Watershed Based Document Image Analysis
Identifieur interne : 000638 ( Main/Exploration ); précédent : 000637; suivant : 000639Watershed Based Document Image Analysis
Auteurs : Pasha Shadkami [France] ; Nicolas Bonnier [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/978-3-642-17688-3_12
Affiliations:
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Le document en format XML
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