  Biometric based authentication for secured access to resources has gained
importance, due to their reliable, invariant and discriminating features.
Palmprint is one such biometric entity. Prior to classification and
identification registering a sample palmprint is an important activity. In this
paper we propose a computationally effective method for automated registration
of samples from PlolyU palmprint database. In our approach we preprocess the
sample and trace the border to find the nearest point from center of sample.
Angle between vector representing the nearest point and vector passing through
the center is used for automated palm sample registration. The angle of
inclination between start and end point of heart line and life line is used for
basic classification of palmprint samples in left class and right class.
