Authentication Model of Dynamic Signatures using Global and Local Features

摘要

We consider a stochastic model for signature verification using dynamic signatures. For verification of dynamic signature data, we will use both global features and local features. Global features are such as the signature drawing time, average pen speed, the signature size, and so on. Local features are the signature shape and pen pressures evaluated locally. The stochastic model is given from the principal components of the feature vector, and two measures are defined to evaluate the distance from the center of the distribution. In the experimental study, we got a good result for authentication