Document Image Processing
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document image processing
[¦däk·yə·mənt ′im·ij ‚prä‚ses·iŋ] (computer science)
The scanning of paper documents followed by the storage, retrieval, display, and management of the resulting electronic images. Also known as document imaging.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
Document Image Processing
(DIP) Storage, management and retrieval of images.
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)
document imaging
The online storage, retrieval and management of electronic images of documents. The main method of capturing images is by scanning paper documents.
Document imaging systems replace large paper-intensive operations. Documents can be shared by all users on a network and document routing can be controlled by the computer (workflow). The systems are often simpler to develop and implement than traditional data processing systems, because users are already familiar with the paper documents that appear on screen.
Primarily Graphics
Document images are stored as bitmapped graphics, and although a small amount of text (keywords) may be associated with the document in order to index it, the meaning of the document content is known only to the human viewer, not the computer. Like microfilm, signatures and other original markings remain intact. See document management system.
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| Document Imaging Takes Storage Space |
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| When a page of text is scanned, it takes up much more storage space than if the text were typed in because each text character takes only one byte of storage. When paper documents are scanned, they are turned into digital pictures. Depending on the resolution required, a scanned page can take 50 times as much storage as the ASCII characters of the text they contain. |
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References in periodicals archive
In a contest of handwritten Chinese character recognition, the results of which are to be presented at the International Conference on Document Analysis and Recognition (ICDAR 2013), the world's largest international conference on
document image processing, this technology demonstrated the best-ever Chinese character-recognition accuracy of 94.8 percent, resulting in a number-one ranking.
Document image processing is now an established field within the electronic imaging world.
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