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Multi-Modal Biometries System for Ubiquitous Sensor Network Environment  

Noh, Jin-Soo (Dept. of Electronic Engineering, Chosun University)
Rhee, Kang-Hyeon (Dept. of Electronic Engineering, Chosun University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.44, no.4, 2007 , pp. 36-44 More about this Journal
Abstract
In this paper, we implement the speech & face recognition system to support various ubiquitous sensor network application services such as switch control, authentication, etc. using wireless audio and image interface. The proposed system is consist of the H/W with audio and image sensor and S/W such as speech recognition algorithm using psychoacoustic model, face recognition algorithm using PCA (Principal Components Analysis) and LDPC (Low Density Parity Check). The proposed speech and face recognition systems are inserted in a HOST PC to use the sensor energy effectively. And improve the accuracy of speech and face recognition, we implement a FEC (Forward Error Correction) system Also, we optimized the simulation coefficient and test environment to effectively remove the wireless channel noises and correcting wireless channel errors. As a result, when the distance that between audio sensor and the source of voice is less then 1.5m FAR and FRR are 0.126% and 7.5% respectively. The face recognition algorithm step is limited 2 times, GAR and FAR are 98.5% and 0.036%.
Keywords
Biometrics; Voice and Face Recognition; Ubiquitous; Sensor Network;
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Times Cited By KSCI : 1  (Citation Analysis)
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