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Optical character recognition OCR

If a case report form must be used, the form can be scanned or faxed into a computer system. This form is then read using optical character recognition (OCR) and converted to raw data. The accuracy of OCR applications is high, but the data must be checked to ensure quality. The OCR software can have problems with ambiguous data. For example, the letter 1 and number 1 can look the same on paper. The elimination of the data entry step saves both time and money. Careful design of the case report form and good instructions to the end user will minimize entry errors. [Pg.433]

The semiconductor industry has become the largest user of automated vision systems. A silicon wafer that will become hundreds of microchips starts as a finely machined disc about 7.9 in (200 mm) in diameter. Before the disc is split into individual chips, the wafer undergoes dozens of steps—some of which are indiscernible by the human eye. To ensure the wafer maintains that sequence, sorting systems using optical character recognition (OCR) identify each wafer, sort it in a clean room environment and report the results to a central network. [Pg.186]

Automated optical character recognition (OCR) combined with speech synthesis grants access to the most common printed materials (letters, office memorandums,biUs), which are seldom available in Braille or narrated-tape format First popularized in the Kurzweil reading machine, this marriage of technologies is combined with a complex set of lexical, phonetic, and syntactic rules to produce understandable speech from a wide variety of, but not aU, print styles. [Pg.1175]

Automatic letter-sorting machine (Jacob Rabinow) Rabinow s machine greatly increased the speed and efficiency of mail delivery in the United States. He also invented an optical character recognition (OCR) scanner. [Pg.2066]

Optical Character Recognition (OCR) and Document Image Analysis... [Pg.2084]

Optical scanning, both optical character recognition (OCR) and bit mapping, is important. New algorithms for lossless (5 1-2 1) and lossy (>20 1) storage compression are powerful tools for conserving space. Many scientific textual applications can use bitonal compression. [Pg.864]


See other pages where Optical character recognition OCR is mentioned: [Pg.598]    [Pg.211]    [Pg.140]    [Pg.53]    [Pg.541]    [Pg.545]    [Pg.556]    [Pg.16]    [Pg.80]    [Pg.390]    [Pg.58]    [Pg.58]    [Pg.2084]    [Pg.1255]    [Pg.199]    [Pg.132]    [Pg.250]   
See also in sourсe #XX -- [ Pg.180 , Pg.598 , Pg.601 ]




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Optical character recognition

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