Palmprint classification using principal lines

This paper proposes a novel algorithm for the automatic classification of low-resolution palmprints. First we use some directional line detectors to extract the principal lines according to their characteristics and their definitions in two steps: the potential beginnings (“line initials”) of the principal lines are extracted and then, on the basis of these line initials, a recursive process is applied to extract the principal lines in their entirety. Then palmprints are classified into six categories based on the number of the principal lines and the number of their intersections. The proposed algorithm has been shown to classify palmprints with an accuracy of 96.03%.