Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A deformable model for fingerprint matching
Pattern Recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Fast fingerprint verification using subregions of fingerprint images
IEEE Transactions on Circuits and Systems for Video Technology
Embedding cylinder quality measures into minutia cylinder-code based latent fingerprint matching
Proceedings of the on Multimedia and security
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The accuracy of minutiae based fingerprint matching relies much on the minutiae extraction process. However, during minutiae extraction, false minutiae may be extracted due to bad fingerprint image quality. One commonly used solution to this problem is to filter out the false minutiae using minutiae quality scores. However, as indicated by the fingerprint matching results, the reliabilities of the existing minutiae scoring algorithms in discriminating genuine and false minutiae are significantly lower than that of the fingerprint matching process. To study the actual difficulties in minutiae filtering, we have conducted extensive experiments to compare two minutiae quality scoring algorithms. Then, four fingerprint matching strategies using minutiae quality scores were employed to investigate how the minutiae quality scores can affect fingerprint matching accuracy. Our results show that only proper combinations of minutiae quality scoring algorithms and fingerprint matching strategies can achieve improvement in fingerprint matching accuracy.