Title :
A biometric identification system based on heart sound signal
Author :
Tao Ye-wei ; Sun Xia ; Zhang Hui-xiang ; Wei, Wu
Author_Institution :
Coll. of Math. & Phys., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
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.
Keywords :
biometrics (access control); cardiology; feature extraction; medical signal processing; security of data; sensor fusion; wavelet transforms; D-S information fusion method; automatic recognition; biometric identification system; data layer fusion; heart sound signal; multifeature extraction; wavelet transform; Algorithm design and analysis; Biometrics; Character recognition; Data mining; Frequency; Heart; Humans; Signal analysis; Signal processing; Valves; heart sound; identity recognition; independent sub-function; information fusion; three-step recognition model;
Conference_Titel :
Human System Interactions (HSI), 2010 3rd Conference on
Conference_Location :
Rzeszow
Print_ISBN :
978-1-4244-7560-5
DOI :
10.1109/HSI.2010.5514589
