Extracting halftones from printed documents using texture analysis

Dennis F. Dunn, Thomas P. Weldon, William Evan Higgins

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

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 isolated by thresholding. We propose a filter-design procedure and provide experimental results.

Original languageEnglish (US)
Pages225-228
Number of pages4
StatePublished - Dec 1 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: Sep 16 1996Sep 19 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period9/16/969/19/96

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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