Computer Vision, Graphics, and Image Processing
Fundamentals of speech recognition
Fundamentals of speech recognition
Modelling Plastic Distortion in Fingerprint Images
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Synthetic Fingerprint-Image Generation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint matching from minutiae texture maps
Pattern Recognition
A fingerprint recognizer using interminutiae binary constraint graph
EURASIP Journal on Advances in Signal Processing
Fingerprint skeleton matching based on local descriptor
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Combining singular point and co-occurrence matrix for fingerprint classification
Proceedings of the Third Annual ACM Bangalore Conference
Fingerprint matching using minutiae coordinate systems
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Secure fingerprint matching with external registration
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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In this paper, an intrinsic coordinate system is proposed for fingerprints. First the fingerprint is partitioned in regular regions, which are regions that contain no singular points. In each regular region, the intrinsic coordinate system is defined by the directional field. When using the intrinsic coordinates instead of pixel coordinates, minutiae are defined with respect to their position in the directional field. The resulting intrinsic minutiae coordinates can be used in a plastic distortion-invariant fingerprint matching algorithm. Plastic distortions, caused by pressing the 3-dimensional elastic fingerprint surface on a flat sensor, now deform the entire coordinate system, leaving the intrinsic minutiae coordinates unchanged. Therefore, matching algorithms with tighter tolerance margins can be applied to obtain better performance.