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The device included a CCD-type flatbed scanner and a text-to-speech synthesizer. ) Kurzweil used the technology to create a reading machine for blind people to have a computer read text to them out loud. (Kurzweil is often credited with inventing omni-font OCR, but it was in use by companies, including CompuScan, in the late 1960s and 1970s. and continued development of omni- font OCR, which could recognize text printed in virtually any font. In 1974, Ray Kurzweil started the company Kurzweil Computer Products, Inc. In 1931, he was granted US Patent number 1,838,389 for the invention.

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In the late 1920s and into the 1930s, Emanuel Goldberg developed what he called a 'Statistical Machine' for searching microfilm archives using an optical code recognition system. Concurrently, Edmund Fournier d'Albe developed the Optophone, a handheld scanner that when moved across a printed page, produced tones that corresponded to specific letters or characters.

In 1914, Emanuel Goldberg developed a machine that read characters and converted them into standard telegraph code. See also: Timeline of optical character recognitionĮarly optical character recognition may be traced to technologies involving telegraphy and creating reading devices for the blind. Some systems are capable of reproducing formatted output that closely approximates the original page including images, columns, and other non-textual components.

Advanced systems capable of producing a high degree of accuracy for most fonts are now common, and with support for a variety of image file format inputs. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.Įarly versions needed to be trained with images of each character, and worked on one font at a time. Widely used as a form of data entry from printed paper data records – whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printed data, or any suitable documentation – it is a common method of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed online, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. 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 billboards in a landscape photo) or from subtitle text superimposed on an image (for example: from a television broadcast).

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Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner