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dc.contributor.authorFarahmand, Atena
dc.contributor.authorSarrafzadeh, Hossein
dc.contributor.authorShanbehzadeh, J.
dc.contributor.editorIMECS
dc.date.accessioned2017-07-25T23:28:14Z
dc.date.available2017-07-25T23:28:14Z
dc.date.issued2017-03
dc.identifier.isbn9789881404732
dc.identifier.issn2078-0958
dc.identifier.issn2078-0966
dc.identifier.urihttps://hdl.handle.net/10652/3879
dc.description.abstractOld documents are in printed form. Their archiving and retrieval is expensive according in terms of space requirement and physical search. One solution is to convert these documents into electronic form using scanners. The outputs of scanners are images contaminated with noise. The outcomes are more storage requirement and low OCR accuracy. A solution is noise reduction. This paper employs KFCM algorithm to cluster pixels into text, background and noise according to their features. As a result, noise removal and binarization is done simultaneously.en_NZ
dc.language.isoenen_NZ
dc.publisherNewswood and International Association of Engineersen_NZ
dc.relation.urihttp://www.iaeng.org/publication/IMECS2017/en_NZ
dc.subjectpreprocessingen_NZ
dc.subjectdocument noiseen_NZ
dc.subjectbinarizationen_NZ
dc.subjectnoise removal algorithmsen_NZ
dc.subjectclusteringen_NZ
dc.titleNoise removal and binarization of scanned document images using clustering of featuresen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.date.updated2017-06-01T14:30:13Z
dc.rights.holderAuthorsen_NZ
dc.subject.marsden080109 Pattern Recognition and Data Miningen_NZ
dc.identifier.bibliographicCitationFarahmand, A., Sarrafzadeh, A., & Shanbehzadeh, J. (2017, March). Noise Removal and Binarization of Scanned Document Images Using Clustering of Features. IMECS (Ed.), International MultiConference of Engineers and Computer Scientists (IMECS2017) (pp.410-414).en_NZ
unitec.publication.spage410en_NZ
unitec.publication.lpage414en_NZ
unitec.publication.titleProceedings of the International MultiConference of Engineers and Computer Scientists 2017 (IMECS2017)en_NZ
unitec.conference.titleInternational MultiConference of Engineers and Computer Scientists 2017 (IMECS2017)en_NZ
unitec.conference.orgInternational MultiConference of Engineers and Computer Scientistsen_NZ
unitec.conference.locationHong Kong, Chinaen_NZ
unitec.conference.sdate2017-03-15
unitec.conference.edate2017-03-17
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationUniversity of Kharazmi (Tehran, Iran)en_NZ
unitec.identifier.roms59953en_NZ
unitec.institution.studyareaComputing


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