A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint matching combining the global orientation field with minutia
Pattern Recognition Letters
Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy
IEEE Transactions on Image Processing
Fingerprint matching using the distribution of the pairwise distances between minutiae
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint recognition by combining global structure and local cues
IEEE Transactions on Image Processing
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This paper proposes a new alignment method, which uses histograms based on minutiae orientations to correct rotational differences between two samples of the same fingerprint. Experimentation shows that the proposed alignment method is promising in terms of its accuracy, particularly for coarse rotational alignment. Evaluation of the method's speed proves that it is considerably faster than the exhaustive search alignment technique, which is typically used for aligning minutiae templates. The results obtained motivate the possibility of a hybrid alignment approach, where the proposed technique is used for fast and coarse rotational alignment of two minutiae templates, followed by a finer alignment provided by a different alignment strategy (such as the exhaustive search technique) for increased accuracy.