Touch TT: Scene Text Extractor Using Touchscreen Interface

Cited 25 time in webofscience Cited 0 time in scopus
  • Hit : 842
  • Download : 705
DC FieldValueLanguage
dc.contributor.authorJung, Je-Hyunko
dc.contributor.authorLee, Seong-Hunko
dc.contributor.authorCho, Min-Suko
dc.contributor.authorKim, Jin-Hyungko
dc.date.accessioned2013-03-09T15:05:08Z-
dc.date.available2013-03-09T15:05:08Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2011-02-
dc.identifier.citationETRI JOURNAL, v.33, no.1, pp.78 - 88-
dc.identifier.issn1225-6463-
dc.identifier.urihttp://hdl.handle.net/10203/96676-
dc.description.abstractIn this paper, we present the Touch Text exTractor (Touch TT), an interactive text segmentation tool for the extraction of scene text from camera-based images. Touch TT provides a natural interface for a user to simply indicate the location of text regions with a simple touchline. Touch TT then automatically estimates the text color and roughly locates the text regions. By inferring text characteristics from the estimated text color and text region, Touch TT can extract text components. Touch TT can also handle partially drawn lines which cover only a small section of text area. The proposed system achieves reasonable accuracy for text extraction from moderately difficult examples from the ICDAR 2003 database and our own database.-
dc.languageEnglish-
dc.publisherELECTRONICS TELECOMMUNICATIONS RESEARCH INST-
dc.subjectIMAGES-
dc.titleTouch TT: Scene Text Extractor Using Touchscreen Interface-
dc.typeArticle-
dc.identifier.wosid000287278200011-
dc.identifier.scopusid2-s2.0-79951686111-
dc.type.rimsART-
dc.citation.volume33-
dc.citation.issue1-
dc.citation.beginningpage78-
dc.citation.endingpage88-
dc.citation.publicationnameETRI JOURNAL-
dc.identifier.doi10.4218/etrij.11.1510.0029-
dc.contributor.localauthorKim, Jin-Hyung-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorScene text recognition-
dc.subject.keywordAuthortouchscreen interface-
dc.subject.keywordPlusIMAGES-
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 25 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0