Securing Iris biometric system against replay and database attack using conventional and deep learning approaches

dc.contributor.guide	Sehgal, Priti
dc.coverage.spatial
dc.creator.researcher	Gupta, Richa
dc.date.accessioned	2023-01-12T08:30:19Z
dc.date.available	2023-01-12T08:30:19Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered
dc.description.abstract	Available
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	157 p.
dc.identifier.uri	http://hdl.handle.net/10603/443616
dc.language	English
dc.publisher.institution	Dept. of Computer Science
dc.publisher.place	New Delhi
dc.publisher.university	University of Delhi
dc.relation	Bibliography 136-155 p.
dc.rights	university
dc.source.university	University
dc.subject.keyword	Biometricians
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Software Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Statisticians
dc.title	Securing Iris biometric system against replay and database attack using conventional and deep learning approaches
dc.title.alternative
dc.type.degree	Ph.D.