Recently, significant efforts have being dedicated to the design of algorithms and architectures able to protect biometric characteristics, in order to guarantee the necessary security and privacy to their owners. In this paper we discuss a protected on-line signature-based biometric authentication system, where the considered biometrics are secured by means of non-invertible transformations, able to generate templates from which retrieving the original information is computationally as hard as random guessing it. The advantages of using a protection method based on non-invertible transforms are exploited by presenting three different matching strategies in the transformed domain, and by proposing a multi-biometrics approach based on score-level fusion to improve the performances of the considered system. The reported experimental results, evaluated on the public MCYT signature database, show that the achievable recognition rates are only slightly affected by the proposed protection scheme, which is able to provide security and renewability for the considered biometrics.
Maiorana, E., Campisi, P., Neri, A. (2011). Bioconvolving: Cancelable templates for a multi-biometrics signature recognition system. In Systems Conference (SysCon), 2011 IEEE International (pp.495-500) [10.1109/SYSCON.2011.5929064].
Bioconvolving: Cancelable templates for a multi-biometrics signature recognition system
MAIORANA, EMANUELE;CAMPISI, PATRIZIO;NERI, Alessandro
2011-01-01
Abstract
Recently, significant efforts have being dedicated to the design of algorithms and architectures able to protect biometric characteristics, in order to guarantee the necessary security and privacy to their owners. In this paper we discuss a protected on-line signature-based biometric authentication system, where the considered biometrics are secured by means of non-invertible transformations, able to generate templates from which retrieving the original information is computationally as hard as random guessing it. The advantages of using a protection method based on non-invertible transforms are exploited by presenting three different matching strategies in the transformed domain, and by proposing a multi-biometrics approach based on score-level fusion to improve the performances of the considered system. The reported experimental results, evaluated on the public MCYT signature database, show that the achievable recognition rates are only slightly affected by the proposed protection scheme, which is able to provide security and renewability for the considered biometrics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.