Serveur d'exploration sur la recherche en informatique en Lorraine

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Vectorial Signatures for Symbol Discrimination

Identifieur interne : 006C17 ( Main/Merge ); précédent : 006C16; suivant : 006C18

Vectorial Signatures for Symbol Discrimination

Auteurs : Philippe Dosch ; Josep Llad

Source :

RBID : CRIN:dosch04a

English descriptors

Abstract

In this paper, we present a method based on vectorial signatures, which aims at discriminating, by a fast technique, symbols represented within technical documents. Considering a raw vectorial description of the graphical layer of a technical document, we have based our approach on a method proposed by Etemadi et al. The signature of all models of symbols that could be found in a given document are computed and matched against the signature of the document, in order to determine what symbols the document is likely to contain. A quality factor associated with each relation is used to prune relations whose quality factor is too low. We present the first tests obtained with this method, and we discuss the improvements we plan to do.

Links toward previous steps (curation, corpus...)


Links to Exploration step

CRIN:dosch04a

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" wicri:score="344">Vectorial Signatures for Symbol Discrimination</title>
</titleStmt>
<publicationStmt>
<idno type="RBID">CRIN:dosch04a</idno>
<date when="2004" year="2004">2004</date>
<idno type="wicri:Area/Crin/Corpus">003F05</idno>
<idno type="wicri:Area/Crin/Curation">003F05</idno>
<idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">003F05</idno>
<idno type="wicri:Area/Crin/Checkpoint">000742</idno>
<idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">000742</idno>
<idno type="wicri:Area/Main/Merge">006C17</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Vectorial Signatures for Symbol Discrimination</title>
<author>
<name sortKey="Dosch, Philippe" sort="Dosch, Philippe" uniqKey="Dosch P" first="Philippe" last="Dosch">Philippe Dosch</name>
</author>
<author>
<name sortKey="Llad, Josep" sort="Llad, Josep" uniqKey="Llad J" first="Josep" last="Llad">Josep Llad</name>
</author>
</analytic>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>symbol discrimination</term>
<term>symbol recognition</term>
<term>technical drawings</term>
<term>vectorial signatures</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en" wicri:score="2175">In this paper, we present a method based on vectorial signatures, which aims at discriminating, by a fast technique, symbols represented within technical documents. Considering a raw vectorial description of the graphical layer of a technical document, we have based our approach on a method proposed by Etemadi et al. The signature of all models of symbols that could be found in a given document are computed and matched against the signature of the document, in order to determine what symbols the document is likely to contain. A quality factor associated with each relation is used to prune relations whose quality factor is too low. We present the first tests obtained with this method, and we discuss the improvements we plan to do.</div>
</front>
</TEI>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 006C17 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 006C17 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     CRIN:dosch04a
   |texte=   Vectorial Signatures for Symbol Discrimination
}}

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Jun 10 21:56:28 2019. Site generation: Fri Feb 25 15:29:27 2022