![]() On January 13, 1976, the successful finished product was unveiled during a widely reported news conference headed by Kurzweil and the leaders of the National Federation of the Blind. This device required the invention of two enabling technologies – the CCD flatbed scanner and the text-to-speech synthesizer. ) Kurzweil decided that the best application of this technology would be to create a reading machine for the blind, which would allow blind people to have a computer read text to them out loud. ![]() and continued development of omni- font OCR, which could recognize text printed in virtually any font (Kurzweil is often credited with inventing omni-font OCR, but it was in use by companies, including CompuScan, in the late 1960s and 1970s. In 1974, Ray Kurzweil started the company Kurzweil Computer Products, Inc. The patent was acquired by IBM.īlind and visually impaired users In 1931, he was granted USA Patent number 1,838,389 for the invention. 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 recognition accuracy for most fonts are now common, and with support for a variety of digital 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, printouts of static-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 on-line, and used in machine processes such as cognitive computing, machine translation, (extracted) text-to-speech, key data and text mining. It makes static material editable and does away with the necessity for human data entry. OCR software can extract data from scanned documents, camera photos, and image-only PDFs. The words in the image cannot be searched, edited, or counted, but you may use OCR to convert the image to a text document with the content stored as text. The scan is then saved as a picture on your computer. OCR may be seen in action when you use your computer to scan a receipt. It is a digital copier that uses automation to convert scanned documents into editable, shareable PDFs that are machine-readable. Video of the process of scanning and real-time optical character recognition (OCR) with a portable scannerĪ process called Optical Character Recognition (OCR) converts printed texts into digital image files.
0 Comments
Leave a Reply. |