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- W2155801653 abstract "Cancellable biometrics has recently been introduced in order to overcome some privacy issues about the management of biometric data, aiming to transform a biometric trait into a new but revocable representation for enrolment and identification (verification). Therefore, a new representation of original biometric data can be generated in case of being compromised. Additionally, the use multi-biometric systems are increasingly being deployed in various biometric-based applications since the limitations imposed by a single biometric model can be overcome by these multi-biometric recognition systems. In this paper, we specifically investigate the performance of different fusion approaches in the context of multi-biometrics cancellable recognition. In this investigation, we adjust the ensemble structure to be used for a biometric system and we use as examples two different biometric modalities (voice and iris data) in a multi-biometrics context, adapting three cancellable transformations for each biometric modality." @default.
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- W2155801653 date "2013-05-01" @default.
- W2155801653 modified "2023-10-05" @default.
- W2155801653 title "Investigating fusion approaches in multi-biometric cancellable recognition" @default.
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- W2155801653 doi "https://doi.org/10.1016/j.eswa.2012.10.002" @default.
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