Milton Roberto Heinen,  Fernando Santos Osório. 

The main goal of this paper is to describe our study, research and implementation of a handwritten signatures authentication system. This system is composed of three modules, the Data Acquisition Module, responsible for the on-line users’ signatures reading through a pen tablet, the Pre-processing Module, responsible for the extraction of representative signature features, and the Neural Module, that learns how to recognize users’ signatures, classified as authentic or not, through the use of an Artificial Neural Network. Several simulations were accomplished using a proposed system, and the obtained results were 99.96% of correct recognition.

http://www.lbd.dcc.ufmg.br/colecoes/enia/2005/053.pdf

Processando consulta.