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Segmentation methods for character recognition : from segmentation to document structure analysis

Identifieur interne : 003567 ( Main/Merge ); précédent : 003566; suivant : 003568

Segmentation methods for character recognition : from segmentation to document structure analysis

Auteurs : H. Fujisawa [Japon] ; Y. Nakano ; K. Kurino

Source :

RBID : Pascal:92-0627702

Descripteurs français

English descriptors

Abstract

This paper discusses character segmentation methods, a key technology for character recognition that determines the usability and applicability of optical character readers. A pattern-oriented segmentation method that leads to document structure analysis is presented. A first example of advanced character segmentation is touching handwritten numeral segmentation. Connected pattern components are extracted instead of a pixel image, and spatial interrelations between components are measured to group them into meaningful character patterns

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Pascal:92-0627702

Le document en format XML

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<term>Reconnaissance caractère</term>
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<div type="abstract" xml:lang="en">This paper discusses character segmentation methods, a key technology for character recognition that determines the usability and applicability of optical character readers. A pattern-oriented segmentation method that leads to document structure analysis is presented. A first example of advanced character segmentation is touching handwritten numeral segmentation. Connected pattern components are extracted instead of a pixel image, and spatial interrelations between components are measured to group them into meaningful character patterns</div>
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{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
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   |type=    RBID
   |clé=     Pascal:92-0627702
   |texte=   Segmentation methods for character recognition : from segmentation to document structure analysis
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