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Proceedings Paper

Enhancement of document images from cameras
Author(s): Michael J. Taylor; Christopher R. Dance
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Paper Abstract

As digital cameras become cheaper and more powerful, driven by the consumer digital photography market, we anticipate significant value in extending their utility as a general office peripheral by adding a paper scanning capability. The main technical challenges in realizing this new scanning interface are insufficient resolution, blur and lighting variations. We have developed an efficient technique for the recovery of text from digital camera images, which simultaneously treats these three problems, unlike other local thresholding algorithms which do not cope with blur and resolution enhancement. The technique first performs deblurring by deconvolution, and then resolution enhancement by linear interpolation. We compare the performance of a threshold derived from the local mean and variance of all pixel values within a neighborhood with a threshold derived from the local mean of just those pixels with high gradient. We assess performance using OCR error scores.

Paper Details

Date Published: 1 April 1998
PDF: 12 pages
Proc. SPIE 3305, Document Recognition V, (1 April 1998); doi: 10.1117/12.304635
Show Author Affiliations
Michael J. Taylor, Xerox Research Ctr. Europe (United Kingdom)
Christopher R. Dance, Xerox Research Ctr. Europe (United Kingdom)

Published in SPIE Proceedings Vol. 3305:
Document Recognition V
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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