Automatic reading of the white pages in a telephone directory
Identifieur interne : 002748 ( Main/Merge ); précédent : 002747; suivant : 002749Automatic reading of the white pages in a telephone directory
Auteurs : J. Hu [Australie] ; H. Yan [Australie]Source :
- Optical engineering [ 0091-3286 ] ; 1996-11.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
An optical character recognition (OCR) system for the reading of the white pages of Sydney′s telephone directories is described. The system is used to process each scanned page automatically. First, column segmentation, special symbol segmentation, text line segmentation, and character segmentation are performed. Second, a new structural method is developed to recognize each segmented character based on its skeleton decomposition and coding. Third, a postprocessing module is used to verify the confusing letters based on the text layout information and the contextual information. Experiments with test pages show an average recognition rate of 99.5% with a reliability rate of 99.85%. © 1996 Society of Photo-Optical Instrumentation Engineers.
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Pascal:97-0111568Le document en format XML
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Hu</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>University of Sydney Department of Electrical Engineering New South Wales 2006, Australia</s1><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country xml:lang="fr">Australie</country><wicri:regionArea>University of Sydney Department of Electrical Engineering New South Wales 2006</wicri:regionArea><wicri:noRegion>University of Sydney Department of Electrical Engineering New South Wales 2006, Australia</wicri:noRegion></affiliation></author><author><name sortKey="Yan, H" sort="Yan, H" uniqKey="Yan H" first="H." last="Yan">H. Yan</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>University of Sydney Department of Electrical Engineering New South Wales 2006, Australia</s1><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country xml:lang="fr">Australie</country><wicri:regionArea>University of Sydney Department of Electrical Engineering New South Wales 2006</wicri:regionArea><wicri:noRegion>University of Sydney Department of Electrical Engineering New South Wales 2006, Australia</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Optical engineering</title><title level="j" type="abbreviated">Opt. eng.</title><idno type="ISSN">0091-3286</idno><imprint><date when="1996-11">1996-11</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Optical engineering</title><title level="j" type="abbreviated">Opt. eng.</title><idno type="ISSN">0091-3286</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Measuring methods</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>4230S</term><term>Méthode mesure</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An optical character recognition (OCR) system for the reading of the white pages of Sydney′s telephone directories is described. The system is used to process each scanned page automatically. First, column segmentation, special symbol segmentation, text line segmentation, and character segmentation are performed. Second, a new structural method is developed to recognize each segmented character based on its skeleton decomposition and coding. Third, a postprocessing module is used to verify the confusing letters based on the text layout information and the contextual information. Experiments with test pages show an average recognition rate of 99.5% with a reliability rate of 99.85%. © 1996 Society of Photo-Optical Instrumentation Engineers.</div></front></TEI><affiliations><list><country><li>Australie</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Hu, J" sort="Hu, J" uniqKey="Hu J" first="J." last="Hu">J. Hu</name></noRegion><name sortKey="Yan, H" sort="Yan, H" uniqKey="Yan H" first="H." last="Yan">H. 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