Title :
Identity recognition based on power spectral analysis of pulse wave signal
Author :
Fangfang Jiang ; Sijia Sun
Author_Institution :
Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
Abstract :
The identification method based on biometric identification technology application of previous research mainly on external characteristics such as fingerprint, face, but in recent years the appearing of fake fingerprints technology makes people information security be badly affected. This paper proposed an identity recognition method based on the power spectral analysis of pulse wave signal from finger. Because the pulse wave signals of each subject are unique and difficult to copy and imitate, the security of this method will be higher than that of the traditional methods. The final experiment results demonstrate the feasibility and accuracy of the proposed method.
Keywords :
medical signal processing; signal classification; spectral analysis; biometric identification technology; external characteristics; fake fingerprints technology; identification method; identity recognition method; power spectral analysis; pulse wave signal; Adaptive filters; Correlation; Entropy; Heart; Noise; Signal processing algorithms; Spectral analysis; Correlation; Identity Recognition; Power Spectral Analysis; Pulse Wave Signal;
Conference_Titel :
Medical Imaging Physics and Engineering (ICMIPE), 2013 IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4799-6305-8
DOI :
10.1109/ICMIPE.2013.6864566