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Design of Multi-modal Biometrics System and Sensor Network Security System based on USN
Jinsoo NOH,Kanghyeon RHEE 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
In this paper, we implement a multi-modal biometrics system to support various ubiquitous sensor network application services. The proposed system consists of a speech, a face, a palmprint recognition module and USN sensor network module. The speech recognition module has the psychoacoustic model, FFT(Fast Fourier Transform) and LDPC(Low Density Parity Check), the face and palmprint recognition’s main algorithms are PCA(Principle Components Alnalysis) and Invarient moments respectively . The proposed system is inserted in a HOST PC to use sensor energy effectively. To improve accuracy, a FEC (Forward Error Correction) system is also implemented in the system and optimized the simulation coefficient.