Signature identification by Minkowski dimension
Semyon S. Rudyi, Tatiana Vovk, Yu. Rozhdestvensky · Chaos An Interdisciplinary Journal of Nonlinear Science · 2019
In this article, we propose and investigate the possibility of signature identification based on its fractal Minkowski dimension. We consider a signature as a trajectory of a pen tip that obeys the Langevin equations, for which we calculate the fractal Minkowski dimension. This parameter is different for original and intentionally falsified signatures, thus allowing one to reliably distinguish between the signatures left by different persons. The proposed approach together with machine learning techniques is a potentially powerful tool for identification and verification of signatures and any other kind of notations.