A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features

Identity verification using the dynamic signature is an important biometric issue. Its big advantage is that it is commonly socially acceptable. Verification based on so-called global features is one of the most effective methods used for this purpose. In this paper we propose an approach which minimises a number of the features used during verification process due to check how the number of features affects the classification result. The paper contains the simulation results for the public MCYT-100 database of the dynamic signatures.

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