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On-line handwritten signatures are collected as real-time dynamical signals which are written on collective devices by users. Since individuals have different writing habits, consistent and discriminative features should be selected to distinguish genuine signatures from forged signatures. In this paper, two methods, which are based on full factorial experiment design and optimal orthogonal experiment...
On-line handwritten signatures are collected as real-time dynamical signals, which are written on collective devices by users. Since writing environments are always changed, fluctuations can be caused by signature size, location and rotation angle which being various at each inputting. Signatures should be effectively aligned before verification, which can diminish deviations caused by these fluctuations...
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