Palmprint matching using pairwise relative angle based Hausdorff distance
Fang Li, Maylor K. H. Leung · 2009
In this paper, we propose a novel approach for palmprint matching. We retrieve line-patterns in a rotation and translation invariant manner that tackles broken line problem. The local structure of line pattern is extracted as a set of pairwise angle relationships, which are simple, invariant to translation and rotation, robust to end-point erosion and segment error, and sufficient for discrimination. The matching experiment has shown encouraging results which implicate that line segments can provide sufficient information for palmprint recognition.