A soft computing approach for optimal feature selection in multimodal biometrics with support vector machine parameter optimization

dc.contributor.guide	V, Saravanan S
dc.coverage.spatial	Science and Humanities
dc.creator.researcher	V, Usharani
dc.date.accessioned	2018-03-14T11:48:07Z
dc.date.available	2018-03-14T11:48:07Z
dc.date.awarded	n.d.
dc.date.completed	2016
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	8cm.
dc.format.extent	xviii, 124p.
dc.identifier.uri	http://hdl.handle.net/10603/195772
dc.language	Others
dc.publisher.institution	Faculty of Science and Humanities
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	112-123
dc.rights	university
dc.source.university	University
dc.subject.keyword	Artificial
dc.subject.keyword	Biometrics
dc.subject.keyword	Fusion
dc.subject.keyword	Multimodal
dc.subject.keyword	Wavelet
dc.title	A soft computing approach for optimal feature selection in multimodal biometrics with support vector machine parameter optimization
dc.title.alternative
dc.type.degree	Ph.D.