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Performance analysis of and OCR system via an artificial handwritten Chinese character generator

Identifieur interne : 003046 ( Main/Merge ); précédent : 003045; suivant : 003047

Performance analysis of and OCR system via an artificial handwritten Chinese character generator

Auteurs : CHENG-HUANG TUNG [Taïwan] ; YUAN-JONG CHEN ; HSI-JIAN LEE

Source :

RBID : Pascal:94-0499841

Descripteurs français

English descriptors

Abstract

A handwritten Chinese character generator that generates handwritten Chinese characters with different variations is proposed and used to evaluate the performance of an OCR system. The character generator first generates radicals of a character stroke by stroke and then combines the generated radicals to form a line-vector character. Next, the line-vector character is thickened to obtain a character image. Characters generated by this method will have great variance in shape but will still satisfy the structural constraints. The generated characters are then used to perform two types of evaluations. First, the stability of stroke extractors in terms of stroke number is evaluated. Two stroke extractors, one based on thinning and the other on vectorization, are analyzed

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Pascal:94-0499841

Le document en format XML

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<title xml:lang="en" level="a">Performance analysis of and OCR system via an artificial handwritten Chinese character generator</title>
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<name sortKey="Cheng Huang Tung" sort="Cheng Huang Tung" uniqKey="Cheng Huang Tung" last="Cheng-Huang Tung">CHENG-HUANG TUNG</name>
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<name sortKey="Yuan Jong Chen" sort="Yuan Jong Chen" uniqKey="Yuan Jong Chen" last="Yuan-Jong Chen">YUAN-JONG CHEN</name>
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<name sortKey="Hsi Jian Lee" sort="Hsi Jian Lee" uniqKey="Hsi Jian Lee" last="Hsi-Jian Lee">HSI-JIAN LEE</name>
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<term>Traitement image</term>
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<term>Ecriture</term>
<term>Caractère</term>
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<div type="abstract" xml:lang="en">A handwritten Chinese character generator that generates handwritten Chinese characters with different variations is proposed and used to evaluate the performance of an OCR system. The character generator first generates radicals of a character stroke by stroke and then combines the generated radicals to form a line-vector character. Next, the line-vector character is thickened to obtain a character image. Characters generated by this method will have great variance in shape but will still satisfy the structural constraints. The generated characters are then used to perform two types of evaluations. First, the stability of stroke extractors in terms of stroke number is evaluated. Two stroke extractors, one based on thinning and the other on vectorization, are analyzed</div>
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   |wiki=    Ticri/CIDE
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   |texte=   Performance analysis of and OCR system via an artificial handwritten Chinese character generator
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