Generation of signatures by deformations

Abstract

The techniques of automatic classification of hand-written signatures have been studied and some of them are based on the application of neuronal nets or statistical methods. Nevertheless, the great number of samples required by these methods turns many of its practical applications unfeasible. This article describes a technique for automatic generation of signatures originated from the deformation of a reduced number of genuine samples. The technique used here is based on convolution between deforming polynomials representing the deformations and the signals representing the horizontal and vertical moves of the pen, required for the reproduction of the original samples. The result of the convolution produces the deformation of those signals and, consequently, the deformation of the tracing obtained from them.