fingerprint ridge frequency estimation in the fourier domain
Clicks: 186
ID: 173156
2014
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
3.6
/100
12 views
12 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Ridge frequency is an important parameter in fingerprint image processing and feature extraction. However,
ridge frequency estimation is a difficult task in noisy fingerprint images. A simple and accurate method
for the computation of fingerprint ridge frequency using the Fourier spectrum is proposed. The results
of the experiments conducted on a collection of fingerprints as well as a quantitative method for performance
evaluation based on a Gabor filter-bank are presented. The proposed method is robust with respect to noise
and reliable frequency images are obtained.
| Reference Key |
v.-v.2014advancesfingerprint
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;PATRICIU, V.-V.;SPINU, S. |
| Journal | JMIR mHealth and uHealth |
| Year | 2014 |
| DOI |
10.4316/AECE.2014.04014
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.