They were able to correctly identify 19 pairs out of
30, a score of 63.3%. From the 11 misclassified, two
were considered classification errors, which means
both images were Good but were incorrectly matched
by mistake. The matching test was then repeated with
another set of 30 newborns, randomly choosen from
the remaining 76, and the experts were able to cor-
rectly identify 20 pairs out of 30 (67.7%), confirming
the previous identification rate.
5 CONCLUSIONS
In this article we presented a newborn palmprint ac-
quisition technique that uses a high-resolution opti-
cal sensor and provides an identification rate at least
three times higher than ink and paper based footprints.
Whilst most authors have concluded that footprints
taken at birth do not provide good images, with cor-
rect identification rates ranging from 0% to 20%, the
method developed in this paper was able to correctly
identify 63.3% and 67.7% of the babies, and 83%
had palmprints with enough quality to allow identi-
fication.
Results also show that palmprints yield better
quality images than footprints despite having a more
difficult acquisition, since babies do not willingly
open their hands.
Finally, the images obtained with this method are
still not as good as adult fingerprints returned by
500d pi sensors. Reasons for this include the fragile
constitution of newborn’s ridges and their dry skin.
Improvements in the technique could be attained by
changing or applying less moisturiser; modifying the
sensor so that images can be analysed straightaway
after acquisition, and making it more comfortable for
newborns hand, so that less pressure has to be applied.
Future research should focus on two remaining
tasks: (1) improve the image acquisition method and
sensor; and (2) develop a software to automatically
identify newborns using these images.
ACKNOWLEDGEMENTS
The authors gratefully acknowledge the contribution
of the Secretaria de Seguranc¸a P
´
ublica do Estado do
Paran
´
a for indicating fingerprint experts Ademir Jos
´
e
Menegazzo, M
´
arcia de Loyola Heridas Thomaz and
Vivian Carvalho Ruzik, from the IIPR, who helped on
data collection and analysis of the images. The nurses
working at the maternity ward of the University Hos-
pital, whom contributed significantly while caring for
the babies, and CAPES, CNPq and FINEP for their
financial support for the project.
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