Offline Signature verification scheme using DTI and NN classifiers

Signature detection have a major issue in digital verification of signature without using online help. Handwritten signature is one of the most vastly accepted personal attributes for identity verification. The main area of research on signature verification is in the field of pattern recognition and image processing. Earlier different method of feature detection and classifications has been used for the same purpose. We propose a novel approach in which we are doing vigorous feature detection and using Classifiers like Decision tree induction and Neural Networks. We setup a simulation environment in matlab for both feature detection and classification.