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ACIVS
2010
Springer

Watershed Based Document Image Analysis

9 years 1 months ago
Watershed Based Document Image Analysis
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing document image analysis approaches and discuss their limits. Then we adapt the well-known watershed segmentation in order to obtain a very fast and efficient classification. Finally, we compare our algorithm with three others, by running all the algorithms on a set of document images and comparing their results with a ground-truth segmentation designed by hand. Results show that the proposed algorithm is the fastest and obtains the best quality scores.
Pasha Shadkami, Nicolas Bonnier
Added 28 Feb 2011
Updated 28 Feb 2011
Type Journal
Year 2010
Where ACIVS
Authors Pasha Shadkami, Nicolas Bonnier
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