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Conference Paper: A goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanner

TitleA goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanner
Authors
Bai, ZHuo, Q
KeywordsComputers
Artificial intelligence
Issue Date2004
PublisherIEEE, Computer Society.
Citation
The 17th International Conference on Pattern Recognition, Cambridge, UK, 23-26 August 2004, v. 2, p. 574-577 How to Cite?
DOI: http://dx.doi.org/10.1109/ICPR.2004.1334312
AbstractWe present a goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanner. Given a binary image, a series of processing steps are invoked adaptively, guided by the text line verification result in the preceding step. Each step adopts a strategy that is most effective for dealing with the problem concerned. Consequently, the target text line can be extracted in a more efficient and reliable way depending on the nature of the captured image. The effectiveness of the above approach is confirmed by a benchmark test.
Persistent Identifierhttp://hdl.handle.net/10722/45525
ISSN
1051-4651
2020 SCImago Journal Rankings: 0.276

 

DC FieldValueLanguage
dc.contributor.authorBai, Zen_HK
dc.contributor.authorHuo, Qen_HK
dc.date.accessioned2007-10-30T06:28:26Z-
dc.date.available2007-10-30T06:28:26Z-
dc.date.issued2004en_HK
dc.identifier.citationThe 17th International Conference on Pattern Recognition, Cambridge, UK, 23-26 August 2004, v. 2, p. 574-577en_HK
dc.identifier.issn1051-4651en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45525-
dc.description.abstractWe present a goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanner. Given a binary image, a series of processing steps are invoked adaptively, guided by the text line verification result in the preceding step. Each step adopts a strategy that is most effective for dealing with the problem concerned. Consequently, the target text line can be extracted in a more efficient and reliable way depending on the nature of the captured image. The effectiveness of the above approach is confirmed by a benchmark test.en_HK
dc.format.extent301099 bytes-
dc.format.extent7254 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.rights©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectComputersen_HK
dc.subjectArtificial intelligenceen_HK
dc.titleA goal-oriented verification-based approach for target text line extraction from a document image captured by a pen scanneren_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1051-4651&volume=2&spage=574&epage=577&date=2004&atitle=A+goal-oriented+verification-based+approach+for+target+text+line+extraction+from+a+document+image+captured+by+a+pen+scanneren_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICPR.2004.1334312en_HK
dc.identifier.hkuros101971-
dc.identifier.issnl1051-4651-

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