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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Detalles Bibliográficos
Autores principales: Binh Tran, Long, Le, Thai Hoang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684618/
https://www.ncbi.nlm.nih.gov/pubmed/29225616
http://dx.doi.org/10.1155/2017/9345969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684618/
https://www.ncbi.nlm.nih.gov/pubmed/29225616
http://dx.doi.org/10.1155/2017/9345969

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