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- W2166668135 abstract "Identifying people using their biometric data is a problem that is getting increasingly more attention. This paper investigates a method that allows the matching of people in the context of victim identification by using their ear biometric data. A high quality picture (taken professionally) is matched against a set of low quality pictures (family albums). In this paper soft computing methods are used to model different kinds of uncertainty that arise when manually annotating the pictures. More specifically, we study the use of bipolar satisfaction degrees to explicitly handle the bipolar information about the available ear biometrics." @default.
- W2166668135 created "2016-06-24" @default.
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- W2166668135 date "2011-01-01" @default.
- W2166668135 modified "2023-09-26" @default.
- W2166668135 title "Bipolarity in ear biometrics" @default.
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- W2166668135 doi "https://doi.org/10.2991/eusflat.2011.89" @default.
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