Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/472979
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-03-28T08:15:29Z | - |
dc.date.available | 2023-03-28T08:15:29Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/472979 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Optimal Fusion Strategies using Multimodal Biometric Technique for Human Recognition and Authentication | |
dc.title.alternative | ||
dc.creator.researcher | Komal | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Theory and Methods | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Chander Kant | |
dc.publisher.place | Kurukshetra | |
dc.publisher.university | Kurukshetra University | |
dc.publisher.institution | Department of Computer Sc. and Appl. | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Sc. & Appl. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 100.84 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 291.24 kB | Adobe PDF | View/Open | |
03_content.pdf | 165.3 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 54.24 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 724.78 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 161.55 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 370.29 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 443.25 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 151.91 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 293.29 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 543.53 kB | Adobe PDF | View/Open | |
12_chapter7.pdf | 67.2 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 291.24 kB | Adobe PDF | View/Open |
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