Off-line Signature Verification (SV) using the Chi-square statistics
M. Taylan Daş, L. Canan Dülger, Hikmet Ergin Dülger · International Journal of Biometrics · 2010
Off-line Signature Verification (SV) is performed using Particle Swarm Optimisation?Neural Network (PSO?NN) algorithm. The technique is based on NN approach trained with PSO algorithm. The presented verification system includes image-processing techniques and other mathematical tools in its structure. To test the performance of the proposed algorithm, three types of forgeries, namely random, unskilled and skilled, are examined. A database with 1350 skilled and genuine signatures taken from 25 volunteers is used for testing the algorithm. The experimental results are presented with comparisons on verification accuracy and statistical figures.