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Optical Engineering

Extracting halftones from printed documents using texture analysis
Author(s): Dennis F. Dunn; Thomas P. Weldon; William E. Higgins
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Paper Abstract

Separating halftones from text is an important step in document analysis. We present an algorithm that accurately extracts halftones from other information in printed documents. We treat halftone extraction as a texture-segmentation problem. We show that commonly used halftones, consisting of a pattern of dots, can be viewed as a texture. This texture exhibits a distinct spectral component that can be detected using a properly tuned Gabor filter. The Gabor filter essentially transforms halftones into high-contrast regions that can be easily segmented by thresholding. We propose a filter design procedure and provide experimental results.

Paper Details

Date Published: 1 April 1997
PDF: 9 pages
Opt. Eng. 36(4) doi: 10.1117/1.601289
Published in: Optical Engineering Volume 36, Issue 4
Show Author Affiliations
Dennis F. Dunn, The Pennsylvania State Univ. (United States)
Thomas P. Weldon, Univ. of North Carolina (United States)
William E. Higgins, The Pennsylvania State Univ. (United States)

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