Segmentation of fingerprint images using the directional image
Pattern Recognition
An approach to fingerprint filter design
Pattern Recognition
Detection of singular points in fingerprint images
Pattern Recognition
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Minutiae: A Constructive Definition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Fingerprint classification with neural networks
SBRN '97 Proceedings of the 4th Brazilian Symposium on Neural Networks (SBRN '97)
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Flag: the fault-line analytic graph and fingerprint classification
Flag: the fault-line analytic graph and fingerprint classification
Markov random field models for directional field and singularity extraction in fingerprint images
IEEE Transactions on Image Processing
Enhanced SEA algorithm and fingerprint classification
International Journal of Computer Applications in Technology
Reference Point Detection for Arch Type Fingerprints
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Experiment and analysis services in a fingerprint digital library for collaborative research
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
ATPDI: a computational definition of fingerprint singular points
International Journal of Information Technology and Management
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Correctly locating singular points (core and delta points) is crucial for most fingerprint classification and recognition applications. In this paper, we propose an algorithm to compute pixel direction and in return create essential primitive features called fault lines. By analyzing direction sequence of fault lines, we are able to provide a computational definition of singular points and distinguish different types of singular points. We also present a shrinking and expanding algorithm (SEA) based on a scale-pyramid model to extract singular points within an area as small as 2x2pixels from fingerprint images. Our algorithm is rotation insensitive and can be applied to all types of fingerprints. Fingerprint images from the FVC2004 database are used for an experimental test, and the accuracy rate of the algorithm on identifying singular points is 92.2% (97.6% for core and 83% for delta points).