing - converting color or grayscale to binary. The computer analyzes the scanned image’s light and dark areas, classifying the light areas as background and the dark ones as handwriting. To go from image to completion, OCR goes through a series of steps:įirst, a paper document is read by a scanner and converted to binary data. Read more: Key Analytic Insights to Inform Business Decisions How Optical Character Recognition Works Sometimes known as Text Recognition, OCR also recognizes patterns and classifies information for Artificial Intelligence (AI) to use.įor businesses, OCR can significantly improve productivity – especially for departments that handle a large number of printed documents. Once pages are processed, the text they contain can be much more readily edited, searched, indexed, and retrieved.
Optical Character Recognition (OCR) is a form of technology that identifies the characters – like numbers and letters - included in an image.
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