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The following topics are dealt with: monocular human pose tracking using multiframe part dynamics; automatic tracking of swimming microorganisms in 4D digital in-line holography data; comparison of two multiple hypothesis tracking approaches to interpret 3D object motion from several camera views; nonlinear parametric Bayesian regression for robust background subtraction; simultaneous in-plane motion...
The authors present a secure facial recognition system. The biometric data are transformed to the cancellable domain using high-order polynomial functions and co-occurrence matrices. The proposed method has provided both high-recognition accuracy and biometric data protection. Protection of data relies on the polynomial functions, where the new reissued cancellable biometric can be obtained by changing...
Although, biometrics provide high-confidence and trusted security, they suffer from a fatal weakness that emerges from permanence and limitation in quantities. Such a drawback puts biometric data under a substantial risk of fraudulent, which makes the replacement of traditional authentication systems infeasible with the lack of proper biometric data protection. This paper presents a novel biometric...
In this paper, we present a new technique to protect the face biometric during recognition, using the so called cancellable biometric. The technique is based on image-based (statistical) face recognition using the 2DPCA algorithm. The biometric data is transformed to its cancellable domain using polynomial functions and co-occurrence matrices. Original facial images are transformed non-linearly by...
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