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Multimodal Personal Verification Using Likelihood Ratio for the Match Score Fusion
In this paper, the authors present a novel personal verification system based on the likelihood ratio test for fusion of match scores from multiple biometric matchers (face, fingerprint, hand shape, and palm print). In the proposed system, multimodal features are extracted by Zernike Moment (ZM). Af...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5684618/ https://ncbi.nlm.nih.gov/pubmed/29225616 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/9345969 |
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