Papers on "Imaging and Optics" and similar term paper topics
Paper #063356 ::
Imaging and Optics
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This paper discusses the way imaging and optics technologies are revolutionizing the way businesses communicate their products to the consumer.
Written in 2005; 6,020 words; 20 sources; APA;
$ 142.95
Paper Summary:
This paper explains that imaging and optics technologies have provided a wide range of industries with the ability to label, track and prevent bad documentation to their products in a more efficient and economically sound business. The author points out that "automatic identification", the means of identifying a product mechanically and entering the data obtained automatically into a computer, includes bar codes, optical character recognition (OCR), magnetic ink character recognition (MICR), magnetic stripes and voice systems. The paper relates that a problem with voice recognition applications is that it can be affected by environmental factors such as background noise; however, this technology has been the focus of considerable efforts on the part of the telecommunications industry and the U.S. government's intelligence community, which continue to work on improving reliability. illustrations
Table of Contents
Purpose
Thesis
Audience
Introduction
Overview and Background
Introduction to Topic
Why Imaging and Optics are Important
What Imaging and Optics has done for Different Industries
Imaging and Optics Technology
Automatic Identification and Data Capture
Character Recognition
Magnetic Ink Character Recognition
Optical Mark Recognition
Current Technology
Bar Codes
RFID
Card Technologies
Non-Mainstream of Imaging and Optics
Introduction
Overview
Why these Technologies are not yet Mainstream
Emerging Biometric Technologies: Three Common Ways of Identifying an Individual
Voice Recognition
Recognition Types and Modes
Problems with Voice Recognition
Fingerprint
Pattern Extraction/Pattern Matching
Iris Code
Advantages/Disadvantages
Conclusion
From the Paper:
"By the beginning of the 1980s, various optical character recognition (OCR) technologies became available that made it possible to convert text to electronic form without the need for manual keyboarding. 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."
Keywords:
scanning recognition bio-metrics problems documentation
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