Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints

By Asker M. Bazen, S. H. Gerez. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002

656 citations recorded by the source corpus.

Subfields: Environmental Engineering, Safety Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/10dc94ee83756d16cbcdccd4e7c7d1bdf640d532

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Citations in the corpus

A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration (2010, neutral): “In the present study, we introduce a continuous method, average squared gradients [48], [49], to assign the main orientation.”
Generating Cancelable Fingerprint Templates (2007, methodology): “There have been several approaches to determine the core and delta [2], [12], [17], [27], but precise estimation remains a difficult problem.”
Gabor Filter-Based Fingerprint Anti-spoofing (2008, methodology): “Here, we use the Poincare index method to determine a core point [ 9 ].”
Fingerprint recognition by combining global structure and local cues (2006, methodology): “To estimate the parameters for the models, first we compute the original orientation field, , extracted by using the method similar with those in [5], [22]–[24].”
A Fingerprint Orientation Model Based on 2D Fourier Expansion (FOMFE) and Its Application to Singular-Point Detection and Fingerprint Indexing (2007, background): “The OF can be extracted directly from the gradients of image gray intensity changes [11], [21].”
Fast mode decision algorithm for intraprediction in H.264/AVC video coding (2005, background): “There are a number of ways to get the local edge directional information, such as edge direction histogram which is based on a simple edge detection algorithm [9], and directional fields which are based on the local gradients [10], etc.”
Handbook of Fingerprint Recognition (2005, background): “The fingerprint distortion problem (point 1 in the above list) is usually addressed by computing the correlation locally instead of globally: a set of local regions (whose typical size may be 24 × 24 or 32 × 32) is extracted from the template image T and each of them is independently correlated with”
Fingerprint Image Reconstruction from Standard Templates (2007, background): “This particular model has been considered better suited to this optimization task among the various ones proposed in the literature [31], [34], [4] [37], [19] since it is able to effectively represent most of the orientation patterns with a small number of parameters.”
Fingerprint classification: a review (2004, methodology): “Several algorithms using this approach can be found in the literature [23, 24, 25, 26].”