Authors:
Laurenz Ruzicka
1
;
Bernhard Strobl
1
;
Bernhard Kohn
1
and
Clemens Heitzinger
2
Affiliations:
1
DSS, Austrian Institute of Technology, Giefinggasse 4, Vienna, Austria
;
2
Mathematics and Geoinformation, TU Wien, Karlsplatz 13, Vienna, Austria
Keyword(s):
Biometrics, Fingerprint, Core, Bayesian Information Criterion, Monte Carlo Goodness-of-Fit, NFIQ 2.
Abstract:
Fingerprints have long been recognized as a unique and reliable means of personal identification. Central to
the analysis and enhancement of fingerprints is the concept of the fingerprint core. Although the location of the
core is used in many applications, to the best of our knowledge, this study is the first to investigate the empirical
distribution of the core over a large, combined dataset of rolled, as well as plain fingerprint recordings. We
identify and investigate the extent of incomplete rolling during the rolled fingerprint acquisition and investigate
the centrality of the core. After correcting for the incomplete rolling, we find that the core deviates from the
fingerprint center by 5.7% ± 5.2% to 7.6% ± 6.9%, depending on the finger. Additionally, we find that the
assumption of normal distribution of the core position of plain fingerprint recordings cannot be rejected, but for
rolled ones it can. We find the non-central Fischer distribution best describes the core
s’ horizontal positions.
Finally, we investigate the correlation between mean core position offset and the NFIQ 2 score and find a weak
preference of the NFIQ 2 towards rolled recordings with a lower than central core.
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