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dc.contributor.authorChen, JY
dc.contributor.authorLeung, MK
dc.contributor.authorGao, YS
dc.date.accessioned2017-05-03T14:12:55Z
dc.date.available2017-05-03T14:12:55Z
dc.date.issued2003
dc.date.modified2009-03-02T06:51:01Z
dc.identifier.issn0031-3203
dc.identifier.doi10.1016/S0031-3203(02)00128-0
dc.identifier.urihttp://hdl.handle.net/10072/21563
dc.description.abstractLogo recognition is of great interest in the document and shape analysis domain. In order to develop a recognition method that is robust to employ under adverse conditions such as different scale/orientation, broken curves, added noise and occlusion, a modified line segment Hausdorff distance is proposed in this paper. The new approach has the advantage to incorporate structural and spatial information to compute dissimilarity between two sets of line segments rather than two sets of points. The proposed technique has been applied on line segments generated from logos with encouraging results. Clear cut distinction between the correct and incorrect matches has been observed. This suggests a strong potential for logo and shape recognition system.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoen_AU
dc.publisherPergamon Press
dc.publisher.placeOxford, UK
dc.publisher.urihttp://www.sciencedirect.com/science/journal/00313203
dc.relation.ispartofpagefrom943
dc.relation.ispartofpageto955
dc.relation.ispartofissue4
dc.relation.ispartofjournalPattern Recognition
dc.relation.ispartofvolume36
dc.subject.fieldofresearchOther Information and Computing Sciences
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchcode0899
dc.subject.fieldofresearchcode0906
dc.subject.fieldofresearchcode0801
dc.titleNoisy logo recognition using line segment Hausdorff distance
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2003
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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