A new method to generate synthetic online signatures is presented. The algorithm uses a parametrical model to
generate the synthetic Discrete Fourier Transform (DFT) of the trajectory signals, which are then refined in the
time domain and completed with a synthetic pressure function. Multiple samples of each signature are created
so that synthetic databases may be produced. Quantitative and qualitative results are reported, showing that,
in addition to presenting a very realistic appearance, the synthetically generated signatures have very similar
characteristics to those that enable the recognition of real signatures.