A biometric identification system based on heart sound signal

Biometric recognition refers to the automatic recognition of individuals based on their physiological or behavioral characteristics. This paper presents a new biometric identification technique based on heart sounds. It is a signal of benefits recognition by analyzing the basic characteristics of heart sound. For first heart sound signal s1, secondly heart sound signal s2, their characteristic parameters are extracted by the independent sub-function and wavelet transform. And the heart sound cycle-power-frequency drawing (CPFD) is used to achieve identity recognition of single channel heart sound signal. The data of multi-feature extraction was processed based on the data layer fusion and improved D-S information fusion method. The results of practical experiments show the effectiveness of the heart sound identification technology which has a promising future.