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https://dspace.univ-ouargla.dz/jspui/handle/123456789/18734
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DC Field | Value | Language |
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dc.contributor.author | Mohammed Riad, Bassa | - |
dc.contributor.author | Bouthaina, BELLAKEHAL | - |
dc.contributor.author | Zakaria, TIDJANI | - |
dc.contributor.author | Khaled, BENSID | - |
dc.date.accessioned | 2018-07-11T09:58:18Z | - |
dc.date.available | 2018-07-11T09:58:18Z | - |
dc.date.issued | 2018-07-11 | - |
dc.identifier.uri | http://dspace.univ-ouargla.dz/jspui/handle/123456789/18734 | - |
dc.description | PEOPLE'S DEMOCRATIC REPUBLIC OF ALGERIA MINISTRY HIGHER EDUCATION AND SCIENTIFIC RESEARCH KASDI MERBAH UNIVERSITY OUARGLA Faculty of New Technologies of Information and Communication Department of Electronics and Telecommunication | en_US |
dc.description.abstract | Biometric plays an important role in securing governments and daily basis technology use. Therefore, it becomes one of the most essential methods in security and recognition systems domain. In this thesis, we tried to build a biometric system that produces high accuracy results. Thus, in this work, we are going to discuss the biometric systems and explain their structures using 2D-DWT as fusion method and LPQ and BSIF for feature extraction. Finally, we are going to see the influence of 2D-DWT to the results. | en_US |
dc.language.iso | en | en_US |
dc.subject | Biometric | en_US |
dc.subject | Recognition | en_US |
dc.subject | 2D-DWT | en_US |
dc.subject | LPQ | en_US |
dc.subject | BSIF | en_US |
dc.title | Image Fusion Technique Based on 2D-DWT for Multispectral Palmprint Identification | en_US |
dc.type | Other | en_US |
Appears in Collections: | Département d'Electronique et des Télécommunications - Master |
Files in This Item:
File | Description | Size | Format | |
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BASSA- BELLAKEHAL.pdf | 974,23 kB | Adobe PDF | View/Open |
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