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dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorLiu, Xin Yuen_US
dc.contributor.authorVerma, Brijeshen_US
dc.date.accessioned2017-04-24T10:08:48Z
dc.date.available2017-04-24T10:08:48Z
dc.date.issued2007en_US
dc.date.modified2009-09-24T05:56:15Z
dc.identifier.issn00313203en_US
dc.identifier.doi10.1016/j.patcog.2006.05.017en_AU
dc.identifier.urihttp://hdl.handle.net/10072/17976
dc.description.abstractThis paper describes and analyses the performance of a novel feature extraction technique for the recognition of segmented/cursive characters that may be used in the context of a segmentation-based handwritten word recognition system. The modified direction feature (MDF) extraction technique builds upon the direction feature (DF) technique proposed previously that extracts direction information from the structure of character contours. This principal was extended so that the direction information is integrated with a technique for detecting transitions between background and foreground pixels in the character image. In order to improve on the DF extraction technique, a number of modifications were undertaken. With a view to describe the character contour more effectively, a re-design of the direction number determination technique was performed. Also, an additional global feature was introduced to improve the recognition accuracy for those characters that were most frequently confused with patterns of similar appearance. MDF was tested using a neural network-based classifier and compared to the DF and transition feature (TF) extraction techniques. MDF outperformed both DF and TF techniques using a benchmark dataset and compared favourably with the top results in the literature. A recognition accuracy of above 89% is reported on characters from the CEDAR dataset.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent234578 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherElsevier Ltd.en_US
dc.publisher.placeOxford, UKen_US
dc.publisher.urihttp://www.elsevier.com/wps/find/journaldescription.cws_home/328/description?navopenmenu=1en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom376en_US
dc.relation.ispartofpageto388en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalPattern Recognitionen_US
dc.relation.ispartofvolume40en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.titleAn Investigation of the Modified Direction Feature for Cursive Character Recognitionen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2007 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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