Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1214
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorWu, X-
dc.creatorWang, K-
dc.creatorJing, L-
dc.creatorZhang, DD-
dc.date.accessioned2014-12-11T08:27:25Z-
dc.date.available2014-12-11T08:27:25Z-
dc.identifier.isbn0-7695-2528-8-
dc.identifier.urihttp://hdl.handle.net/10397/1214-
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.rights© 2006 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_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectData structuresen_US
dc.subjectCross-shape recognitionen_US
dc.subjectPalm linesen_US
dc.subjectPalm Medicine (PM)en_US
dc.titleGraph based cross-shape recognition for palm diagnosisen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: David Zhangen_US
dc.description.otherinformationBiometrics Research Centre, Department of Computingen_US
dcterms.abstractAccording to the Palm Medicine (PM), the palmprint is one of the biometric features which can be used to diagnose diseases. Some special shapes formed by the palm lines in some areas of the palm indicate some special diseases. Cross-shape ("+") is very important in PM. This paper proposes a novel approach to identify the cross-shape for palm diagnosis. In this approach, the palm lines are extracted firstly, and then an undirected graph (called palm line undirected graph, PLUG) is constructed to represent the structure of the palm lines. Finally, by using the theory of fuzzy set, the cross-shapes are recognized in the PLUG. The experimental results demonstrate the effective of the proposed approach.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationISDA 2006 : sixth International Conference Intelligent Systems Design and Applications, Jinan, Shandong, China, 16-18 October 2006, v. 2, p. 325-328-
dcterms.issued2006-
dc.identifier.scopus2-s2.0-34547516412-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
cross-shape-recognition_06.pdf643.71 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

119
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

141
Citations as of Mar 24, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.