Name
Abstract | ||
|---|---|---|
The increasing usage of fingerprint biometrics as a security technology requires the biometric systems to be resistant against moderate or even high attack potential. To date, state-of-the-art fingerprint sensors can be deceived by using an accurate imitation of the ridge/valley pattern of an enrolled fingerprint that can be produced utilizing low-cost, commonly available materials and techniques. The structure of high-resolution 3D volumetric scans of fingertips, acquired by using the Optical Coherence Tomography (OCT), has been analyzed by this work so that a Presentation Attack Detection method could be developed that would render the artefact production process extremely difficult or even practically impossible. |
Year | Venue | Keywords |
|---|---|---|
2013 | Biometrics Special Interest Group | authorisation,data analysis,fingerprint identification,image sensors,optical tomography,rendering (computer graphics),OCT,access control,artefact production process rendering,attack resistant,fingerprint biometrics,fingerprint sensors,high-resolution 3D fingertip volumetric scans,optical coherence tomography,presentation attack detection method,volumetric fingerprint data analysis |
Field | DocType | Citations |
Computer vision,Optical coherence tomography,Image sensor,Computer security,Computer science,Fingerprint recognition,Authorization,Fingerprint,Artificial intelligence,Biometrics,Optical tomography | Conference | 4 |
PageRank | References | Authors |
0.61 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ctirad Sousedik | 1 | 49 | 2.85 |
| Ralph Breithaupt | 2 | 11 | 2.01 |
| Christoph Busch | 3 | 163 | 33.54 |