Publications:Frequency map by Structure Tensor in Logarithmic Scale Space and Forensic Fingerprints

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Title Frequency map by Structure Tensor in Logarithmic Scale Space and Forensic Fingerprints
Author Josef Bigun and Anna Mikaelyan
Year 2016
PublicationType Conference Paper
Journal
HostPublication PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016)
Conference 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016; Las Vegas; United States; 26 June 2016 through 1 July 2016.
DOI http://dx.doi.org/10.1109/CVPRW.2016.32
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1161901
Abstract Increasingly, absolute frequency and orientation maps are needed, e.g. for forensics. We introduce a non-linear scale space via the logarithm of trace of the Structure Tensor. Therein, frequency estimation becomes an orientation estimation problem. We show that this offers significant advantages, including construction of efficient isotropic estimations of dense maps of frequency. In fingerprints, both maps are shown to improve each other in an enhancement scheme via Gabor filtering. We suggest a novel continuous ridge counting method, relying only on dense absolute frequency and orientation maps, without ridge detection, thinning, etc. Furthermore, we present new evidence that frequency maps are useful attributes of minutiae. We verify that the suggested method compares favorably with state of the art using forensic fingerprints as test bed, and test images where the ground truth is known. In evaluations, we use public data sets and published methods only.