Hybrid Physio Behavioural Biometric Recognition using Handcrafted and DeepNet Features
| dc.contributor.guide | Prof. A.H Mir | |
| dc.coverage.spatial | ||
| dc.creator.researcher | M Haider Mehraj | |
| dc.date.accessioned | 2023-01-05T08:41:48Z | |
| dc.date.available | 2023-01-05T08:41:48Z | |
| dc.date.awarded | 2022 | |
| dc.date.completed | 2022 | |
| dc.date.registered | 2015 | |
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/436990 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Engineering | |
| dc.publisher.place | Srinagar | |
| dc.publisher.university | National Institute of Technology Srinagar | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering Electrical and Electronic | |
| dc.title | Hybrid Physio Behavioural Biometric Recognition using Handcrafted and DeepNet Features | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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