Enriched user authentication with optimized palmprint hand geometry and finger knuckle features using multispectral hand image acquisition system

dc.contributor.guide	Arumugam, S.
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	Kirthika, A.
dc.date.accessioned	2017-03-24T07:20:11Z
dc.date.available	2017-03-24T07:20:11Z
dc.date.awarded	n.d.
dc.date.completed	january, 2016
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xix, 141p.
dc.identifier.uri	http://hdl.handle.net/10603/141417
dc.language	English
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	129-140
dc.rights	university
dc.source.university	University
dc.subject.keyword	Acquisition
dc.subject.keyword	Geometry
dc.subject.keyword	Knuckle
dc.subject.keyword	Multispectral
dc.subject.keyword	Palmprint
dc.title	Enriched user authentication with optimized palmprint hand geometry and finger knuckle features using multispectral hand image acquisition system
dc.title.alternative
dc.type.degree	Ph.D.