Fingerprint Matching Using an Orientation-Based Minutia Descriptor

By Marius Tico, Pauli Kuosmanen. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003

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A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation (2019, methodology): “Moreover, the descriptor proposed by Feng [24] incorporates ridge frequency in the orientationbased minutia descriptor T&K [49].”
Fingerprint recognition by combining global structure and local cues (2006, background): “Recently, Tico and Kuosmannen [13] built a minutiae descriptor for each minutiae, which consists of the original minutiae point and a set of local orientation values uniformly sampled around this point.”
Combining minutiae descriptors for fingerprint matching (2008, methodology): “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.”
Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition (2010, neutral): “…al. [7] methods, which typically extend the feature set by taking into account: local orientation field, local frequency, ridge shape, etc., see [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33].”