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dc.contributor.authorKanan, Hamidreza Rashidyen_US
dc.contributor.authorFaez, Karimen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorDr. Robert S Ledley (Editor-in-Chief), C Y Suen (Editor-in-Chief)en_US
dc.date.accessioned2017-05-03T14:13:03Z
dc.date.available2017-05-03T14:13:03Z
dc.date.issued2008en_US
dc.date.modified2011-06-30T08:43:12Z
dc.identifier.issn00313203en_US
dc.identifier.doi10.1016/j.patcog.2008.05.024en_AU
dc.identifier.urihttp://hdl.handle.net/10072/23685
dc.description.abstractThough numerous approaches have been proposed for face recognition, little attention is given to the moment-based face recognition techniques. In this paper we propose a novel face recognition approach based on adaptively weighted patch pseudo Zernike moment array (AWPPZMA) when only one exemplar image per person is available. In this approach, a face image is represented as an array of patch pseudo Zernike moments (PPZM) extracted from a partitioned face image containing moment information of local areas instead of global information of a face. An adaptively weighting scheme is used to assign proper weights to each PPZM to adjust the contribution of each local area of a face in terms of the quantity of identity information that a patch contains and the likelihood of a patch is occluded. An extensive experimental investigation is conducted using AR and Yale face databases covering face recognition under controlled/ideal conditions, different illumination conditions, different facial expressions and partial occlusion. The system performance is compared with the performance of four benchmark approaches. The encouraging experimental results demonstrate that moments can be used for face recognition and patch-based moment array provides a novel way for face representation and recognition in single model databases. Keywords: Face recognition; Adaptively weighted patch pseudo Zernike moment; Zernike moment; Patch matching; Local matching; Partial occlusion; Single model databaseen_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherPergamon/Elsevieren_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofpagefrom3799en_US
dc.relation.ispartofpageto3812en_US
dc.relation.ispartofissue12en_US
dc.relation.ispartofjournalPattern Recognitionen_US
dc.relation.ispartofvolume41en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.subject.fieldofresearchcode280208en_US
dc.titleFace recognition using adaptively weighted patch PZM array from a single exemplar image per personen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2008
gro.hasfulltextNo Full Text


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