Publications:Ground truth and evaluation for latent fingerprint matching
From ISLAB/CAISR
| Title | Ground truth and evaluation for latent fingerprint matching |
|---|---|
| Author | Anna Mikaelyan and Josef Bigun |
| Year | 2012 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012 |
| Conference | 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 16-21, 2012 |
| DOI | http://dx.doi.org/10.1109/CVPRW.2012.6239220 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:552559 |
| Abstract | 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. |
