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dc.contributor.authorFazeli, Fatemeh
dc.contributor.authorSarrafzadeh, Hossein
dc.contributor.authorShanbehzadeh, Jamshid
dc.date.accessioned2015-04-12T22:23:05Z
dc.date.available2015-04-12T22:23:05Z
dc.date.issued2013
dc.identifier.isbn9789881925183
dc.identifier.issn2078-0958
dc.identifier.issn2078-0966
dc.identifier.urihttps://hdl.handle.net/10652/2728
dc.description.abstractThis paper surveys binarization of document images. The main role of binarization is dimension and noise reduction. Binarization is one of the most important steps in preprocessing of document image understanding and compression. Image binarization means to classify image pixels into two classes, background and foreground. The input of this classification is a feature vector based on intensity values of image pixels. The new features are extracted from the first input vector and, according to the extracted features a cost function as a classifier is constructed. The intensity value that maximizes the cost function is considered as the boundary line of two classes. This paper divides the binarization algorithms into three groups. The first considers one input feature vector including intensity values of each pixel. The second one considers an input feature vector for each pixel based on the intensity value of the pixel and its neighbors. The third group is based on a combination of the first and second group of schemes.en_NZ
dc.language.isoenen_NZ
dc.publisherNewswood Ltd.en_NZ
dc.relation.urihttp://www.iaeng.org/IMECS2013/en_NZ
dc.subjectbinarizationen_NZ
dc.subjectthresholdingen_NZ
dc.subjectfeature extractionen_NZ
dc.subjectcost functionen_NZ
dc.subjectimage preprocessingen_NZ
dc.subjectimage compressionen_NZ
dc.titleAn overview of different binary methods for documents based on their featuresen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderNewswood Ltd.en_NZ
dc.subject.marsden080106 Image Processingen_NZ
dc.identifier.bibliographicCitationFazeli, F., Sarrafzadeh, A., and Shanbehzadeh, J. (2013). An overview of different binary methods for documents based on their features. Proceedings of the International MultiConference of Engineers and Computer Scientists, Hong Kong, 1, 491-495.en_NZ
unitec.institutionKharazmi University, Tehran, Iranen_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.spage491en_NZ
unitec.publication.lpage495en_NZ
unitec.publication.volume1en_NZ
unitec.publication.titleProceedings of the International MultiConference of Engineers and Computer Scientists 2013 (IMECS) 2013en_NZ
unitec.conference.titleProceedings of the International MultiConference of Engineers and Computer Scientistsen_NZ
unitec.conference.orgInternational Association of Engineers (IAENG)en_NZ
unitec.conference.locationHong Kongen_NZ
unitec.conference.sdate2013-03-13
unitec.conference.edate2013-03-15
unitec.peerreviewedyesen_NZ
unitec.identifier.roms54962en_NZ


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