Real-time signature verification using neural network algorithms to process optically extracted features
Ned F. O’Brien, Steven C. Gustafson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
A technique for handwritten signature verification is proposed which combines the pattern recognition abilities of neural networks with the feature extraction capabilities of optics. This two-part technique enables real time signature verification based upon power spectrum features and stored linear least squares and Gaussian radial basis function neural network weights.