A novel fingerprint matching scheme combining graphical model and thin plate spline model

Abstract

Thin-plate spline (TPS) model has been utilized in fingerprint match to deal with nonlinear deformation by Bazen and Gerez in 2002. The matching algorithm is composed of two parts, the local match and the global match. In local match, candidate corresponding points from two minutia sets are obtained by local triangle match which is used for generating TPS model in global match. However, not all candidate pairs are true corresponding ones in prints, and the spurious pairs influence the final results. Here we present a novel matching scheme that inserts the graphical model-based confirming process between the local match and the global match. This middle process not only minimizes the effects of spurious matched pairs, but also provides the reliable degree of candidate pairs used for similarity. Experiments on databases of FVC2004 achieve the good performance.