Dynamic Signature Verification using Local and Global Features

Handwritten Signature verification is a biometric technique that is useful because signatures are in many practices accepted as a means of identity verification. This work approaches signature verification using seprate filters with different approaches. In the first, global features of the signature, such as average velocity are considered using a Euclidian distance. In the second filter, local features are considered. Strokes are segmented using the minima of the velocity and encoded before comparing them using dynamic time warping and signer-specific thresholds.