Offline signature verification:A new rotation invariant approach

Rotation problem is one of the major difficulties to distinguish signature patterns in off-line skilled signature verification. This paper presents a new approach utilizing ring-peripheral features to tackle this problem. In principle, ring-peripheral features are able to describe internal and external structure of signatures with different phase shift. In order to extract stable and consistent presentation of signature patterns for verification purpose, FFT is used to eliminate phase effects. In the training samples stage, we employ a selection function to pick up reasonable samples for better threshold estimation. Experiment results demonstrated that the proposed method was successful to improve verification accuracy.