Investigating fusion approaches in multi-biometric cancellable recognition

Authors:
Anne M. P. Canuto;Fernando Pintro;JoãO C. Xavier-Junior
Affiliations:
Department of Informatics and Applied Mathematics (DIMAp) Federal University of RN, Brazil;Department of Informatics and Applied Mathematics (DIMAp) Federal University of RN, Brazil;Department of Informatics and Applied Mathematics (DIMAp) Federal University of RN, Brazil
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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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.