Recognition-based segmentation of Nom characters from body text regions of stele images using area Voronoi diagram
Identifieur interne : 003505 ( Main/Merge ); précédent : 003504; suivant : 003506Recognition-based segmentation of Nom characters from body text regions of stele images using area Voronoi diagram
Auteurs : Thai V. Hoang [France] ; Salvatore Tabbone [France] ; Ngoc-Yen Pham [France]Source :
Abstract
Segmentation of Nom characters from body text regions of stele images is a challenging problem due to the confusing spatial distribution of the connected components composing these characters. In this paper, for each vertical text line, area Voronoi diagram is employed to represent the neighborhood of the connected components and Voronoi edges are used as nonlinear segmentation hypotheses. Characters are then segmented by selecting appropriate adjacent Voronoi regions. For this purpose, we utilize the information about the horizontal overlap of connected components and the recognition distances of candidate characters provided by an OCR engine. Experimental results show that the proposed method is highly accurate and robust to various types of stele.
Url:
DOI: 10.1007/978-3-642-03767-2
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<author><name sortKey="Pham, Ngoc Yen" sort="Pham, Ngoc Yen" uniqKey="Pham N" first="Ngoc-Yen" last="Pham">Ngoc-Yen Pham</name>
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<orgName>Centre National de la Recherche Scientifique</orgName>
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<tutelle active="#struct-51016" type="direct"><org type="institution" xml:id="struct-51016" status="OLD"><orgName>Université Joseph Fourier</orgName>
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<desc><address><addrLine>BP 53 - 38041 Grenoble Cedex 9</addrLine>
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<ref type="url">http://www.ujf-grenoble.fr/</ref>
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</address>
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<country>France</country>
<placeName><settlement type="city">Grenoble</settlement>
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<idno type="DOI">10.1007/978-3-642-03767-2</idno>
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<front><div type="abstract" xml:lang="en">Segmentation of Nom characters from body text regions of stele images is a challenging problem due to the confusing spatial distribution of the connected components composing these characters. In this paper, for each vertical text line, area Voronoi diagram is employed to represent the neighborhood of the connected components and Voronoi edges are used as nonlinear segmentation hypotheses. Characters are then segmented by selecting appropriate adjacent Voronoi regions. For this purpose, we utilize the information about the horizontal overlap of connected components and the recognition distances of candidate characters provided by an OCR engine. Experimental results show that the proposed method is highly accurate and robust to various types of stele.</div>
</front>
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