Fingerprint minutiae matching based on the local and global structures

By Xudong Jiang, Wei Yun Yau. Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000

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Combining minutiae descriptors for fingerprint matching (2008, background): “When human fingerprint experts determine if two fingerprints are from the same finger, the matching degree between two minutiae pattern is one of the ∗ Tel.”
Fingerprint Matching Using an Orientation-Based Minutia Descriptor (2003, methodology): “Consequently, one must allow a certain tolerance between the positions and directions of corresponding minutiae by employing an elastic matching algorithm as proposed in [12], [13], and [15].”
A minutia-based partial fingerprint recognition system (2005, background): “For matching regular sized fingerprint images, a brute-force matching, which examines all the possible solutions, is not feasible since the number of possible solutions increases exponentially with the number of feature points on the prints [3].”
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation (2019, methodology): “Furthermore, Jiang and Yau [23] described a”
Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition (2010, methodology): “Local minutiae matching algorithms evolved through three generations of methods: 1) the earlier approaches, whose local structures were typically formed by counting the number of minutiae falling inside some regions and no global consolidation was performed [4], [5], 2) the approaches by Jiang and Y”