Text area detection in digital documents images using textural features

dc.contributor.authorAr, İlktan
dc.contributor.authorKarsligil, M. Elif
dc.date.accessioned2019-06-28T11:11:34Z
dc.date.available2019-06-28T11:11:34Z
dc.date.issued2007
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this paper we propose a new texture-based method for extraction of text areas in a complex document image. Gabor filter motivated by the multi-channel filtering approach of Human Visual System (HVS) has been employed to create energy map of the document. In this energy map we assumed that text areas were rich in high frequency components. Connected components (probable text characters) were extracted by binarization of the energy map with Otsu's adaptive threshold method. First non-text components such as pictures lines frames etc. were eliminated by Gabor filtering. As a novel approach remaining non-text components were then eliminated by using character component interval tracing. Elimination that formed in two stage enhanced the success of detecting text area on different kinds of digital documents. © Springer-Verlag Berlin Heidelberg 2007.en_US]
dc.identifier.citation1
dc.identifier.doi10.1007/978-3-540-74272-2_69en_US
dc.identifier.endpage562
dc.identifier.isbn9783540742715
dc.identifier.issn0302-9743en_US
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-38149052218en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage555en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1628
dc.identifier.urihttps://doi.org/10.1007/978-3-540-74272-2_69
dc.identifier.volume4673 LNCSen_US
dc.identifier.wosWOS:000249585600069en_US
dc.identifier.wosqualityN/A
dc.institutionauthorAr, İlktanen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.journalComputer Analysis of Images and Patternsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCharacter tracingen_US
dc.subjectDocument imageen_US
dc.subjectGabor filteren_US
dc.subjectText area extractionen_US
dc.titleText area detection in digital documents images using textural featuresen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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