1. A method of electronically learning a signature, comprising the steps of: sampling a signature and obtaining raw data representative thereof using a recursive sampling process; translating the raw data into high dimension vectors; and extracting, via an unsupervised neural network, high order principal components of the high dimension vectors by cumulative ortho-normalization.