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

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{{PublicationSetupTemplate|Author=Josef Bigun, Anna Mikaelyan
|PID=1161901
|Name=Bigun, Josef (josef) (0000-0002-4929-1262) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Mikaelyan, Anna (annmik) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938))
|Title=Frequency map by Structure Tensor in Logarithmic Scale Space and Forensic Fingerprints
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=
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|Status=
|Volume=
|Issue=
|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.
|StartPage=204
|EndPage=213
|Year=2016
|Edition=
|Pages=
|City=Piscataway, NJ
|Publisher=IEEE
|Series=IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
|SeriesISSN=2160-7508
|ISBN=978-1-5090-1437-8
|Urls=
|ISRN=
|DOI=http://dx.doi.org/10.1109/CVPRW.2016.32
|ISI=000391572100025
|PMID=
|ScopusId=2-s2.0-85010210669
|NBN=urn:nbn:se:hh:diva-35669
|LocalId=
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|Keywords=Absolute frequency;Gabor filtering;Logarithmic scale;Orientation estimation;Orientation maps;Ridge detections;State of the art;Structure tensors
|Categories=Signalbehandling (20205);Sannolikhetsteori och statistik (10106)
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|Abstract=<p>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.</p>
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|CreatedDate=2017-12-01
|PublicationDate=2017-12-01
|LastUpdated=2017-12-01
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1161901}}
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