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DPOAE Biological Feature Modeling and Identity Authentication
Haijun Lin,Bin Zhang,Xuhui Zhang,Binqiu Duan 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.10
In this article, a multi-tone signal generated by micro-speaker is adopted as the acoustic stimulation, and two microphones are used to collect the DPOAE data from human ear and background noise respectively. Otoacoustic emission is modeled based on Volterra kernel. The feature of human ear’s DPOAE feature model is extracted intelligently by improved stimulation annealing genetic mixed algorithm. In order to apply this model feature to identification, its feasibility is verified by BP neural network. This provides a new biometric method for identity authentication.