Extraction of Relevant Information from Document Images Using Measures of Visual Attention

@inproceedings{Maderlechner2000ExtractionOR,
  title={Extraction of Relevant Information from Document Images Using Measures of Visual Attention},
  author={Gerd Maderlechner and Angela Schreyer and Peter Suda},
  booktitle={ICPR},
  year={2000}
}
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as texture in different resolution levels. A new measure of attractiveness is introduced. The segmentation is generic and not limited to specific document classes and models. The resulting regions of interest may be used for further interpretation. The overall speed of browsing and searching large volumes of scanned… CONTINUE READING

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Showing 1-7 of 7 references

The Function of Documents

  • D. Doermann, E. Revlin, A. Rosenfeld
  • Image and Vision Computing,
  • 1998
1 Excerpt

The Visual Analysis of Pages of Text" in R. Sassoon: Computers and Typography

  • R. Watt
  • Intellect Books,
  • 1993
2 Excerpts

Emptoz : " Logarithmic Spiral Grid and Gaze Control for the Development of Strategies of Visual Segmentation on a Document "

  • H. V. Eglin
  • " Font Style Detection Using Textons " , Proc…
  • 1988

Maderlechner: "Font Style Detection Using Textons

  • A. Schreyer, G. P. Suda
  • Proc. DAS, Nov. 1988 in Nagano, pp
  • 1988
1 Excerpt

Cognitive Psychology and its Implications

  • J. R. Anderson
  • San Francisco,
  • 1947
2 Excerpts

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