Signature authentication has had a great attention in the field
of biometrics since it is a traditional method to personal
verification. Most of the work available in the literature use
kinetic (e.g. axial and normal forces), kinematic (e.g.,
position, velocity, acceleration, inclination angle) and
spatiotemporal features (e.g., stroke durations, stroke length,
in-air time) for the signature authentication and have ignored
the writer’s biomechanics. Therefore, this project studies the
grip patterns that people use when writing in order to use these
features to identify a person’s identity. We are proposing to
use the biomechanics of handwriting for signature authentication
by using a special instrumented pen while writing the signature
on a digitizing tablet. This pen measures how hard you press on
the page. It also measures how you hold the pen. This
information will help us to describe the uniqueness of each
person’s writing pattern and be able to identify an authentic
signature from a forged signature. Thi