Document Image Database Indexing with Pictorial Dictionary
Identifieur interne : 000787 ( Main/Exploration ); précédent : 000786; suivant : 000788Document Image Database Indexing with Pictorial Dictionary
Auteurs : Mohammad Akbari [Iran] ; Reza Azmi [Iran]Source :
- Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Dictionnaire, Recherche documentaire.
English descriptors
- KwdEn :
Abstract
In this paper we introduce a new approach for information retrieval from Persian document image database without using Optical Character Recognition (OCR).At first an attribute called subword upper contour label is defined then, a pictorial dictionary is constructed based on this attribute for the subwords. By this approach we address two issues in document image retrieval: keyword spotting and retrieval according to the document similarities. The proposed methods have been evaluated on a Persian document image database. The results have proved the ability of this approach in document image information retrieval.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000172
- to stream PascalFrancis, to step Curation: 000605
- to stream PascalFrancis, to step Checkpoint: 000161
- to stream Main, to step Merge: 000792
- to stream Main, to step Curation: 000787
Le document en format XML
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<author><name sortKey="Akbari, Mohammad" sort="Akbari, Mohammad" uniqKey="Akbari M" first="Mohammad" last="Akbari">Mohammad Akbari</name>
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<author><name sortKey="Azmi, Reza" sort="Azmi, Reza" uniqKey="Azmi R" first="Reza" last="Azmi">Reza Azmi</name>
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<series><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Dictionaries</term>
<term>Digital image</term>
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<term>Document retrieval</term>
<term>Image databank</term>
<term>Image processing</term>
<term>Indexing</term>
<term>Information retrieval</term>
<term>Optical character recognition</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Recherche information</term>
<term>Traitement image</term>
<term>Image numérique</term>
<term>Traitement image document</term>
<term>Banque image</term>
<term>Indexation</term>
<term>Dictionnaire</term>
<term>Reconnaissance optique caractère</term>
<term>Recherche documentaire</term>
<term>0130C</term>
<term>0705P</term>
<term>4230V</term>
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<front><div type="abstract" xml:lang="en">In this paper we introduce a new approach for information retrieval from Persian document image database without using Optical Character Recognition (OCR).At first an attribute called subword upper contour label is defined then, a pictorial dictionary is constructed based on this attribute for the subwords. By this approach we address two issues in document image retrieval: keyword spotting and retrieval according to the document similarities. The proposed methods have been evaluated on a Persian document image database. The results have proved the ability of this approach in document image information retrieval.</div>
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