Analytic Word Recognition without Segmentation
Identifieur interne : 007916 ( Main/Merge ); précédent : 007915; suivant : 007917Analytic Word Recognition without Segmentation
Auteurs : Abdel Belaïd [France] ; Christophe ChoisySource :
English descriptors
Abstract
This paper presents a new concept of handwriting recognition combining two kinds of visions : local operated by a random field and global operated by a random field. The paper discusses the advantage of this complementarity.
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Analytic Word Recognition without Segmentation</title>
<author><name sortKey="Belaid, Abdel" sort="Belaid, Abdel" uniqKey="Belaid A" first="Abdel" last="Belaid">Abdel Belaïd</name>
<affiliation><country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="region" nuts="2">Lorraine (région)</region>
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<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>
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<author><name sortKey="Choisy, Christophe" sort="Choisy, Christophe" uniqKey="Choisy C" first="Christophe" last="Choisy">Christophe Choisy</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>local and global vision</term>
<term>markov models</term>
<term>random field</term>
<term>word recognition</term>
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<front><div type="abstract" xml:lang="en" wicri:score="932">This paper presents a new concept of handwriting recognition combining two kinds of visions : local operated by a random field and global operated by a random field. The paper discusses the advantage of this complementarity.</div>
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