Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system

摘要

A novel pseudo-outer product based fuzzy neural network(POPFNN-TVR)driven signature verification system called the antiforgery system is presented in this paper. As Plamondon and Lorette have stated that the design of a signature verification system generally requires the solution of five types of problems: data acquisition, preprocessing, feature extraction, comparison process, and performance evaluation. However, unlike most existing automatic signa- ture verification systems which employ traditional techniques(i.e. image processing techniques) to solve these problems, the proposed system is constructed on the basis of a novel fuzzy neural network called the POFNN-TVR.