Skip to Content
Touchless Fingerprint Biometrics
book

Touchless Fingerprint Biometrics

by Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti
August 2015
Intermediate to advanced
242 pages
7h 33m
English
CRC Press
Content preview from Touchless Fingerprint Biometrics
Touchless Fingerprint Recognition
93
where u and v are the x and y spatial frequencies, respectively, in the frequency
domain, r
q
is a parameter empirically tuned according to the mean ridge frequency
of the used dataset, and α
q
is the spatial frequency of the frequency filter.
Then, the final estimation of the frame quality is given by analyzing the
enhanced image E using the software NIST NFIQ (described in Section 4.5), as
follows:
Q
NFIQ
= NIST NFIQ(E(x, y)). (5.11)
The filters described in Equation 5.9 and Equation 5.10 obtain images repre-
senting only the spatial wavelengths of the ridge pattern, which are compatible with
the approaches designed to estimate the quality of touch-based fingerprint samples.
We selected the software NIST NFIQ because it ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Advances in Biometrics for Secure Human Authentication and Recognition

Advances in Biometrics for Secure Human Authentication and Recognition

Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
Signal and Image Processing for Biometrics

Signal and Image Processing for Biometrics

Amine Naït-Ali, Régis Fournier
Security and Privacy in Cyber-Physical Systems

Security and Privacy in Cyber-Physical Systems

Houbing Song, Glenn A. Fink, Sabina Jeschke

Publisher Resources

ISBN: 9781498707626