Evaluation of parallel thinning algorithms for character recognition
Identifieur interne : 002D67 ( Main/Merge ); précédent : 002D66; suivant : 002D68Evaluation of parallel thinning algorithms for character recognition
Auteurs : L. Lam [Canada] ; C. Y. SuenSource :
- IEEE Transactions on Pattern Analysis and Machine Intelligence [ 0162-8828 ] ; 1995.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 recent parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system.
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Pascal:95-0527483Le document en format XML
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<author><name sortKey="Lam, L" sort="Lam, L" uniqKey="Lam L" first="L." last="Lam">L. Lam</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Concordia Univ</s1>
<s2>Montreal Que</s2>
<s3>CAN</s3>
<sZ>1 aut.</sZ>
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<country>Canada</country>
<wicri:noRegion>Concordia Univ</wicri:noRegion>
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<author><name sortKey="Suen, C Y" sort="Suen, C Y" uniqKey="Suen C" first="C. Y." last="Suen">C. Y. Suen</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Evaluation of parallel thinning algorithms for character recognition</title>
<author><name sortKey="Lam, L" sort="Lam, L" uniqKey="Lam L" first="L." last="Lam">L. Lam</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Concordia Univ</s1>
<s2>Montreal Que</s2>
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<author><name sortKey="Suen, C Y" sort="Suen, C Y" uniqKey="Suen C" first="C. Y." last="Suen">C. Y. Suen</name>
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<series><title level="j" type="main">IEEE Transactions on Pattern Analysis and Machine Intelligence</title>
<title level="j" type="abbreviated">IEEE Trans Pattern Anal Mach Intell</title>
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<idno type="ISSN">0162-8828</idno>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Application</term>
<term>Image processing</term>
<term>Optical character recognition</term>
<term>Parallel algorithms</term>
<term>Parallel processing systems</term>
<term>Parallel thinning algorithms</term>
<term>Performance</term>
<term>Skeletonization algorithms</term>
<term>Theory</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Application</term>
<term>Reconnaissance optique caractère</term>
<term>Traitement image</term>
<term>Système traitement parallèle</term>
<term>Performance</term>
<term>Algorithme parallèle</term>
<term>Théorie</term>
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<front><div type="abstract" xml:lang="en">Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 recent parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system.</div>
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