A Technique to Improve Ridge Flows of Fingerprint Orientation Fields Estimation
Abstract: An accurate
estimated fingerprint orientation fields is a significant step for detection of
singular points. Gradient-based methods are frequently used for estimating
orientation fields but those methods are sensitive to noise. Fingerprints that
perfect quality are seldom. They may be corrupted and degraded due to
impression conditions or variations on skin. Enhancement of ridge flows
improved the structure of orientation fields and hence increased the number of
true singular points thereby conducting the overallperformance of the
classification process. In this paper, we provided discussion on the technique
and implementation to improve local ridge flows of fingerprint orientation
fields. That main technique have four steps; firstly, fingerprint segmentation;
secondly, identification of noise areas and marking; thirdly,estimation of
fingerprint orientation fields, and finally, enhancement of ridge flows using
minimum varianceof the cross centre block direction in squared gradients. A
standard fingerprint database is used for testing of proposed technique to verify
the tier of effectivity of algorithm. The experimental results suggest that our
enhanced algorithm achieves visibly better ridge flows compare to other
methods.
Author: Saparudin, Ghazali
Sulong
Journal Code: jptkomputergg160250
