Design and development of a multimodal authentication system for security applications using deep learning model

dc.contributor.guide	Krishna Prakasha, K., Prabhu, Srikanth and Nayak, Vinod C
dc.coverage.spatial	Computer Engineering
dc.creator.researcher	Sumalatha, U
dc.date.accessioned	2026-01-19T11:49:29Z
dc.date.available	2026-01-19T11:49:29Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2022
dc.description.abstract	Available newline
dc.description.note	bibliography p.159-179
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	179p.
dc.identifier.researcherid	0000-0002-5914-7053
dc.identifier.uri	http://hdl.handle.net/10603/688558
dc.language	English
dc.publisher.institution	Manipal Institute of Technology
dc.publisher.place	Manipal
dc.publisher.university	Manipal Academy of Higher Education
dc.relation	No.of References 242
dc.rights	university
dc.source.university	University
dc.subject.keyword	Electrocardiogram (ECG) Liveness Detection, Score-Level Fusion
dc.subject.keyword	Fingerprint Recognition, Finger Knuckle Print (FKP), STRIDE Threat Model
dc.subject.keyword	Fully Homomorphic Encryption (FHE),
dc.subject.keyword	Multimodal Biometric Authentication, Siamese Neural Networks
dc.title	Design and development of a multimodal authentication system for security applications using deep learning model
dc.title.alternative	-
dc.type.degree	Ph.D.