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dc.contributor.authorShobeirinejad, Amenehen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorIAPRen_US
dc.date.accessioned2017-04-24T10:17:43Z
dc.date.available2017-04-24T10:17:43Z
dc.date.issued2010en_US
dc.date.modified2011-04-18T06:56:05Z
dc.identifier.refurihttp://www.icpr2010.org/en_AU
dc.identifier.doi10.1109/ICPR.2010.1118en_AU
dc.identifier.urihttp://hdl.handle.net/10072/37204
dc.description.abstractAutomated gender recognition has become an interesting and challenging research problem in recent years with its potential applications in security industry and human-computer interaction systems. In this paper we present a novel feature representation, namely Interlaced Derivative Patterns (IDP), which is a derivative-based technique to extract discriminative facial features for gender classification. The proposed technique operates on a neighborhood around a pixel and concatenates the extracted regional feature distributions to form a feature vector. The experimental results demonstrate the effectiveness of the IDP method for gender classification, showing that the proposed approach achieves 29.6% relative error reduction compared to Local Binary Patterns (LBP), while it performs over four times faster than Local Derivative Patterns (LDP).en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent1192628 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThe 20th International Conference on Pattern Recognition (ICPR 2010)en_US
dc.relation.ispartofconferencetitleProceedings of the 20th International Conference on Pattern Recognition (ICPR 2010)en_US
dc.relation.ispartofdatefrom2010-08-23en_US
dc.relation.ispartofdateto2010-08-26en_US
dc.relation.ispartoflocationIstanbul, Turkeyen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchcode080104en_US
dc.subject.fieldofresearchcode080109en_US
dc.titleGender Classification using Interlaced Derivative Patternsen_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 2010 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.issued2010
gro.hasfulltextFull Text


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

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