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Matching of Graphical Symbols in Line-Drawing Images Using Angular Signature Information

Identifieur interne : 003909 ( Crin/Curation ); précédent : 003908; suivant : 003910

Matching of Graphical Symbols in Line-Drawing Images Using Angular Signature Information

Auteurs : Salvatore Tabbone ; Laurent Wendling ; Karl Tombre

Source :

RBID : CRIN:tabbone03e

English descriptors

Abstract

In this paper, a method for matching complex objects in line drawings is presented.Our approach is based on the notion of \mathcal{F}-signatures, which are a special kind of histograms of forces~\cite{matsakis98,matsakis99a,wendling02}. Such histograms have low time complexity and describe signatures which are invariant to fundamental geometrical transformations such as scaling, translation, symmetry and rotation. This article presents a new application of this notion, in the field of symbol identification and recognition. To improve the efficiency of matching, we propose to use an approximation of the \mathcal{F}-signature from Fourier series, and the associated matching.

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CRIN:tabbone03e

Le document en format XML

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<name sortKey="Wendling, Laurent" sort="Wendling, Laurent" uniqKey="Wendling L" first="Laurent" last="Wendling">Laurent Wendling</name>
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<name sortKey="Tombre, Karl" sort="Tombre, Karl" uniqKey="Tombre K" first="Karl" last="Tombre">Karl Tombre</name>
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<term>force histogramm ; matching</term>
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<div type="abstract" xml:lang="en" wicri:score="3056">In this paper, a method for matching complex objects in line drawings is presented.Our approach is based on the notion of \mathcal{F}-signatures, which are a special kind of histograms of forces~\cite{matsakis98,matsakis99a,wendling02}. Such histograms have low time complexity and describe signatures which are invariant to fundamental geometrical transformations such as scaling, translation, symmetry and rotation. This article presents a new application of this notion, in the field of symbol identification and recognition. To improve the efficiency of matching, we propose to use an approximation of the \mathcal{F}-signature from Fourier series, and the associated matching.</div>
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<e>Tabbone, Salvatore</e>
<e>Wendling, Laurent</e>
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<title>Matching of Graphical Symbols in Line-Drawing Images Using Angular Signature Information</title>
<journal>International Journal on Document Analysis and Recognition</journal>
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<pages>115-125</pages>
<month>Oct</month>
<keywords>
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<e>force histogramm ; matching</e>
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<abstract>In this paper, a method for matching complex objects in line drawings is presented.Our approach is based on the notion of \mathcal{F}-signatures, which are a special kind of histograms of forces~\cite{matsakis98,matsakis99a,wendling02}. Such histograms have low time complexity and describe signatures which are invariant to fundamental geometrical transformations such as scaling, translation, symmetry and rotation. This article presents a new application of this notion, in the field of symbol identification and recognition. To improve the efficiency of matching, we propose to use an approximation of the \mathcal{F}-signature from Fourier series, and the associated matching.</abstract>
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