On-line signature verification using global features

On-line signature verification based on global features in an integration with Fisher Linear Discriminant Analysis (FLD) have been proposed in this paper. In the verification phase, distances of features of test signature are calculated against their corresponding template. Finally, these distances become inputs to FLD. User-dependent threshold has been used to evaluate the performance of our proposed method in comparison to other existing methods. We have used single-session and mix-session protocols for the evaluation of our proposed method using SUSIG database. Experimental results demonstrate the superiority of our approach in On-line signature verification in comparison with other techniques.