Name
Abstract | ||
|---|---|---|
In this letter, we propose a novel image descriptor for fingerprint liveness detection using the local coherence of a given image. Based on the observation that materials employed for making fake fingerprints (e.g., silicone, wood glue, etc.) tend to yield the nonuniformity in the captured image due to the replica fabrication process, we focus on the difference of the dispersion in the image gradi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LSP.2016.2636158 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Coherence,Histograms,Feature extraction,Fabrication,Dispersion,Noise measurement,Standards | Computer vision,Histogram,Image gradient,Pattern recognition,Support vector machine,Feature extraction,Coherence (physics),Fingerprint,Artificial intelligence,Classifier (linguistics),Mathematics,Liveness | Journal |
Volume | Issue | ISSN |
24 | 1 | 1070-9908 |
Citations | PageRank | References |
8 | 0.45 | 10 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wonjun Kim | 1 | 301 | 26.50 |