Newspaper Document Analysis Featuring Connected Line Segmentation

Mitchell, P.E. and Yan, H.

This paper presents an algorithm designed to segment and classify newspaper documents. A notable feature of this algorithm is the ability to detect lines in the document including lines that are connected to other components. A bottom-up approach is used to segment the image into patterns, and then each pattern is classified into one of seven types. Complete regions are then formed from the classified patterns.

Cite as: Mitchell, P.E. and Yan, H. (2002). Newspaper Document Analysis Featuring Connected Line Segmentation. In Proc. Selected papers from 2001 Pan-Sydney Area Workshop on Visual Information Processing (VIP2001), Sydney, Australia. CRPIT, 11. Feng, D. D., Jin, J., Eades, P. and Yan, H., Eds. ACS. 77-81.

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