The algorithm design manual
Online Fingerprint Template Improvement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Fingerprint Identification Using Delaunay Triangulation
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Image Mosaicing for Rolled Fingerprint Construction
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Fingerprint Matching Algorithm Based On Delaunay Triangulation Net
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
Delaunay Triangulation Algorithm for Fingerprint Matching
ISVD '06 Proceedings of the 3rd International Symposium on Voronoi Diagrams in Science and Engineering
Fingerprint Matching Using Minutia Polygons
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
A deformable model for fingerprint matching
Pattern Recognition
Biometric template selection: a case study in fingerprints
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A hybrid swipe fingerprint mosaicing scheme
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint mosaicking by rolling and sliding
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Super-template generation using successive bayesian estimation for fingerprint enrollment
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Journal of Intelligent Manufacturing
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Fingerprint matching is often affected by the presence of intrinsically low quality fingerprints and various distortions introduced during the acquisition process. An effective approach to account for within-class variations is by capturing multiple enrollment impressions of a finger. The focus of this work is on effectively combining minutiae information from multiple impressions of the same finger in order to increase coverage area, restore missing minutiae, and eliminate spurious ones. We propose a new, minutiae-based, template synthesis algorithm which merges several enrollment feature sets into a ''super-template''. We have performed extensive experiments and comparisons to demonstrate the effectiveness of the proposed approach using a challenging public database (i.e., FVC2000 Db1) which contains small area, low quality fingerprints.