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dc.contributor.authorLi, Yilinen_US
dc.contributor.authorZhang, Baochangen_US
dc.contributor.authorCao, Yaoen_US
dc.contributor.authorZhao, Sanqiangen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.authorLiu, Jianzhuangen_US
dc.contributor.editorK. W. Bowyer, R. Chellappaen_US
dc.date.accessioned2017-04-24T12:26:39Z
dc.date.available2017-04-24T12:26:39Z
dc.date.issued2011en_US
dc.date.modified2013-08-22T23:01:06Z
dc.identifier.refurihttp://www.cse.nd.edu/IJCB_11/en_US
dc.identifier.doi10.1109/IJCB.2011.6117485en_US
dc.identifier.urihttp://hdl.handle.net/10072/43574
dc.description.abstractThis paper introduces a new BeiHang (BH) Keystroke Dynamics Database for testing and evaluation of biometric approaches. Different from the existing keystroke dynamics researches which solely rely on laboratory experiments, the developed database is collected from a real commercialized system and thus is more comprehensive and more faithful to human behavior. Moreover, our database comes with ready-to-use benchmark results of three keystroke dynamics methods, Nearest Neighbor classifier, Gaussian Model and One-Class Support Vector Machine. Both the database and benchmark results are open to the public and provide a significant experimental platform for international researchers in the keystroke dynamics area.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent243459 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencename2011 International Joint Conference on Biometrics (IJCB 2011)en_US
dc.relation.ispartofconferencetitleProceedings of the 2011 International Joint Conference on Biometrics (IJCB 2011)en_US
dc.relation.ispartofdatefrom2011-10-10en_US
dc.relation.ispartofdateto2011-10-13en_US
dc.relation.ispartoflocationWashington, DC, United Statesen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080109en_US
dc.subject.fieldofresearchcode080104en_US
dc.titleStudy on the BeiHang Keystroke Dynamics Databaseen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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