SIGNATURE VERIFICATION USING GLOBAL AND GRID FEATURES

In this work, algorithms for extracting global geometric and local gri d features of signature images were developed. These features were com bined to build a multi-scale verification function. This multi-scale v erification function was evaluated using statistical procedures. Resul ts indicated that the multi-scale verification function yielded a lowe r verification error rate and higher reliability than the single-scale verification function using either global geometric or local grid fea ture representation. The correct verification rate of the multi-scale system was more than 90% in rejecting skilled forgeries and was perfec t in rejecting simple forgeries based on a limited database.