A Model-Based Segmentation Method for Handwritten Numeral Strings
Identifieur interne : 002393 ( Main/Merge ); précédent : 002392; suivant : 002394A Model-Based Segmentation Method for Handwritten Numeral Strings
Auteurs : Jianming Hu [Australie] ; Hong Yan [Australie]Source :
- Computer Vision and Image Understanding [ 1077-3142 ] ; 1997.
English descriptors
- KwdEn :
Abstract
Segmentation of handwritten touching characters is an important task in optical character recognition (OCR). A new model-based segmentation algorithm is proposed for handwritten numeral strings. This method is based on the boundary analysis of the numeral strings, where a set of new features are extracted. These features can be used for global interpretation of the boundary structures. Various models are then constructed for the common touching patterns, which can increase the reliability of the segmentation and reduce the segmentation time. While we concentrate on the description of the segmentation method for two single-touching digits in this paper, our method can be extended to segmentation of touching digits in other situations.
Url:
DOI: 10.1006/cviu.1998.0689
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000964
- to stream Istex, to step Curation: 000953
- to stream Istex, to step Checkpoint: 001780
Links to Exploration step
ISTEX:EFB06AEC5FEB8CCE73EBBDD602920E2AB8933260Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Model-Based Segmentation Method for Handwritten Numeral Strings</title><author><name sortKey="Hu, Jianming" sort="Hu, Jianming" uniqKey="Hu J" first="Jianming" last="Hu">Jianming Hu</name></author><author><name sortKey="Yan, Hong" sort="Yan, Hong" uniqKey="Yan H" first="Hong" last="Yan">Hong Yan</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:EFB06AEC5FEB8CCE73EBBDD602920E2AB8933260</idno><date when="1998" year="1998">1998</date><idno type="doi">10.1006/cviu.1998.0689</idno><idno type="url">https://api.istex.fr/document/EFB06AEC5FEB8CCE73EBBDD602920E2AB8933260/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000964</idno><idno type="wicri:Area/Istex/Curation">000953</idno><idno type="wicri:Area/Istex/Checkpoint">001780</idno><idno type="wicri:doubleKey">1077-3142:1998:Hu J:a:model:based</idno><idno type="wicri:Area/Main/Merge">002393</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Model-Based Segmentation Method for Handwritten Numeral Strings</title><author><name sortKey="Hu, Jianming" sort="Hu, Jianming" uniqKey="Hu J" first="Jianming" last="Hu">Jianming Hu</name><affiliation wicri:level="1"><country xml:lang="fr">Australie</country><wicri:regionArea>Department of Electrical Engineering, University of Sydney, New South Wales, 2006</wicri:regionArea><wicri:noRegion>2006</wicri:noRegion></affiliation></author><author><name sortKey="Yan, Hong" sort="Yan, Hong" uniqKey="Yan H" first="Hong" last="Yan">Hong Yan</name><affiliation wicri:level="1"><country xml:lang="fr">Australie</country><wicri:regionArea>Department of Electrical Engineering, University of Sydney, New South Wales, 2006</wicri:regionArea><wicri:noRegion>2006</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Computer Vision and Image Understanding</title><title level="j" type="abbrev">YCVIU</title><idno type="ISSN">1077-3142</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1997">1997</date><biblScope unit="volume">70</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="383">383</biblScope><biblScope unit="page" to="403">403</biblScope></imprint><idno type="ISSN">1077-3142</idno></series><idno type="istex">EFB06AEC5FEB8CCE73EBBDD602920E2AB8933260</idno><idno type="DOI">10.1006/cviu.1998.0689</idno><idno type="PII">S1077-3142(98)90689-0</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1077-3142</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>character segmentation</term><term>contour analysis</term><term>handwritten character recognition</term><term>structural method</term><term>touching numeral strings</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Segmentation of handwritten touching characters is an important task in optical character recognition (OCR). A new model-based segmentation algorithm is proposed for handwritten numeral strings. This method is based on the boundary analysis of the numeral strings, where a set of new features are extracted. These features can be used for global interpretation of the boundary structures. Various models are then constructed for the common touching patterns, which can increase the reliability of the segmentation and reduce the segmentation time. While we concentrate on the description of the segmentation method for two single-touching digits in this paper, our method can be extended to segmentation of touching digits in other situations.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002393 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 002393 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Merge
|type= RBID
|clé= ISTEX:EFB06AEC5FEB8CCE73EBBDD602920E2AB8933260
|texte= A Model-Based Segmentation Method for Handwritten Numeral Strings
}}
| This area was generated with Dilib version V0.6.32. |  |