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30 April 2007 Multimodal human verification using stereo-based 3D inforamtion, IR, and speech
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In this paper, we propose a personal verification method using 3D face information, infrared (IR), and speech to improve the rate of single biometric authentication. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamental bottleneck of real-time personal verification. Proposed method uses principal component analysis (PCA) for face recognition and hidden markov model (HMM) for speech recognition based on stereo acquisition system with IR imagery. 3D face information acquires face's depth and distance using a stereo system. The proposed system consists of eye detection, facial pose direction estimation, and PCA modules. An IR image of the human face presents its unique heat-signature and can be used for recognition. IR images use only for decision whether human face or not. It also uses fuzzy logic for the final decision of personal verification. Based on experimental results, the proposed system can reduce FAR which provides that the proposed method overcomes the limitation of single biometric system and provides stable person authentication in real-time.
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Changhan Park "Multimodal human verification using stereo-based 3D inforamtion, IR, and speech", Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65431D (30 April 2007);

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