A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Sweat pores-based (level 3) novel fingerprint quality estimation
2010
2010 3rd International Conference on Computer Science and Information Technology
Poor-quality images mostly result in spurious or missing features, which further degrade the overall performance of the recognition systems. This work augments the fingerprint quality with respect to one of the level 3 micro features, i.e., sweat pores. The paper proposes sweat poresbased an effective fingerprint quality estimation scheme, which is a multi-factor quality assessment model comprises five quality measures estimating their respective quality scores. The scores are then fused into a
doi:10.1109/iccsit.2010.5563764
fatcat:3gmzx7crtbg3becjyr4lnimk5q