Name
Title | ||
|---|---|---|
Comparison of Classification Methods for Time-Series Detection of Perspiration as a Liveness Test in Fingerprint Devices |
Abstract | ||
|---|---|---|
Fingerprint scanners may be susceptible to spoofing using artificial materials, or in the worst case, dismembered fingers. An anti-spoofing method based on liveness detection has been developed for use in fingerprint scanners. This method quantifies a specific temporal perspiration pattern present in fingerprints acquired from live claimants. The enhanced perspiration detection algorithm presented here improves our previous work by including other fingerprint scanner technologies, using a larger, more diverse data set, and a shorter time window. Several classification methods were tested on fingerprint images from 33 live subjects, 33 spoofs created with dental material and Play-Doh, and 14 cadaver fingers. Each method had a different performance with respect to each scanner and time window. However, all the classifiers achieved approximately 90% classification rate for all scanners, using the reduced time window and the more comprehensive training and test sets. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25948-0_36 | BIOMETRIC AUTHENTICATION, PROCEEDINGS |
Keywords | Field | DocType |
time series | Spoofing attack,Fingerprint recognition,Computer science,Image processing,Artificial materials,Artificial intelligence,Distributed computing,Pattern recognition,Fingerprint,Speech recognition,Scanner,Classification rate,Liveness | Conference |
Volume | ISSN | Citations |
3072 | 0302-9743 | 5 |
PageRank | References | Authors |
0.51 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephanie A. C. Schuckers | 1 | 695 | 66.09 |
| Sujan T. V. Parthasaradhi | 2 | 5 | 0.51 |
| Reza Derakhshani | 3 | 166 | 21.08 |
| Lawrence A. Hornak | 4 | 15 | 3.97 |