A compensation scheme of fingerprint distortion using combined radial basis function model for ubiquitous services

Abstract

Pervasive computing has explosive impact in the application, including security and accessibility of distributed systems. With the increasing demand of information security and accessibility, more and more distributed systems use fingerprint identification technique as the access control. Most fingerprint recognition techniques are based on minutiae matching and have been well studied. However, this technology still suffers from problems associated with the handling of poor quality impressions. One problem besetting fingerprint matching is distortion. Distortion changes both geometric position and orientation, and leads to difficulties in establishing a match among multiple impressions acquired from the same finger tip. In this paper, according to the particularity of fingerprint distortion, we propose a combined radial basis function (RBF) model, which separately builds rigid and nonrigid transformations, for attacking the distortion problem. Combined RBF model provides more accurate mapping function between a possible matched-pair. Experiments on real data demonstrate the efficacy of the proposed method in improving the compensation of fingerprint distortion. Also, the security and accessibility of the system using our method are further enhanced.