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dc.contributor.authorChen, Weipingen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorMurk Redding (General Chair)en_US
dc.date.accessioned2017-05-03T14:13:00Z
dc.date.available2017-05-03T14:13:00Z
dc.date.issued2007en_US
dc.date.modified2008-07-14T03:19:37Z
dc.identifier.refurihttp://dicta2007.infoeng.flinders.edu.au/en_AU
dc.identifier.doi10.1109/DICTA.2007.4426801en_AU
dc.identifier.urihttp://hdl.handle.net/10072/19117
dc.description.abstractMinutiae-based method is the most popular approach in fingerprint matching. However, most existing methods need to search for the best correspondence of minutiae pairs or use reference points (core and delta points) to estimate the alignment parameters. The problem of lost minutiae or spurious minutiae always occurs during the minutiae detection process. Hence, the corresponding pairs or reference points may not be found under this condition. This paper proposes a new minutiae-based fingerprint matching algorithm using phase correlation. We define a new representation called Minutiae Direction Map (MDM). First, we convert minutiae sets into 2D image spaces. Then the transformation parameters are calculated using phase correlation between two MDMs to align two fingerprints to be matched. The similarity of two fingerprints is determined by the distance between two minutiae sets. Our approach does not need to search for the corresponding minutiae pairs. Experimental results show that the proposed approach performed well in matching fingerprint minutiae sets, which greatly improved the economy of storage space.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent339284 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://www.ieee.org/portal/siteen_AU
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameThe 9th International Conference on Digital Image Computing: Techniques and Applications DICTA 2007en_US
dc.relation.ispartofconferencetitleDigital Image Computing: Techniques and Applicationsen_US
dc.relation.ispartofdatefrom2007-12-03en_US
dc.relation.ispartofdateto2007-12-05en_US
dc.relation.ispartoflocationAdelaideen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.subject.fieldofresearchcode280208en_US
dc.titleA Minutiae-based Fingerprint Matching Algorithm Using Phase Correlationen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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