On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Combining multiple matchers for a high security fingerprint verification system
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Image Warping with Scattered Data Interpolation
IEEE Computer Graphics and Applications
Fingerprint Indexing Based on Novel Features of Minutiae Triplets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A Minutia Matching Algorithm in Fingerprint Verification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Fingerprint Identification Using Delaunay Triangulation
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Fingerprint Matching Using Minutia Polygons
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
IEEE Transactions on Information Forensics and Security
Associating minutiae between distorted fingerprints using minimal spanning tree
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Hi-index | 0.24 |
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.