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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 ...
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
The development work for this product both with read heads and document handling, helped move optical character recognition forward, with development focusing on reading one or two lines of print from a paper document larger than an IBM punched card. [2] The first product to be released was the IBM 1418.
Optical character recognition software (1 C, 22 P) Pages in category "Optical character recognition" The following 40 pages are in this category, out of 40 total.
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 ...
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 mark recognition (OMR) is the scanning of paper to detect the presence or absence of a mark in a predetermined position. [4] Optical mark recognition has evolved from several other technologies. In the early 19th century and 20th century patents were given for machines that would aid the blind. [2]
[1] [2] The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available.
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