Ground truth and evaluation for latent fingerprint matching
2012 (English)In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012, Piscataway, NJ: IEEE Computer Society, 2012, 83-88 p.Conference paper (Refereed)
In forensic fingerprint studies annotated databases is important for evaluating the performance of matchers as well as for educating fingerprint experts. We have estab- lished ground truths of minutia level correspondences for the publicly available NIST SD27 data set, whose minutia have been extracted by forensic fingerprint experts. We per- formed verification tests with two publicly available minutia matchers, Bozorth3 and k-plet, yielding Equal Error Rates of 36% and 40% respectively, suggesting that they have sim- ilar (poor) ability to separate a client from an impostor in latent versus tenprint queries. However, in an identifica- tion scenario, we found performance advantage of k-plet over Bozorth3, suggesting that the former can rank the sim- ilarities of fingerprints better. Regardless of the matcher, the general poor performance is a confirmation of previous findings related to latent vs tenprint matching. A finding influencing future practice is that the minutia level match- ing errors in terms of FA and FR may not be balanced (not equally good) even if FA and FR have been chosen to be so at finger level.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Computer Society, 2012. 83-88 p.
, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, ISSN 2160-7508 ; 2012
SD27, latent, fingerprint
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:hh:diva-19621DOI: 10.1109/CVPRW.2012.6239220ScopusID: 2-s2.0-84864967905ISBN: 978-146731611-8OAI: oai:DiVA.org:hh-19621DiVA: diva2:552559
2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 16-21, 2012
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