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dc.contributor.authorang, S.en_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.date.accessioned2017-05-03T16:57:18Z
dc.date.available2017-05-03T16:57:18Z
dc.date.issued2007en_US
dc.date.modified2009-07-14T06:43:41Z
dc.identifier.doi10.1109/SITIS.2007.37en_AU
dc.identifier.urihttp://hdl.handle.net/10072/24594
dc.description.abstractCompared with some "static" biometrics such as human face and fingerprint, person authentication based on lip movement has the advantage of incorporating "dynamic" features which contain rich information indicating the speaker identity. This paper proposes a new lip feature representation and analyzes its discrimination power for person authentication. Since the original lip features are usually of high-dimension, the independent component analysis (ICA) is adopted for dimension- reduction and discriminative feature extraction. Hidden Markov model (HMM) is then employed as the classifier for its superiority in dealing with time-series data. Experiments are carried out on a database containing 40 speakers in our lab. By analyzing the experimental results, detailed evaluation for various lip feature representation is made and 98.07% accuracy rate in speaker recognition and 2.31% EER in speaker authentication is achieved using our lip feature representation.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent396275 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placePiscataway, USAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4618740en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThird International IEEE Conference on Signal-Image Technologies and Internet-Based Systemen_US
dc.relation.ispartofconferencetitleProceedings of Third International IEEE Conference on Signal-Image Technologies and Internet-Based Systemen_US
dc.relation.ispartofdatefrom2007-12-16en_US
dc.relation.ispartofdateto2007-12-19en_US
dc.relation.ispartoflocationShanghai, Chinaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchCommunication Technology and Digital Media Studiesen_US
dc.subject.fieldofresearchcode200102en_US
dc.titleICA-Based Lip Feature Representation for Speaker Authenticationen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_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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