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New physiological or behavioural characteristics have to be considered in order to improve the performance of automatic mono/multi-biometric recognition systems. It has recently been shown in, by means of a preliminary study, that PhonoCardioGram (PCG) signals have specific individual characteristics that can be taken into consideration as a physiological sign used in a biometric system. This paper presents new results in biometric identification/verification via frequency analysis of cardiac sounds. More specifically, the paper proposes a multiband approach to PCG signals that has made it possible to enhance the linear separability and obtain an Equal Error Rate (EER) of 9%.