Titlebook: Audio- and Video-Based Biometric Person Authentication; 5th International Co Takeo Kanade,Anil Jain,Nalini K. Ratha Conference proceedings

neuron

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Sabina Sabatini,Sarah Roberts,Jon Davies combine the facial configuration and temporal dynamics for the recognition task. The proposed method treats this problem in two steps. We first construct several view specific appearance sub-manifolds learned from the training video frames using locally linear embedding (LLE). A general Bayesian in

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Reuven Ramaty,Richard E. Lingenfelterion systems that use many fingers or multiple impressions of the same finger are more efficient and reliable than systems that use a single finger. However, multiple impressions give inconvenience to the user and increase the overall verification time. Therefore, we use only two fingers (multi-unit

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Elisabeth Vangioni-Flam,Michel Casséeld to investigate. This paper proposes a fingerprint authentication system for mobile phone security application. A prototype of our system is developed from the platform of BIRD E868 mobile phone with external fingerprint capture module. It is composed of two parts. One is the front-end fingerprin

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Reuven Ramaty,Richard E. Lingenfelter In selecting a combination of both methods, instead of selecting one of the methods, we obtain a . registration system. If the combined methods are based on different features in the fingerprint, e.g. the minutiae points respective the orientation field, they are uncorrelated and a higher registrat

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The Determination of Cosmological Parameters retrieval within the large-scale databases. It is designed for the continuous classification methodology. This method captures unique characteristics for each fingerprint from the distribution of combined features of orientation and inter-ridge spacing of local area. The merit of the proposed appro