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dc.contributor.authorUgail, Hassan
dc.contributor.authorAldahoud, Ahmad
dc.date.accessioned2022-03-20T06:27:37Z
dc.date.accessioned2022-04-28T08:34:55Z
dc.date.available2022-03-20T06:27:37Z
dc.date.available2022-04-28T08:34:55Z
dc.date.issued2019-04-18
dc.identifier.citationUgail H and Aldahoud A (2019) The biometric characteristics of a smile. In: Computational Techniques for Human Smile Analysis. SpringerBriefs in Computer Science. Springer, Cham. 47-56.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18940
dc.descriptionNoen_US
dc.description.abstractFacial expressions have been studied looking for its diagnostic capabilities in mental health and clues for longevity, gender and other such personality traits. The use of facial expressions, especially the expression of smile, as a biometric has not been looked into great detail. However, research shows that a person can be identified from their behavioural traits including their emotional expressions. In this Chapter, we discuss a novel computational biometric model which can be derived from the smile expression. We discuss how the temporal components of a smile can be utilised to show that similarities in the smile exist for an individual and it can be enabled to create a tool which can be utilised as a biometric.en_US
dc.language.isoenen_US
dc.subjectSmile biometricsen_US
dc.subjectSmile dynamicsen_US
dc.subjectSmile intervalsen_US
dc.subjectClusteringen_US
dc.titleThe biometric characteristics of a smileen_US
dc.status.refereedYesen_US
dc.typeBook chapteren_US
dc.type.versionNo full-text in the repositoryen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-15381-6_5
dc.rights.licenseUnspecifieden_US
dc.date.updated2022-03-20T06:27:38Z
dc.openaccess.statusclosedAccessen_US


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