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Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
github .com /tesseract-ocr. Tesseract is an optical character recognition engine for various operating systems. [ 5] It is free software, released under the Apache License. [ 1][ 6][ 7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in ...
This comparison of optical character recognition software includes: OCR engines, that do the actual character identification. Layout analysis software, that divide scanned documents into zones suitable for OCR. Graphical interfaces to one or more OCR engines. Software development kits that are used to add OCR capabilities to other software (e.g ...
Overview. Time period. Summary. 1870–1931. Earliest ideas of optical character recognition (OCR) are conceived. Fournier d'Albe's Optophone and Tauschek's Reading Machine are developed as devices to help the blind read. [1] 1931–1954. First OCR tools are invented and applied in industry, able to interpret Morse code and read text out loud.
Optical character recognition (OCR) is commonly considered to apply to any recognition technique that reads machine printed text. An example of a traditional OCR use case would be to translate the characters from an image of a printed document, such as a book page, newspaper clipping, or legal contract, into a separate file that could be ...
Typically, in addition to the scanning utility, some type of image-editing application (such as Adobe Photoshop), and optical character recognition (OCR) software are supplied. OCR software converts graphical images of text into standard text that can be edited using common word-processing and text-editing software; accuracy is rarely perfect.
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