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Proceedings Paper

Image quality, dollars, and very low contrast documents
Author(s): William E. Weideman
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Paper Abstract

Image quality of scanned documents is examined in the context of a data entry department reading data from the images with intelligent character recognition (ICR) equipment. First, the equipment and its use are reviewed. An economic model of the cost benefit of the ICR equipment is developed, and the cost benefit of a specific application is examined. To complete the analysis, a test deck of documents is used to measure the specific parameters that relate to image quality and the performance of the equipment. These results are analyzed to show the impact of image quality on operating costs. A novel image processing algorithm which dramatically improves the quality of one bit per pixel images is shown to work with very low contrast documents. It also works on documents with noisy and/or dark backgrounds. A comparison of the enhanced images to those produced by off the shelf scanners is then made with several test documents. A test is made of the ICR system with the new algorithm in place to produce high quality images. The impact of the use of image enhancement is then shown to increase significantly the cost benefit of using ICR equipment. This test substantiates the relationship of dollars to image quality of scanned documents.

Paper Details

Date Published: 1 February 1991
PDF: 9 pages
Proc. SPIE 1454, Beam Deflection and Scanning Technologies, (1 February 1991); doi: 10.1117/12.28021
Show Author Affiliations
William E. Weideman, Recognition Equipment, Inc. (United States)

Published in SPIE Proceedings Vol. 1454:
Beam Deflection and Scanning Technologies
Leo Beiser; Gerald F. Marshall, Editor(s)

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