Serveur d'exploration sur la recherche en informatique en Lorraine

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Line and Cell Searching in Tables or Forms

Identifieur interne : 00C543 ( Main/Exploration ); précédent : 00C542; suivant : 00C544

Line and Cell Searching in Tables or Forms

Auteurs : E. Turolla ; Y. Belaïd ; Abdel Belaïd [France]

Source :

RBID : CRIN:turolla95b

English descriptors

Abstract

Item searching is an important step in form analysis. The goal of this paper is to describe a robust method to locate the items whose boundaries are black lines, and an algorithm to classify those items. Our method is based on detection of lines by Hough transform and on searching of cycles in a graph that represents the cells (boundaries of the items). We will show that our approach is robust, skew independent and can be applied to several kind of lines such as continuous, dashed, doubled, etc. We classify the items in four categories : blank, black, gray and meaningful.


Affiliations:


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


Le document en format XML

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<title xml:lang="en" wicri:score="176">Line and Cell Searching in Tables or Forms</title>
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<date when="1995" year="1995">1995</date>
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<title xml:lang="en">Line and Cell Searching in Tables or Forms</title>
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<name sortKey="Turolla, E" sort="Turolla, E" uniqKey="Turolla E" first="E." last="Turolla">E. Turolla</name>
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<author>
<name sortKey="Belaid, Y" sort="Belaid, Y" uniqKey="Belaid Y" first="Y." last="Belaïd">Y. Belaïd</name>
</author>
<author>
<name sortKey="Belaid, A" sort="Belaid, A" uniqKey="Belaid A" first="A." last="Belaïd">Abdel Belaïd</name>
<affiliation>
<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
<orgName type="institution">Centre national de la recherche scientifique</orgName>
<orgName type="institution">Institut national de recherche en informatique et en automatique</orgName>
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<keywords scheme="KwdEn" xml:lang="en">
<term>French tex form</term>
<term>Hough transform</term>
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<term>line searching</term>
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<front>
<div type="abstract" xml:lang="en" wicri:score="1306">Item searching is an important step in form analysis. The goal of this paper is to describe a robust method to locate the items whose boundaries are black lines, and an algorithm to classify those items. Our method is based on detection of lines by Hough transform and on searching of cycles in a graph that represents the cells (boundaries of the items). We will show that our approach is robust, skew independent and can be applied to several kind of lines such as continuous, dashed, doubled, etc. We classify the items in four categories : blank, black, gray and meaningful.</div>
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Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 00C543 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 00C543 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     CRIN:turolla95b
   |texte=   Line and Cell Searching in Tables or Forms
}}

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Data generation: Mon Jun 10 21:56:28 2019. Site generation: Fri Feb 25 15:29:27 2022