Segmenting and Indexing Old Documents Using a Letter Extraction
Identifieur interne : 000677 ( Main/Exploration ); précédent : 000676; suivant : 000678Segmenting and Indexing Old Documents Using a Letter Extraction
Auteurs : Mickael Coustaty [France] ; Sloven Dubois [France] ; Jean-Marc Ogier [France] ; Michel Menard [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: This paper presents a new method to extract areas of interest in drop caps and particularly the most important shape: Letter itself. This method relies on a combination of a Aujol and Chambolle algorithm and a Segmentation using a Zipf Law and can be enhanced as a three-step process: 1)Decomposition in layers 2)Segmentation using a Zipf Law 3)Selection of the connected components.
Url:
DOI: 10.1007/978-3-642-13728-0_13
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: This paper presents a new method to extract areas of interest in drop caps and particularly the most important shape: Letter itself. This method relies on a combination of a Aujol and Chambolle algorithm and a Segmentation using a Zipf Law and can be enhanced as a three-step process: 1)Decomposition in layers 2)Segmentation using a Zipf Law 3)Selection of the connected components.</div>
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