The scanner's ability to translate typewriter characters into bit-mapped image into ASCII text depends on a number of factors, including the sensitivity of the device itself and the legibility and method of preparation of the original document; however, improvements are being made all of the time and even formerly graphic-based scanning systems such as Adobe's notoriously slow PDF applications have incorporated character recognition systems that allow for textual scanning. Some of these character recognition systems incorporate features that provide output options to convert the text into a format used by common word-processing programs such as RTF, Word and so forth. According to Dry and Lawler, the term "scanning" is frequently used today to describe the process of creating digitized images; in this approach, a graphic picture of the page, rather than an actual transcription of the text itself, is stored in the computer. "While this provides an effective means of delivering text for reading, the text itself in such an image cannot be processed in any way by the computer," they say (Dry & Lawler, p. 106).
Magnetic Ink Character Recognition. Anyone who has ever written or received a check has been the beneficiary of magnetic ink character recognition (MICR) technology. MICR employs a special type of magnetic ink that is typically used on checks and other documents to allow them to be automatically sorted and the characters to be read and fed into a computer.
The technology was first introduced in the 1950's, when Bank of America started using MICR techniques to improve their check processing capabilities. According to William Serrin, "Machine-readable numbers began appearing on checks the number of a check and of the bank account as well as the bank's routing number. Reader-sorter machines were developed, and checks could be handled more quickly and by fewer workers. Productivity increased, costs were reduced" (p. 50). The MICR is comprised of two distinct components, the character set that is used and the type of ink. In his essay, "Check Imaging: Banks Are Getting the Picture," Mark Arend predicted in 1992 that, "Banks that believed in imaging's potential all along are being rewarded now, because they are among the first to see significant reductions in check processing costs. Image-based systems, which reduce the physical handling of paper checks, are now becoming commercially available, and in time, they are likely to redefine check processing" (p. 44). This prediction has certain proved accurate, and today MICR applications abound.
Optical Mark Recognition. Optical mark recognition (OMR) applications represent one of the earliest efforts at automated data capture and have typically been used in academic and other settings where standard responses are recorded; for example, where students mark their tests "using a number two pencil only" (Tansey, 2002, p. 148).
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Current Technology. In the 1980s, many companies had started using statistical process control (SPC) techniques as part of the broader Total Quality Management (TQM) practices that were becoming common practice in most manufacturing industries. According to Cortada (2004), "These kinds of data provided automated systems with early warning of out-of-control situations. By the end of the century, all [manufacturing companies] had engineering databases, bar codes, magnetic cards, and sensors to track inventories. They had very effective software to provide in-line yield analysis by deploying digital image-processing and laser-scanning machines to inspect chips and wafers in various stages of fabrication" (p. 37). Further innovations in design and manufacturing instructions have resulted in computers-assisted techniques that are used to improve data capture and processing methods across the board. These innovations include bar codes, radio frequency identification
Bar Codes. According to "Bar Coding Basics" (2005), "Bar codes are a fast, easy and accurate data entry method used in the process known as automatic data collection. Bar coding enables products to be tracked efficiently and accurately at speeds not possible using manual data entry systems" (p. 1). The key advantages of using bar codes is the same as those discussed previously and involve the automated collection of data that was previously accomplished manually. Bar Coding Basic points out that the "primary benefit of this process is that it is truly automatic, occurring instantaneously as a transaction or process takes place, commonly referred to as real-time data capture and exchange within the industry. Improved accuracy is yet another benefit" (p. 2). Research has shown that the entry and read error rates are reduced dramatically when using such...
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