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.

Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure

Identifieur interne : 000471 ( Main/Exploration ); précédent : 000470; suivant : 000472

Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure

Auteurs : David Fernández [Espagne] ; Josep Llad S [Espagne] ; Alicia Fornés [Espagne]

Source :

RBID : ISTEX:14D20D04243AE48B79B73C97EF66A29920E84982

Abstract

Abstract: There are lots of historical handwritten documents with information that can be used for several studies and projects. The Document Image Analysis and Recognition community is interested in preserving these documents and extracting all the valuable information from them. Handwritten word-spotting is the pattern classification task which consists in detecting handwriting word images. In this work, we have used a query-by-example formalism: we have matched an input image with one or multiple images from handwritten documents to determine the distance that might indicate a correspondence. We have developed an approach based in characteristic Loci Features stored in a hash structure. Document images of the marriage licences of the Cathedral of Barcelona are used as the benchmarking database.

Url:
DOI: 10.1007/978-3-642-21257-4_78


Affiliations:


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


Le document en format XML

<record>
<TEI wicri:istexFullTextTei="biblStruct">
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure</title>
<author>
<name sortKey="Fernandez, David" sort="Fernandez, David" uniqKey="Fernandez D" first="David" last="Fernández">David Fernández</name>
</author>
<author>
<name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name>
</author>
<author>
<name sortKey="Fornes, Alicia" sort="Fornes, Alicia" uniqKey="Fornes A" first="Alicia" last="Fornés">Alicia Fornés</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:14D20D04243AE48B79B73C97EF66A29920E84982</idno>
<date when="2011" year="2011">2011</date>
<idno type="doi">10.1007/978-3-642-21257-4_78</idno>
<idno type="url">https://api.istex.fr/document/14D20D04243AE48B79B73C97EF66A29920E84982/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001297</idno>
<idno type="wicri:Area/Istex/Curation">001220</idno>
<idno type="wicri:Area/Istex/Checkpoint">000128</idno>
<idno type="wicri:doubleKey">0302-9743:2011:Fernandez D:handwritten:word:spotting</idno>
<idno type="wicri:Area/Main/Merge">000477</idno>
<idno type="wicri:Area/Main/Curation">000471</idno>
<idno type="wicri:Area/Main/Exploration">000471</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title level="a" type="main" xml:lang="en">Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure</title>
<author>
<name sortKey="Fernandez, David" sort="Fernandez, David" uniqKey="Fernandez D" first="David" last="Fernández">David Fernández</name>
<affiliation wicri:level="4">
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Computer Vision Center – Dept. Ciències de la Computació, Universitat Autònoma de Barcelona</wicri:regionArea>
<placeName>
<settlement type="city">Barcelone</settlement>
<region nuts="2" type="region">Catalogne</region>
</placeName>
<orgName type="university">Université autonome de Barcelone</orgName>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">Espagne</country>
</affiliation>
</author>
<author>
<name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name>
<affiliation wicri:level="4">
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Computer Vision Center – Dept. Ciències de la Computació, Universitat Autònoma de Barcelona</wicri:regionArea>
<placeName>
<settlement type="city">Barcelone</settlement>
<region nuts="2" type="region">Catalogne</region>
</placeName>
<orgName type="university">Université autonome de Barcelone</orgName>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">Espagne</country>
</affiliation>
</author>
<author>
<name sortKey="Fornes, Alicia" sort="Fornes, Alicia" uniqKey="Fornes A" first="Alicia" last="Fornés">Alicia Fornés</name>
<affiliation wicri:level="4">
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Computer Vision Center – Dept. Ciències de la Computació, Universitat Autònoma de Barcelona</wicri:regionArea>
<placeName>
<settlement type="city">Barcelone</settlement>
<region nuts="2" type="region">Catalogne</region>
</placeName>
<orgName type="university">Université autonome de Barcelone</orgName>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">Espagne</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series>
<title level="s">Lecture Notes in Computer Science</title>
<imprint>
<date>2011</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">14D20D04243AE48B79B73C97EF66A29920E84982</idno>
<idno type="DOI">10.1007/978-3-642-21257-4_78</idno>
<idno type="ChapterID">78</idno>
<idno type="ChapterID">Chap78</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: There are lots of historical handwritten documents with information that can be used for several studies and projects. The Document Image Analysis and Recognition community is interested in preserving these documents and extracting all the valuable information from them. Handwritten word-spotting is the pattern classification task which consists in detecting handwriting word images. In this work, we have used a query-by-example formalism: we have matched an input image with one or multiple images from handwritten documents to determine the distance that might indicate a correspondence. We have developed an approach based in characteristic Loci Features stored in a hash structure. Document images of the marriage licences of the Cathedral of Barcelona are used as the benchmarking database.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Espagne</li>
</country>
<region>
<li>Catalogne</li>
</region>
<settlement>
<li>Barcelone</li>
</settlement>
<orgName>
<li>Université autonome de Barcelone</li>
</orgName>
</list>
<tree>
<country name="Espagne">
<region name="Catalogne">
<name sortKey="Fernandez, David" sort="Fernandez, David" uniqKey="Fernandez D" first="David" last="Fernández">David Fernández</name>
</region>
<name sortKey="Fernandez, David" sort="Fernandez, David" uniqKey="Fernandez D" first="David" last="Fernández">David Fernández</name>
<name sortKey="Fornes, Alicia" sort="Fornes, Alicia" uniqKey="Fornes A" first="Alicia" last="Fornés">Alicia Fornés</name>
<name sortKey="Fornes, Alicia" sort="Fornes, Alicia" uniqKey="Fornes A" first="Alicia" last="Fornés">Alicia Fornés</name>
<name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name>
<name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000471 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000471 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     ISTEX:14D20D04243AE48B79B73C97EF66A29920E84982
   |texte=   Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure
}}

Wicri

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