OcrV1, France, Analysis, bibRecord, 000280

Form Analysis by Neural Classification of Cells

Identifieur interne : 000280 ( France/Analysis ); précédent : 000279; suivant : 000281

Form Analysis by Neural Classification of Cells

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

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.

RBID : ISTEX:7454A7FE97EF683EB2758D3595AC4105D01D6AF8

Abstract

Abstract: Our aim in this paper is to present a generic approach for linearly combining multi neural classifier for cell analysis of forms. This approach can be applied in a preprocessing step in order to highlight the different kind of information filled in the form and to determine the appropriate treatment. Features used for the classification are relative to the text orientation and to its character morphology. Eight classes are extracted among numeric, alphabetic, vertical, horizontal, capitals, etc. Classifiers are multi-layered perceptrons considering firstly global features and refining the classification at each step by looking for more precise features. The recognition rate of the classifiers for 3. 500 cells issued from 19 forms is about 91%.

Url:

https://api.istex.fr/document/7454A7FE97EF683EB2758D3595AC4105D01D6AF8/fulltext/pdf

DOI: 10.1007/3-540-48172-9_6

Affiliations:

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

to stream Istex, to step Corpus: 003330
to stream Istex, to step Curation: 003077
to stream Istex, to step Checkpoint: 001531
to stream Main, to step Merge: 002089
to stream Main, to step Curation: 001F80
to stream Main, to step Exploration: 001F80
to stream France, to step Extraction: 000280

Links to Exploration step

ISTEX:7454A7FE97EF683EB2758D3595AC4105D01D6AF8

Le document en format XML

<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Form Analysis by Neural Classification of Cells</title>
<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">Alsace-Champagne-Ardenne-Lorraine</region>
<region type="region" nuts="2">Région Lorraine</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>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:7454A7FE97EF683EB2758D3595AC4105D01D6AF8</idno>
<date when="1999" year="1999">1999</date>
<idno type="doi">10.1007/3-540-48172-9_6</idno>
<idno type="url">https://api.istex.fr/document/7454A7FE97EF683EB2758D3595AC4105D01D6AF8/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">003330</idno>
<idno type="wicri:Area/Istex/Curation">003077</idno>
<idno type="wicri:Area/Istex/Checkpoint">001531</idno>
<idno type="wicri:doubleKey">0302-9743:1999:Belaid Y:form:analysis:by</idno>
<idno type="wicri:Area/Main/Merge">002089</idno>
<idno type="wicri:Area/Main/Curation">001F80</idno>
<idno type="wicri:Area/Main/Exploration">001F80</idno>
<idno type="wicri:Area/France/Extraction">000280</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Form Analysis by Neural Classification of Cells</title>
<author><name sortKey="Belaid, Y" sort="Belaid, Y" uniqKey="Belaid Y" first="Y." last="Belaïd">Y. Belaïd</name>
<affiliation wicri:level="1"><country xml:lang="fr">France</country>
<wicri:regionArea>Campus scientifique, 54506 Vandoeuvre-l`es-Nancy, B.P. 239, Cedex</wicri:regionArea>
<wicri:noRegion>Cedex</wicri:noRegion>
<wicri:noRegion>Cedex</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">France</country>
</affiliation>
</author>
<author><name sortKey="Belaid, A" sort="Belaid, A" uniqKey="Belaid A" first="A." last="Belaïd">Abdel Belaïd</name>
<affiliation wicri:level="1"><country xml:lang="fr">France</country>
<wicri:regionArea>Campus scientifique, 54506 Vandoeuvre-l`es-Nancy, B.P. 239, Cedex</wicri:regionArea>
<wicri:noRegion>Cedex</wicri:noRegion>
<wicri:noRegion>Cedex</wicri:noRegion>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Alsace-Champagne-Ardenne-Lorraine</region>
<region type="region" nuts="2">Région Lorraine</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>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">France</country>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Alsace-Champagne-Ardenne-Lorraine</region>
<region type="region" nuts="2">Région Lorraine</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>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>1999</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">7454A7FE97EF683EB2758D3595AC4105D01D6AF8</idno>
<idno type="DOI">10.1007/3-540-48172-9_6</idno>
<idno type="ChapterID">6</idno>
<idno type="ChapterID">Chap6</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: Our aim in this paper is to present a generic approach for linearly combining multi neural classifier for cell analysis of forms. This approach can be applied in a preprocessing step in order to highlight the different kind of information filled in the form and to determine the appropriate treatment. Features used for the classification are relative to the text orientation and to its character morphology. Eight classes are extracted among numeric, alphabetic, vertical, horizontal, capitals, etc. Classifiers are multi-layered perceptrons considering firstly global features and refining the classification at each step by looking for more precise features. The recognition rate of the classifiers for 3. 500 cells issued from 19 forms is about 91%.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Alsace-Champagne-Ardenne-Lorraine</li>
<li>Région Lorraine</li>
</region>
<settlement><li>Nancy</li>
</settlement>
<orgName><li>Centre national de la recherche scientifique</li>
<li>Institut national de recherche en informatique et en automatique</li>
<li>Laboratoire lorrain de recherche en informatique et ses applications</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><noRegion><name sortKey="Belaid, Y" sort="Belaid, Y" uniqKey="Belaid Y" first="Y." last="Belaïd">Y. Belaïd</name>
</noRegion>
<name sortKey="Belaid, A" sort="Belaid, A" uniqKey="Belaid A" first="A." last="Belaïd">Abdel Belaïd</name>
<name sortKey="Belaid, A" sort="Belaid, A" uniqKey="Belaid A" first="A." last="Belaïd">Abdel Belaïd</name>
<name sortKey="Belaid, Y" sort="Belaid, Y" uniqKey="Belaid Y" first="Y." last="Belaïd">Y. Belaïd</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/France/Analysis

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000280 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000280 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    France
   |étape=   Analysis
   |type=    RBID
   |clé=     ISTEX:7454A7FE97EF683EB2758D3595AC4105D01D6AF8
   |texte=   Form Analysis by Neural Classification of Cells
}}

This area was generated with Dilib version V0.6.32.
Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024

	Serveur d'exploration sur l'OCR
	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.

Serveur d'exploration sur l'OCR

Form Analysis by Neural Classification of Cells

Form Analysis by Neural Classification of Cells

Source :

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri