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In this paper, we study the relationship between a novel personal entropy measure for online signatures and the performance of several state-of-the-art classifiers. The entropy measure is based on local density estimation by a hidden Markov model. We show that there is a clear relationship between such entropy measure of a person's signature and the behavior of the classifier. We carry out this study...
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